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    • Discovering the Potential of AI for Social ImpactEffective prompting is crucial for getting the best results from AI models, and Abron Maldonado shares insights on this essential skill set for social impact use cases.

      Effective prompting with AI models like ChatGPT goes beyond copying and pasting prompts from others. Instead, it requires a unique skill set that OpenAI ambassador and Create Labs Ventures co-founder Abron Maldonado emphasizes. Abron, who was a social impact worker during the pandemic, discovered his passion for AI when he came across the early versions of GPT 2 and 3. Despite having limited access, he saw the potential for social impact use cases. Today, Abron shares his insights on effective prompting, which he believes is crucial for getting the best results from AI models. Stay tuned to learn more about this essential skill set. Host Jordan Wilson emphasizes the importance of this episode, especially for newcomers to AI, as they will gain valuable insights into effective prompting. As a daily AI enthusiast, Jordan continues to explore ways to improve his understanding and application of generative AI. Tune in to the Everyday AI Show for practical advice, daily livestreams, and a free newsletter to help you grow your business and career using AI.

    • Effective communication skills are crucial for maximizing AI potentialCommunication skills are vital for human interaction and interacting with AI models. Embrace them to unlock AI's potential and discover innovative applications.

      Effective communication skills are essential for maximizing the potential of AI tools like ChatGPT. Abron's story illustrates this perfectly. He was approached by Greg Brockman to become an ambassador for OpenAI, which led him to engage with thousands of people worldwide, helping them understand and use OpenAI tools. Throughout this journey, Abron discovered various use cases for the technology, broadening his perspective. Communication skills are not only crucial for human interaction but also for interacting with AI models. While some may believe they're not technical enough to utilize AI, the reality is that these tools rely on human-like communication. In fact, Abron emphasizes that his background in helping seniors and focusing on good use of technology made him an ideal candidate for this role. Effective communication is a skill that can be refined and honed, and now is the time for individuals from various backgrounds to embrace it and explore the possibilities of AI. By learning how to communicate with these models, you can unlock their potential and discover innovative applications, making a positive impact on both business and society.

    • Effective prompt engineering for AI modelsClear communication, understanding of machine capabilities, and willingness to adapt and refine instructions are essential for effective prompt engineering for AI models.

      Effective prompt engineering goes beyond providing a simple command or instruction to a machine. Instead, it requires clear and concise communication of your desired outcome and use case. Engineers, for instance, may focus too much on the technical aspects and overlook the importance of explaining their problem and ideal scenario to the machine. Think of prompt engineering as a shared guided independent model. It's a conversation between you and the machine, where you guide it with your instructions, provide feedback, and eventually, let it work on its own. This approach is essential for AI models to learn your patterns, tendencies, and desired output. Moreover, buying a prompt book or relying solely on pre-existing prompts may not yield the best results. While they can serve as inspiration, you should adapt them to your specific use case and desired outcome. This customization allows the machine to better understand your needs and produce more accurate and effective results. Effective prompt engineering requires clear communication, understanding of the machine's capabilities, and a willingness to adapt and refine your instructions based on feedback. By focusing on these aspects, you can unlock the full potential of AI models and achieve better results.

    • Mastering the art of prompting in the age of AILearning to prompt effectively is crucial for productivity and value in the workforce as companies increasingly rely on AI tools. Practice active listening, ask clarifying questions, and seek feedback to improve communication skills.

      Prompting is an essential skill in the age of AI, and it's not something that can be overlooked or borrowed from others. According to the discussion, using someone else's prompts may hinder your growth and limit your understanding of the most important skill set moving forward. As the speaker pointed out, prompting is becoming a required skill set, just like knowing how to use Microsoft Office or Excel was in the past. Companies are increasingly relying on AI tools, and those who are proficient in using these tools, including prompt engineering, will be more productive and valuable in the workforce. For those who struggle with communication, which is an essential aspect of prompting, the speaker suggested some tips. First, they should learn the basics of prompting and become comfortable with the tools. They can also practice active listening and ask clarifying questions to improve their understanding of prompts. Additionally, they can seek feedback from others to identify areas for improvement and work on building their communication skills. Overall, the discussion emphasized the importance of prompting as a foundational skill in the age of AI and encouraged everyone to invest time and effort in mastering it.

    • Improving communication with AI through priming, prompting, and polishingEffective communication with AI models like ChatGPT can be improved by properly priming, prompting, and polishing user inputs. Users can communicate their needs in their own style, making interactions more accessible and efficient for individuals with communication challenges.

      Effective communication with AI models like ChatGPT can be improved significantly through proper priming, prompting, and polishing, as shared by Jordan, the host of Everyday AI. Lindy, an educational consultant, testified to this after struggling with her results and realizing her mistake was in her priming. This free course, available only to loyal listeners at podpp.com, aims to address this issue. Communication skills, whether verbal or written, can be challenging for some individuals, including children and neurodivergent learners. ChatGPT, with its speech recognition and understanding of intent, offers a solution to these struggles. Users can communicate their needs in their own style, without worrying about grammar or exact phrasing, making the interaction more accessible and efficient. An example of this was shared by a woman trying to understand currency conversions, whose question, though unclear, was understood by ChatGPT. This demonstrates the importance of accommodating various communication styles and abilities in our increasingly AI-driven world. Elon Musk, in his pursuit of Neuralink, a brain-computer interface, acknowledged the loss of communication that occurs between brain thoughts and physical output, such as typing or texting. ChatGPT, with its ability to understand intent, helps bridge this gap and makes communication with AI more intuitive and seamless.

    • Effective communication with AI modelsImprove communication skills to get better results from AI, English as a new programming language, everyone can benefit regardless of background

      Effective communication is key when working with AI models like ChatGPT. Brian's insight about the brain chip being an assistant to help individuals express their thoughts, whether through speaking or writing, highlights the importance of natural language interaction. Ben's agreement that the show is one of the best everyday AI shows underscores the growing impact of AI in our lives. Abron emphasizes that everyone, regardless of their background or profession, can benefit from improving their communication skills to get better results from AI models. He also references Blake Lemoine, who famously questioned the sentience of AI, and encourages those with English or humanities backgrounds not to feel left behind in the tech industry. Instead, they can leverage their existing skills to communicate effectively with AI, making English a new programming language in its own right.

    • The Role of Diverse Experts in AI Prompt EngineeringDiverse experts, such as educators, authors, poets, and artists, contribute valuable perspectives and skills to AI prompt engineering, guiding the learning process and helping AI deliver expert-level results. The recent release of the GPT store marks a significant shift in AI accessibility and potential impact on businesses.

      The expertise of individuals from various backgrounds, particularly those with strong communication and humanities skills, is highly valuable in the field of prompt engineering for artificial intelligence (AI). These individuals, including educators, authors, poets, and artists, bring unique perspectives and abilities that contribute to the development and refinement of AI language models. These models, much like young learners, require clear and intentional instructions to reach their full potential. The role of a prompt engineer is to provide these instructions, guiding the AI's learning process and helping it to deliver expert-level results. The recent release of the GPT store marks a significant shift in how everyday people can engage with and utilize AI technology. The potential impact on business and work processes is vast, and it's predicted that the GPT store could eventually surpass the popularity of the iOS Apple App Store. During a recent event, I had the opportunity to witness the announcement of the GPT store and was impressed by OpenAI's founder's approach to innovation – releasing a product when it's 80% complete instead of waiting for it to be perfect. This philosophy aligns with the agile and creative mindset of the diverse group of prompt engineers and experts in various fields who are shaping the future of AI.

    • Embrace imperfection and release projects for feedbackCompanies like OpenAI release incomplete projects for feedback, encouraging improvement. Teachers can use AI technology for personalized solutions, benefiting students with unique learning needs.

      It's essential to release incomplete projects and put ideas out there for feedback, rather than waiting for perfection. Companies like OpenAI have done this successfully, allowing users to determine the value and potential for improvement. Additionally, the future may hold a shift away from websites and apps, towards interacting with a single AI for various tasks. Teachers, in particular, are encouraged to take an active role in creating custom solutions for their students using AI technology, rather than waiting for pre-made options. This personalization can be especially beneficial for students with unique learning needs. Ultimately, embracing the iterative process and actively engaging with new technology can lead to more effective and personalized solutions.

    • Creating customized GPTs for each departmentCommunicate effectively, have bravery, and focus on specific needs to create customized GPTs, leading to more effective and impactful outputs in the rapidly evolving tech field.

      Organizations should create customized Generalized Purpose Technologies (GPTs) for each department to better understand and utilize their unique needs, leading to more effective and impactful outputs. Communication and bravery are essential in this process. As the speaker mentioned, in the early days of GPTs, there was no luxury of courses or certifications, and everyone started from scratch. With the rapid advancement of technology, everyone, including industry leaders, starts at the same point when a new technology emerges. Therefore, those who are brave enough to try it out have an advantage. The potential applications of GPTs are unlimited, and the volume of valuable apps will surpass what's in the iOS app store. However, the app store is filled with garbage, making it crucial to approach GPTs with a focused and specific mindset. In summary, creating customized GPTs for each department, communicating effectively, and having the bravery to try new technologies are key to staying ahead in this rapidly evolving field.

    • Sharing demos can lead to unexpected opportunitiesSharing demos of your work can catch the attention of potential employers or collaborators, leading to new opportunities and career growth.

      Creating and sharing demos of your work can lead to unexpected opportunities and potential job offers. You don't necessarily need extensive credentials or experience to make an impact. Instead, be brave, communicate effectively, and be open to collaborating with others. Demos serve as a tangible representation of your skills and can catch the attention of potential employers or collaborators. So, try something new, share your work with the community, and be open to new opportunities that may come your way. Remember, saying "yes" and then figuring it out later can lead to great things. Don't underestimate the power of a well-executed demo and the potential impact it can have on your career. Keep experimenting, keep sharing, and keep an open mind. For more insights and resources, visit everydayaidotcom and subscribe to our daily newsletter.

    Recent Episodes from Everyday AI Podcast – An AI and ChatGPT Podcast

    EP 284: Building A Human-Led, AI-Enhanced Justice System

    EP 284: Building A Human-Led, AI-Enhanced Justice System

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    When we talk about AI, it's always about efficiency, more tasks, more growth. But when it comes to the legal system, can AI help law firms with impact and not just efficiency? Evyatar Ben Artzi, CEO and Co-Founder of Darrow,  joins us to discuss how AI can enhance the legal landscape.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Evyatar questions on AI in the justice system

    Related Episode: Ep 140: How AI Will Transform The Business of Law

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Use of generative AI in the legal system
    2. Use of LLMs in the legal system
    3. AI's impact on efficiency in the legal industry

    Timestamps:
    01:20 Daily AI news
    04:35 About Evyatar and Darrow
    06:16 Challenges accessing information for lawyers
    09:27 AI efficiency movement is responsible for workload.
    10:24 AI revolutionizing legal world for success.
    16:51 Efficiency affects law firm's ability to bill.
    21:30 Improving mental health in legal profession with agility.
    26:55 Loss of online communities raises concerns about memory.
    27:58 Law firms pursuing right to be remembered.

    Keywords:
    Generative AI, Legal System, Impact, Efficiency, AI News, Perplexity AI, Ultra Accelerator Link, NVIDIA, Apple, OpenAI, Siri, GPT Technology, Evyatar Ben Artzi, Darrow, Justice Intelligence Platform, Case Analysis, Herbicides, Pesticides, Cancer Rates, Large Language Models, ChatGPT, Right to be Remembered, Internet Deletion Practices, Fortune 500 Companies, Legal Industry, Billable Hours, Strategic Thinking, Legal Development, Mental Health, Multiverse in Law.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

    EP 283: WWT's Jim Kavanaugh GenAI Roadmap for Business Success

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    Businesses are working out how to use GenAI in the best way. One company that's acing it? World Wide Technology. WWT's CEO, Jim Kavanaugh, is sharing their plan for implementing GenAI into business smoothly.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Jim questions on GenAI

    Related Episodes:
    Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 146: IBM Leader Talks Infusing GenAI in Enterprise Workflows for Big Wins

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Impact of Generative AI
    2. Role of GenAI in World Wide Technology
    3. AI Adoption for Business Leaders
    4. Large Language Models and AI Impact
    5. Challenges in the Generative AI Space
    6. Organization Culture and AI Implementation

    Timestamps:
    01:30 About WWT and Jim Kavanaugh
    06:59 Connecting with users for effective AI.
    10:06 Advantage of working with NVIDIA for digital transformation.
    13:10 Discussing techniques and client example.
    18:35 CEOs implementing AI, seeking solutions.
    20:46 Creating awareness, training, and leveraging technology efficiently.
    25:27 AI increasingly important, impacts all industries' outcomes.
    27:18 Use secure, personalized language models for efficiency.
    32:32 Streamlining data access for engineers and sales.
    35:42 CEOs need to prioritize technology and innovation.
    37:02 NVIDIA is the game-changing leader.

    Keywords:
    generative AI, challenges of AI implementation, Jim Kavanaugh, CEO, Worldwide Technology, digital transformation, value-added reseller, professional services, comprehensive solution, AI strategies, NVIDIA, OpenAI's ChatGPT, large language models, GenAI, Advanced Technology Center, data aggregation, real-time data access, intelligent prompts, business leaders, AI technologies, data science, Jensen and NVIDIA, multimodal languages, AI-first organization, financial performance, go-to-market strategies, software development efficiency, RFP process

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    EP 282: AI’s Role in Scam Detection and Prevention

    EP 282: AI’s Role in Scam Detection and Prevention

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    If you think you know scammers, just wait.
     
    ↳ Voice cloning will fool the best of us.
    ↳ Deepfakes are getting sophisticated.
    ↳ Once-scammy emails now sound real.
     
    How can AI help? In a lot of ways. Yuri Dvoinos, Chief Innovation Officer at Aura, joins us to discuss AI's role in scam detection and prevention.
     
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    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Yuri questions on AI and scam detection

    Related Episodes: Ep 182: AI Efficiencies in Cyber – A Double-Edged Sword
    Ep 202: The Holy Grail of AI Mass Adoption – Governance

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
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    Topics Covered in This Episode:
    1. Sophistication of AI in Scams
    2. Countermeasures to Combat AI Scams
    3. Deepfakes and Their Increasing Prevalence

    Timestamps:
    01:20 Daily AI news
    04:45 About Yuri and Aura
    07:32 Growing impact of impersonation and trust hacking.
    12:35 Consumer app with state-of-the-art protection.
    13:48 New technology scans emails to protect users.
    19:36 Need for awareness of sophisticated multi-platform scams.
    20:33 Be cautious of potential multichannel scams
    26:44 Scams are getting sophisticated, AI may worsen.
    30:05 Different organizations need varying levels of security.
    31:25 Deepfakes raise concerns about truth and trust.
    34:47 It's hard to detect scam communication online.

    Keywords:
    AI Scams, Jordan Wilson, Yuri Dvoinos, Deepfakes, AI Technology, Verification System, Online Interactions, Cyberattacks, Business Security, Scam Detection, Communication Channel Verification, Language Models, AI impersonation, Small Business Scams, Scammer Automation, Aura, Message Protection Technology, Call Analysis, Email Scanning, Voice Synthesizer Technology, Multichannel Scams, 2FA, Cybersecurity Training, Digital Trust, Cybersecurity, Sophisticated Corporate Scams, OpenAI, NVIDIA, Aura Cybersecurity Company, Online Safety.

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    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

    EP 281: Elon Musk says AI will make jobs 'optional' – Crazy or correct?

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    Will AI make jobs... optional? Elon Musk seems to think so. His comments struck a chord with some. And rightfully so. As polarizing as Elon Musk can be, does he have a point? Let's break it down.
     
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    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI and jobs

    Related Episodes: Ep 258: Will AI Take Our Jobs? Our answer might surprise you.
    Ep 222: The Dispersion of AI Jobs Across the U.S. – Why it matters

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Elon Musk's statement and its implications
    2. Future of work with AI advancements
    3. AI's impact on human purpose and employment
    4. Job displacement and AI investment over human employment

    Timestamps:
    01:40 Daily AI news
    07:47 Exploring the implications of generative AI.
    10:45 Concerns about AI impact on future jobs
    13:20 Elon Musk's track record: genius or random?
    17:57 Twitter's value drops 72% to $12.5B.
    22:34 Elon Musk predicts 80% chance of job automation.
    25:54 AI advancements may require universal basic income.
    29:03 AI systems rapidly advancing, surpassing previous capabilities.
    32:11 Bill Gates worries about AGI's misuse.
    35:04 AI advancements foreshadowing future efficiency and capabilities.
    39:42 Ultra-wealthy and disconnected elite shaping AI future.
    43:32 AI will dominate future work, requiring adaptation.
    46:19 US government may not understand future of work.

    Keywords:
    Elon Musk, AI, XAI, funding, chatbot, Grok, OpenAI, legal battle, Apple, Siri, integration, core apps, model, capabilities, safety, speculation, future, work, Tesla, market cap, value, investor sentiment, vision, promises, performance, Viva Tech, conference, robots, job market, society, purpose.

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    EP 280: GenAI for Business - A 5-Step Beginner's Guide

    EP 280: GenAI for Business - A 5-Step Beginner's Guide

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    Everyone is trying to wrap their heads around how to get GenAI into their business. We've had chats with over 120 experts and leaders from around the globe, including big companies, startups, and entrepreneurs. We're here to give you the lowdown on how you can start using GenAI in your business today.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan questions on AI

    Related Episodes:Ep 189: The One Biggest ROI of GenAI
    Ep 238: WWT’s Jim Kavanaugh Gives GenAI Blueprint for Businesses

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. AI in Business
    2. Implementing AI
    3. AI Guidelines and Guardrails
    4. Practical Application of AI

    Timestamps:
    02:00 Daily AI news
    06:20 Experienced in growing companies of all sizes
    11:45 AI not fully implemented yet
    19:13 Generative AI changing workforce dynamics, impact discussion.
    21:32 Rapidly adapt to online business, seek guidance.
    31:19 AI guardrails and guidelines
    34:25 Companies overcomplicating generative AI, driven by peer pressure.
    37:45 Focus on measurable impact in AI projects.
    45:17 Leverage vendors and experts for AI education.
    51:48 AI may replace jobs - plan for future.
    54:48 Ethical AI implementation involves human and AI cooperation.
    01:00:42 Culmination of extensive work to simplify generative AI.

    Keywords:
    AI training, Employee education, Generative AI tools, Communication skills, Job displacement, AI implementation, Business ethics, AI in business, Guidelines for AI, Data Privacy, AI statistics, Transparency in AI, Bottom-up approach,  AI impact on work, Everyday AI Show

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

    EP 279: Google’s New AI Updates from I/O: the good, the bad, and the WTF

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    Did Google say 'AI' too many times at their I/O conference? But real talk – it's hard to make sense of all of Google's announcements. With so many new products, updated functionality, and new LLM capabilities, how can you make sense of it all?  Oh.... that's what we're for.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Google AI

    Related Episode:  Ep 204: Google Gemini Advanced – 7 things you need to know

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Google's Updates and Announcements
    2. Google AI Evaluations
    3. Concerns Over Google's AI Development and Marketing

    Timestamps:
    01:30 Daily AI news
    05:30 What was announced at Google's I/O
    09:31 Microsoft and Google introduce AI for teams.
    12:38 AI features not available for paid accounts.
    16:12 Doubt Google's claims about their Gemini model.
    19:26 Speaker live-drew with Pixel phone, discussed code.
    22:24 Exciting city scene, impressive Vio and Astra.
    24:44 Gems and GPTs changing interactions with language models.
    29:26 Accessing advanced features requires technical know-how.
    33:45 Concerns about availability and timing of Google's features.
    36:14 Google CEO makes joke about overusing buzzwords.
    41:06 Google Gems: A needed improvement for Google Gemini.
    41:50 GPT 4 ranks 4th behind Windows Copilot.

    Keywords:
    Google IO conference, AI updates, NVIDIA revenue growth, Meta acquisition, Adapt AI startup, OpenAI deal, News Corp, Project Astra, Gemini AI agent, Gemini 1.5 pro, Ask photos powered by Gemini, Gemini Nano, Android 15, GEMS, Google AI teammate, Microsoft team copilot, Google Workspace, Google search, Veo, Imagine 3, Lyria, Google's AI music generator, Wyclef Jean, Large language models, GPT 4.0, Google Gemini, AI marketing tactics, Deceptive marketing, Discoverability issues, Branding issues.

    Get more out of ChatGPT by learning our PPP method in this live, interactive and free training! Sign up now: https://youreverydayai.com/ppp-registration/

    EP 278: Microsoft Build AI Recap - 5 things you need to know

    EP 278: Microsoft Build AI Recap - 5 things you need to know

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    To end a week-ish full of AI happenings, Microsoft has thrown all kinds of monkey wrenches into the GenAI race. What did they announce at their Microsoft Build conference? And how might it impact you? Our last takeaway may surprise you.

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on Microsoft AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Microsoft Build Conference Key AI Features
    2. Microsoft Copilot Updates
    3. On-device AI and its future

    Timestamps:
    01:50 Startup Humane seeks sale amid product criticism.
    09:00 Using Copilot increases latency and potential errors.
    11:15 Copilot changing work with edge AI technology.
    13:51 Cloud may be more secure than personal devices.
    19:26 Recall technology may change required worker skills.
    20:24 Semantic search understands context, improving productivity.
    28:41 Impressive integration of GPT-4 in Copilot demo.
    31:41 New Copilot technology changes how we work.
    36:13 Customize and deploy AI agent to automate tasks.
    38:08 Uncertainty ahead for enterprise companies, especially Apple.
    46:09 Recap of 5 key announcements from build conference.

    Keywords:
    Microsoft CEO, Satya Nadella, Copilot stack, personal Copilot, team's Copilot, Copilot agents, Copilot Studio, Apple ecosystem, enterprise companies, Microsoft Teams, OpenAI, Jordan Wilson, Microsoft Build Conference, edge AI, Copilot Plus PC, recall feature, gpt4o capabilities, iPhone users, AI technology, data privacy and security, GPT 4 o desktop app, AI systems, recall, mainstream AI agents, Humane AI, Scarlett Johansson, ChatGPT, Anthropic Claude, COPilot Studio Agent, Microsoft product.

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    EP 277: How Nonprofits Can Benefit From Responsible AI

    EP 277: How Nonprofits Can Benefit From Responsible AI

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    Generative AI offers significant benefits to nonprofits. What obstacles do they encounter, and how can they utilize this innovative technology while safeguarding donor information and upholding trust with stakeholders? Nathan Chappell, Chief AI Officer at DonorSearch AI, joins us to explore the responsible use of AI in the nonprofit sector.

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    More on this Episode: Episode page
    Join the discussion: Ask Jordan and Nathan questions on AI and nonprofits

    Related Episodes:
    Ep 105: AI in Fundraising – Building Trust with Stakeholders
    Ep 148: Safer AI – Why we all need ethical AI tools we can trust

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Timestamps:
    01:50 About Nathan and DonorSearch AI
    05:52 Decreased charity giving, AI aids nonprofit efficiency.
    09:39 AI enhances nonprofit efficiency, prioritizes human connections.
    13:35 Nonprofits need to embrace AI for advancement.
    16:22 Use AI to create engagement stories, scalable.
    18:59 Internet equalized access to computing power.
    25:02 Nonprofits rely on trust, need responsible AI.
    29:52 Ensuring trust and accountability in generative AI.
    33:35 AI is about people leveling up work.
    34:16 Daily exposure to new tech terms essential.

    Topics Covered in This Episode:
    1. Impact of Generative AI for Nonprofits
    2. Digital Divide in Nonprofit Sector
    3. Role of Trust in Nonprofits and responsible AI usage
    4. Traditional Fundraising vs. generative AI
    5. Future of AI in Nonprofits

    Keywords:
    Nonprofits, generative AI, ethical use of AI, Jordan Wilson, Nathan Chappell, DonorSearch AI, algorithm, gratitude, machine learning, digital divide, AI employment impact, inequality, LinkedIn growth, Taplio, trust, Fundraising AI, responsible AI, AI explainability, AI accountability, AI transparency, future of nonprofits, AI adaptation, predictive AI, personalization, data for donors, generosity indicator, precision and personalization, AI efficiency, human-to-human interaction, AI tools.

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    EP 276: AI News That Matters - May 20th, 2024

    EP 276: AI News That Matters - May 20th, 2024

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    OpenAI and Reddit’s data partnership, will Google’s AI plays help them catch ChatGPT, and what’s next for Microsoft?  Here's this week's AI News That Matters!

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    More on this Episode: Episode Page
    Join the discussion: Ask Jordan questions on AI

    Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Key Partnerships and Deals in AI
    2. Google's New AI Developments
    3. Microsoft's Upcoming Developer Conference
    4. Apple's Future AI Implementation

    Timestamps:
    02:00 Reddit partners with OpenAI for AI training, content.
    04:28 Large companies lack transparency in model training.
    06:58 Reddit becoming preferred search over Google, value in partnerships.
    12:08 OpenAI announced GPT 4 o and new feature.
    14:48 Google announced live smart assistance, leveraging AI.
    18:19 Customize data/files, tap into APIs, virtual teammate.
    21:06 Impressed by Google's new products and features.
    26:33 Apple to use OpenAI for generative AI.
    29:08 Speculation around AI safety, resignation raises questions.
    32:22 Concerns about OpenAI employees leaving is significant.
    34:20 Google and Microsoft announce AI developments, drama at OpenAI.

    Keywords:
    Jan Leakey, smarter than human machines, Reddit, OpenAI, data deal, model training, Google, AI project Astra, Microsoft's Build developer conference, AI developments, Apple partnership, safety concerns, everydayai.com, Ask Photos, Gemini Nano, Android 15, AI powered search, Gemini AI assistant, Google AI teammate, Microsoft developer conference, Copilot AI, AI PCs, Intel, Qualcomm, AMD, Seattle, Jordan Wilson, personal data, Reddit partnership, Google IO conference.

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    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    EP 275: Be prepared to ChatGPT your competition before they ChatGPT you

    Send Everyday AI and Jordan a text message

    If you're not gonna use AI, your competition is. And they might crush you. Or, they might ChatGPT you. Barak Turovsky, VP of AI at Cisco, gives us the best ways to think about Generative AI and how to implement it. 

    Newsletter: Sign up for our free daily newsletter
    More on this Episode: Episode Page
    Join the discussion: Ask Jordan and Barak questions on ChatGPT

    Related Episodes: Ep 197: 5 Simple Steps to Start Using GenAI at Your Business Today
    Ep 246: No that’s not how ChatGPT works. A guide on who to trust around LLMs

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    Website: YourEverydayAI.com
    Email The Show: info@youreverydayai.com
    Connect with Jordan on LinkedIn

    Topics Covered in This Episode:
    1. Large Language Models (LLMs) and Business Competitiveness
    2. Understanding LLMs for Small to Medium-Sized Businesses
    3. Use Cases and Misconceptions of AI
    4. Data Security and Privacy

    Timestamps:
    01:35 About Barak and Cisco
    05:44 AI innovation concentrated in big tech companies.
    07:14 Large language models can revolutionize customer interactions.
    12:01 ChatGPT fluency doesn't guarantee accurate information.
    13:41 Considering use cases over two dimensions
    18:16 OLM is good fit for specific industries.
    21:17 Emphasizing the importance of large language models.
    23:20 Maintaining control over unique AI model elements.
    28:50 Questioning the data use in large models.
    31:27 Barak discusses leveraging AI for various use cases.
    33:50 Industry leader shared great insights on AI.

    Keywords:
    AI, Large Language Models, Jordan Wilson, Barak Turovsky, Cisco, Google Translate, Transformer Technology, Generative AI, Democratization of Access, Customer Satisfaction, Business Productivity, Business Disruption, Internet Search, Sales Decks, Scalable Businesses, Fluency-Accuracy Misconception, AI Use Cases, Data Privacy, Data Security, Model Distillation, Domain-Specific AI Models, Small AI Models, Gargantuan AI Models, Data Leverage, AI for Enterprises, Data Selling, Entertainment Use Case, Business Growth, Professional Upskilling, AI Newsletter.

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