Explore "ai applications" with insightful episodes like "The business cycle is getting less cyclical", "EP 249: The next AI trend: Small language models?", "What AI Developers Are Building Next, with Swyx and Alessio of Latent Space", "The case for AI optimism" and "EP 111: How AI is (and Will Be) Used in Healthcare" from podcasts like ""Marketplace", "Everyday AI Podcast – An AI and ChatGPT Podcast", "The AI Breakdown: Daily Artificial Intelligence News and Discussions", "No Priors: Artificial Intelligence | Machine Learning | Technology | Startups" and "Everyday AI Podcast – An AI and ChatGPT Podcast"" and more!
Expand, slow down, contract and recover. Businesses tend to make decisions based on what stage of the business cycle the economy’s in. The problem is, that doesn’t work so well anymore. We’ll get into it. Also: The hot U.S. dollar causes trouble overseas, college grad unemployment is up, and what other food programs can learn from WIC.
Bigger isn't always better. Today, we're giving you 14 essential facts about Small Language Models. You'll not only learn the difference between large and small language models, but you'll be able to slice through the jargon and be the language model expert in the room.
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Related Episodes:
Ep 204: Google Gemini Advanced – 7 things you need to know
Ep 223: Anthropic Claude 3 – Better Than ChatGPT and Google Gemini?
Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
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Timestamps:
02:40 Exploring small language models vs large models.
03:42 Definition of small language models is changing.
08:49 Small language models are for specific purposes.
11:55 Small language models are faster and local.
14:45 Tim Cook announces new language model for devices.
21:25 2024 shift to smaller, focused language models.
27:56 RAG: Combining data, small language models' future.
28:52 Concern for large language models, potential for small models.
Topics Covered in This Episode:
1. Introduction to Language Models
2. Advantages and Usage of Small Language Models
3. Comparison of Small and Large Language Models
4. Future of Small Language Models
Keywords:
Large language models, Small language models, GPT-4, Gemini Ultra, PHY2, Llama, Parameters, Language translation, coding, Generating AI, GPT-5, MMLU, Speed, Efficiency, Fine-tuning, Maintenance, Copy-paste prompts, Chatbots, Search engines, Voice assistants, Hugging Face, Cloud-based services, Downloading models, Gemini Nano, NVIDIA's chat with RTX, RAG, Security, Privacy, Retrieval Augmented Generation
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What will the future of healthcare look like with AI? In what ways has the medical industry already started to develop use cases for AI? Harvey Castro, Personal Performance Coach and CCOO at ViTel Health, joins us to share insights into the AI developments being made both for healthcare professionals and front-facing customers like the everyday person.
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More on this Episode: Episode Page
Join the discussion: Ask Harvey and Jordan questions about AI in Healthcare
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:
[00:01:30] Daily AI news
[00:04:00] About Dr. Harvey and healthcare involvement
[00:08:20] How AI is being used now in healthcare
[00:10:05] Future of AI in healthcare
[00:15:30] Hot take on how AI can be used in healthcare
[00:22:40] Challenge of balancing AI and healthcare data security
[00:25:05] Tech giants may acquire health companies for healthcare
[00:27:40] Dr Harvey's work with AI
[00:30:32] Using LLMs in healthcare
[00:34:38] Personalized health data
[00:39:17] How AI can help in limited resource spaces
Topics Covered in This Episode:
1. Overview of AI in Healthcare
2. AI in Healthcare Applications
3. Integration of AI in Electronic Medical Records (EMR)
4. Future Directions of AI in Healthcare
5. AI's Impact on Healthcare Perspectives
6. Challenges and Concerns in AI-Enabled Healthcare
Keywords:
Epic, healthcare technology, OpenAI, Google, acquisition, valuation, big tech company, future of healthcare, Mid Journey, coloring book, multimodality technology, phones, glasses, Meta, keynote speech, collaboration, NASA, Mars mission, OCR, optical character recognition, controversy, securing information, Llama models, hospitals, AI tools, administrators, Harvey, engagement, nursing shortage, AI advancements, paralyzed patients.
Our 131th episode with a summary and discussion of last week's big AI news!
Read out our text newsletter and comment on the podcast at https://lastweekin.ai/
Email us your questions and feedback at contact@lastweekin.ai
Timestamps + links:
In this episode of "A Beginner's Guide to AI," we take a spellbinding journey into the intersection of the wizarding world of Harry Potter and artificial intelligence. We start by exploring the concept of AI through magical metaphors: the Sorting Hat as a representation of decision-making AI systems and the Patronus Charm as emotional AI. We then delve into real-world applications of these principles, with the recommendation algorithms of Netflix and Spotify serving as our Sorting Hat and Cogito's emotional AI echoing the Patronus Charm. This immersive experience helps us to better appreciate the magic of AI in our everyday lives and its limitless potential. Whether you're a fan of Harry Potter, a budding AI enthusiast, or a curious mind, this episode promises to enlighten and entertain.
Want more AI Infos for Beginners? 📧 Join our Newsletter! This podcast was generated with the help of artificial intelligence, making the discussion not just about AI, but a product of it. So, join us as we uncover the magic of AI together, and remember, the journey is only just beginning.
Music credit: "Modern Situations by Unicorn Heads".
In this engaging episode of "A Beginner's Guide to AI," we delve into the diverse types of artificial intelligence: Narrow AI, General AI, and Superintelligent AI. From discussing the practical influence of Narrow AI to pondering the theoretical boundaries of General and Superintelligent AI, the episode offers an immersive dive into the depth of AI categories. Real-world examples and intriguing case studies provide tangible insight, making the intricate world of AI accessible and captivating. Plus, we engage listeners with thought-provoking questions and invite hands-on exploration of AI tools. Businesses interested in AI projects will find our professional guidance invaluable.
Want more AI Infos for Beginners? 📧 Join our Newsletter!
Or drop us a line: info@argo.berlin This podcast was generated with the help of artificial intelligence, offering a remarkable testament to the AI technologies we discuss. Tune in and join us on this enlightening journey through the AI landscape.
Music credit: "Modern Situations by Unicorn Heads"
(0:00) We hacked the pod! Jcal is on vaca
(5:34) Meta launches Threads
(17:15) Chat AI interest in decline?
(28:36) Fed meeting minutes, economic data and outlook, and EU risk
(56:07) Florida Senate Bill 1718, jobs, and immigration debate
(1:21:48) Chinese balloon: political farce?
(1:31:47) Gerstner Science Corner: preventative heart health
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HF0, or Hacker Fellowship Zero, is a start-up accelerator that provides 12-week residencies for batches of fellows from 10 different start-ups. Their experience, which culminates in a demonstration day, is supposed to be the most productive three months of the fellows’ lives. Dave Fontenot, one of HF0’s founders, was inspired by the two years he spent living in monasteries in his 20s: While monastery life was materially ascetic, he found that it was luxurious in the freedom it gave residents to focus on the things that really mattered. And this year at the Archbishop’s Mansion in San Francisco, the home of the fellows, almost everyone has been monastically focused on what has become the city’s newest religion: artificial intelligence.
The A.I. gospel had not yet spread in 2021, when Fontenot and his two co-founders, Emily Liu and Evan Stites-Clayton, started the accelerator. Even a year ago, when HF0 hosted a batch of fellows at a hotel in Miami, six out of the eight companies represented were cryptocurrency start-ups. But at the mansion in San Francisco, eight of the 10 companies in HF0’s first batch this year were working on A.I.-based apps.
That generative A.I. has largely supplanted crypto in the eyes of founders and venture capitalists alike is not exactly surprising. When OpenAI released ChatGPT late last year, it set off a new craze at a time when the collapsing crypto and tech markets had left many investors and would-be entrepreneurs adrift, unsure of where to put their capital and time. Suddenly users everywhere were realizing that A.I. could now respond to verbal queries with a startling degree of humanlike fluency. “Large language models have been around for a long time, but their uses were limited,” said Robert Nishihara, a co-founder of Anyscale, a start-up for machine-learning infrastructure. “But there’s a threshold where they become dramatically more useful, and I think now it’s crossed that.”
This story was recorded by Audm. To hear more audio stories from publications like The New York Times, download Audm for iPhone or Android.
Our 123rd episode with a summary and discussion of last week's big AI news!
Read out our text newsletter and comment on the podcast at https://lastweekin.ai/
Email us your questions and feedback at contact@lastweekin.ai
Check out The Gradient here: https://thegradient.pub/
Timestamps:
Our 104th episode with a summary and discussion of last week's big AI news!
Note: there was a delay in editing, so this news is from two weeks ago.
If you are a fan, we'd appreciate your feedback on Apple Podcast, or just via email to contact@lastweekin.ai - feel free to DM us on Twitter too!
Outline:
Our 58th Last Week in AI episode with a summary and discussion of last week's big AI news!
This week:
Rebel AI group raises record cash after machine learning schism
All together now: the most trustworthy covid-19 model is an ensemble
A rogue killer drone 'hunted down' a human target without being instructed to, UN report says
Find this and more in our text version of this news roundup: https://lastweekin.ai/p/118
Music: Deliberate Thought, Inspired by Kevin MacLeod (incompetech.com)
End, begin, all the same. Big change. Sometimes good. Sometimes bad.
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Adam Coates is the Director of Baidu's Silicon Valley AI Lab.
Read the transcript here.
The figure of John C. Lilly as psychedelic dolphin communicator burns in the collective memory as a counterculture avatar, yet his legacy embodies far more than the mythologized and/or vilified figure that most of us know. Join Robert and Christian as they examine the life, career and ideas of Lilly the scientist, Lilly the counterespionage researcher and Lilly the psychonaut. Welcome to the province of the mind.
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