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    chatgpt prompt

    Explore "chatgpt prompt" with insightful episodes like "82. So nutzen wir ChatGPT & Co. im SEO - Teil 1" and "How vector search and semantic ranking improve your AI prompts" from podcasts like ""Search Effect – der SEO Podcast" and "Microsoft Mechanics Podcast"" and more!

    Episodes (2)

    82. So nutzen wir ChatGPT & Co. im SEO - Teil 1

    82. So nutzen wir ChatGPT & Co. im SEO - Teil 1
    In der heutigen Folge wird es wieder einmal richtig praktisch – diesmal in Bezug auf KI im SEO. Wir zeigen dir unsere Prompts und Workflows für ChatGPT, Bing Chat & mehr. Bei uns gibt es nicht die 0815-SEO-Prompts für X Keyword-Ideen oder Blog-Titel. Wir steigen mit dir etwas tiefer ein und beschäftigen uns mit Prompts zur Content-Optimierung, High-End Brainstorming für spezielle Nischen und wichtigen Wettbewerbsanalysen. Du lernst, wie du ChatGPT & Co. richtig und sinnvoll für bessere Rankings und mehr Erfolg auf Google nutzt. Viel Spaß!

    How vector search and semantic ranking improve your AI prompts

    How vector search and semantic ranking improve your AI prompts

    Improve the information retrieval process, so you have the most optimal set of grounding data needed to generate useful AI responses. See how Azure Cognitive Search combines different search strategies out of the box and at scale - so you don’t have to.

    Keyword search—match the exact words to search your grounding data

    Vector search—focuses on conceptual similarity, where the app is using part of the dialogue to retrieve grounding information

    Hybrid approach—combines both keyword and vector searches

    Semantic ranking—to boost precision, a re-ranking step can re-score the top results using a larger deep learning ranking model

    Pablo Castro, Azure AI Distinguished Engineer, shows how to improve the quality of generative AI responses using Azure Cognitive Search.

     

    ► QUICK LINKS:
    00:00 - How to generate high-quality AI responses
    01:06 - Improve quality of generative AI outputs
    02:56 - Why use vectors?
    04:57 - Vector Database
    06:56 - Apply to real data and text
    08:00 - Vectors using images
    09:40 - Keyword search
    11:22 - Hybrid retrieval
    12:18 - Re-ranking
    14:18 - Wrap up

     

    ► Link References
    Sample code available at https://aka.ms/MechanicsVectors
    Complete Copilot sample app at https://aka.ms/EntGPTSearch
    Evaluation details for relevance quality at https://aka.ms/ragrelevance

     

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