Machine Learning Made Simple

Ep37: Mastering AI: The Secrets of Prompt Engineering Unveiled – Part II

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Dive into the latest episode as we delve into the transformative world of advanced prompt engineering techniques. Explore the dynamic functionalities of Retrieval-Augmented Generation (RAG) in the AI pipeline, providing a fresh perspective on integrating vast databases for real-time information retrieval and response generation. We'll also discuss the pioneering methods like Toolformer and ART: Automatic multi-step reasoning and tool-use for large language models, which are setting new standards in how AI performs complex tasks and reasoning.

Main Topics:

  • Retrieval-Augmented Generation (RAG): An in-depth look at how RAG is revolutionizing AI's ability to access and utilize information from large datasets to enhance decision-making and interactions.

  • Toolformer: Explore this cutting-edge approach in enhancing AI’s capabilities to use external tools autonomously for solving complex problems.

  • ART Methods: Discover how ART methods empower large language models to perform multi-step reasoning and interact with various tools, pushing the boundaries of what AI can achieve.

    • Tune in to understand how these advanced techniques are shaping the future of technology!

    Tags: #AI #MachineLearning #TechInnovation #PromptEngineering #AdvancedAI


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    2. Codestral Mamba | Mistral AI | Frontier AI in your hands

    3. [2312.00752] Mamba: Linear-Time Sequence Modeling with Selective State Spaces

    4. https://podcasters.spotify.com/pod/show/saugatach/episodes/Ep-22-How-small-LLMs-are-outperforming-GPT3-using-a-Mixture-of-Experts-e2i5h3h

    5. GitHub - exo-explore/exo: Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

      6. References for main topic:

      1. [2210.03493] Automatic Chain of Thought Prompting in Large Language Models

      2. [2302.04761] Toolformer: Language Models Can Teach Themselves to Use Tools

      3. [2303.09014] ART: Automatic multi-step reasoning and tool-use for large language models

      4. GitHub - bhargaviparanjape/language-programmes




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        Machine Learning Made SimpleBy Saugata Chatterjee