Changelog Master Feed

Capabilities of LLMs 🤯 (Practical AI #219)


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Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.

Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.

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  • Featuring:

    • Rajiv Shah – Website, GitHub, LinkedIn, X
    • Chris Benson – Website, GitHub, LinkedIn, X
    • Daniel Whitenack – Website, GitHub, X

    Show Notes:

    • Solving AI Tasks with ChatGPT and its Friends in HuggingFace | GitHub
    • Generative Agents: Interactive Simulacra of Human Behavior
    • Wolfram ChatGPT
    • Comparing LLMs
    • LangChain
    • Learn about LLMs:
      • Emergence and reasoning in large language models (Jason Wei)
      • Sparks of Artificial General Intelligence
      • Learning Prompting
      • Getting Started with Transformers:
        • Transformers course (free)
        • Tasks at Hugging Face
        • Training your own LLM Models:
          • Efficient Large Language Model training with LoRA and Hugging Face
          • PEFT (Parameter-Efficient Fine-Tuning)
          • Dolly blog post
          • Illustrating Reinforcement Learning from Human Feedback
          • Something missing or broken? PRs welcome!

            ...more
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