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 – Twitter, GitHub, LinkedIn, Website
• Chris Benson – Twitter, GitHub, LinkedIn, Website
• Daniel Whitenack – Twitter, GitHub, Website

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

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Timestamps:

(00:00) - Welcome to Practical AI(00:43) - Rajiv Shah(01:55) - AI on TikTok?(03:31) - Community engagement on TikTok(04:49) - Ever-growing mind-blowing moments(06:24) - Reaching different audiences(07:57) - What is in-context-learning?(10:52) - Prompt engineering with better models(13:01) - Growing productive users(14:52) - The landscape of large language models(18:16) - Sorting through this delightful mess(19:46) - Hugging Face highlights(23:06) - Practical fine-tuning(26:00) - What are we talking about?(28:29) - Where does AI fit into education?(30:20) - A different kind of consumer(31:54) - Talking to the average Joe about AI(34:02) - What do you see through the looking glass?(36:06) - Great Hugging Face resources(37:08) - Outro