Large language models like ChatGPT are changing the game, and in this episode, we’re unpacking how they’re shaking up industries and everyday tasks. From predicting your next word to transforming how we search for information, these models are much more than just the next Google. We dive into how tools like ChatGPT, Claude, and Perplexity are becoming essential in our daily lives, plus the energy side of things, think GPUs and the power needed to train these models. John Kalfayan, who’s been knee-deep in AI for years, breaks it all down with a mix of humor and insights, answering questions like how AI handles biases and what the future holds for this fast-evolving tech.

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00:00 - Intro
01:19 - What are LLMs (Large Language Models)
04:06 - Difference Between LLMs and Google
08:41 - Connection Between AI and Energy
12:45 - Creating an Industry from Scratch
17:47 - OpenAI's Separate Entities: ChatGPT vs DALL-E
22:50 - RAG Models Explained
26:25 - Understanding Fine-tuned Models
28:45 - Exploring Niche GPTs
32:54 - Fun Trivia about AI
34:56 - AI Hallucinations Explained
38:46 - Zero-shot Learning in AI
40:37 - Understanding Parameters in Models
41:46 - AI in Jeopardy: A Discussion
43:28 - Reading Time for GPT-3
45:48 - Would You Rather: GPT-3 or Codex
48:35 - Would You Rather: AI Choices
50:45 - Last Thoughts on AI
52:40 - Wrapping Up the Podcast

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