Clara sits down with the founder/CEOs of three of the hottest AI companies-- Aravind Srinivas (Perplexity AI), Jerry Liu (LlamaIndex), and Harrison Chase (LangChain) to discuss the tooling, data prep, and agility needed to operate and add customer value in the rapidly evolving LLM space.
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Chapters:
0:00 Introduction
0:50 Perplexity AI overview with Aravind Srinivas
4:23 LangChain overview with Harrison Chase
6:23 LIamaIndex overview with Jerry Liu
7:55 When do you use Retrieval-Augmented Generation (RAG) versus fine-tuning?
9:22 Aravind's background in artificial intelligence (AI)
11:40 How do you manage ever-changing models with your tools?
13:40 Value of open source projects
14:44 Will any of you build your models in the future?
16:45 Advantages of post-training models
18:18 Disadvantages of post-training
19:49 How Perplexity AI tracks evals
20:30 Thoughts on few-shot prompting
23:10 What trends are you seeing with developers?
26:07 Techniques for using RAG workflows
28:00 Where should developers start with RAG pipelines?
33:00 Do developers use AI copilots?
36:55 How do we educate everyone on AI?
39:22 What are your predictions for AI in the next year?
44:27 How do we educate the next generation to succeed in an AI era?
49:22 Three takeaways from Clara Shih
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20 июл 2024
