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Jerry Liu is the co-founder and creator of LlamaIndex (formerly known as GPT-Index), an interface that allows users to connect their data to LLM’s such as Chat-GPT. He has a B.S. in Computer Science from Princeton and has worked at companies such as Quora, Uber, and Robust Intelligence prior to starting LlamaIndex.
Host: David Wu
Twitter: @davidjhwu
Audio Producer: Aaron Schumacher
LinkedIn: Aaron Schumacher
Video Editor + Art: Saurin Kantesaria
Instagram: saorange314
Social Media: Nikhil Kapur
Time Stamps:
01:25 The path to starting LlamaIndex + initial ideas
07:09 LLMs like Chat-GPT vs traditional machine learning
10:00 4 steps of traditional machine learning
10:45 How do large LLMs change the game?
14:11 How does LlamaIndex help LLMs work with unstructured data?
18:08 How do you work with gigabytes of private data?
19:57 Organizing words and paragraphs by topic with embeddings
24:55 The importance of structuring data
26:00 3 key abstractions in LlamaIndex
29:25 Medical use cases for LlamaIndex
31:29 Increasing efficiency in medicine
33:25 An AI medical Research Assistant (Insight)
34:31 Other methods of connecting LLMs to data
36:55 What is langchain?
39:56 What work in the AI and LLM space excites you the most?
42:23 Do you ever feel scared about the developments of AI?
43:45 Llamas and Machine Learning
45:36 What do you think the future of AI in medicine will look like in 10-20 years?
47:24 What advice would you give to grad students, med students, and other early career professionals getting into AI and medicine?
5
2626 ratings
Jerry Liu is the co-founder and creator of LlamaIndex (formerly known as GPT-Index), an interface that allows users to connect their data to LLM’s such as Chat-GPT. He has a B.S. in Computer Science from Princeton and has worked at companies such as Quora, Uber, and Robust Intelligence prior to starting LlamaIndex.
Host: David Wu
Twitter: @davidjhwu
Audio Producer: Aaron Schumacher
LinkedIn: Aaron Schumacher
Video Editor + Art: Saurin Kantesaria
Instagram: saorange314
Social Media: Nikhil Kapur
Time Stamps:
01:25 The path to starting LlamaIndex + initial ideas
07:09 LLMs like Chat-GPT vs traditional machine learning
10:00 4 steps of traditional machine learning
10:45 How do large LLMs change the game?
14:11 How does LlamaIndex help LLMs work with unstructured data?
18:08 How do you work with gigabytes of private data?
19:57 Organizing words and paragraphs by topic with embeddings
24:55 The importance of structuring data
26:00 3 key abstractions in LlamaIndex
29:25 Medical use cases for LlamaIndex
31:29 Increasing efficiency in medicine
33:25 An AI medical Research Assistant (Insight)
34:31 Other methods of connecting LLMs to data
36:55 What is langchain?
39:56 What work in the AI and LLM space excites you the most?
42:23 Do you ever feel scared about the developments of AI?
43:45 Llamas and Machine Learning
45:36 What do you think the future of AI in medicine will look like in 10-20 years?
47:24 What advice would you give to grad students, med students, and other early career professionals getting into AI and medicine?
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