Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!
Data augmentation with LlamaIndex
Large Language Models (LLMs) continue to amaze us with their capabilities. However, the utilization of LLMs in production AI applications requires the integration of private data. Join us as we have a captivating conversation with Jerry Liu from LlamaIndex, where he provides valuable insights into the process of data ingestion, indexing, and query specifically tailored for LLM applications. Delving into the topic, we uncover different query patterns and venture beyond the realm of vector databases.
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Featuring:
- Jerry Liu – Twitter, GitHub
- Chris Benson – Twitter, GitHub, LinkedIn, Website
- Daniel Whitenack – Twitter, GitHub, Website
Show Notes:
Something missing or broken? PRs welcome!
Timestamps:
(00:00) - Welcome to Practical AI
(00:43) - Jerry Liu
(04:28) - LlamaIndex
(08:12) - What do I get?
(11:23) - More power less work
(13:26) - Fitting the pieces together
(16:49) - 3 Levels of integrating
(19:13) - How to think about indexing
(21:44) - Defining embedding
(23:09) - Index vs Vector storage
(25:07) - Alternatives
(30:41) - Query scheme workflow
(35:22) - Evaluating responses
(40:03) - Awesome new stuff
(43:23) - Links and show notes
(44:05) - Outro