Data Skeptic I LLM and You Can Too
11 snips
Dec 23, 2023 The podcast explores the utilization of large language models in daily life and work processes. It discusses the challenges and risks of using them as a service, the concept of retrieval augmented generation, and the use of embeddings and LLMs in text analysis and product development. The podcast also delves into the applications of text embeddings in similarity, search, and classification tasks, while addressing their limitations and potential risks.
Chapters
Transcript
Episode notes
1 2 3 4 5
Introduction
00:00 • 4min
The Challenges and Risks of Using Large Language Models as a Service
03:46 • 3min
Exploring the Concept of Retrieval Augmented Generation and Text Embedding
06:31 • 3min
Using Embeddings and LLMs in Text Analysis and Product Development
09:11 • 3min
Text Embeddings: Similarity, Search, and Classification
11:45 • 12min