Completed
- Discussing embedding models and the use of vector databases.
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Classroom Contents
Revolutionizing AI Data Management with LlamaIndex - Gradient Dissent Podcast
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- 1 - Introduction
- 2 - What is LlamaIndex?
- 3 - Differentiating LlamaIndex in the AI framework ecosystem.
- 4 - Discussing data analysis, search, and retrieval applications.
- 5 - Exploring Retrieval Augmented Generation RAG and vector databases.
- 6 - Implementing and optimizing One Bot in Discord.
- 7 - Developing and evaluating datasets for AI systems.
- 8 - Community contributions and the growth of LlamaIndex.
- 9 - Discussing embedding models and the use of vector databases.
- 10 - Addressing AI model hallucinations and fine-tuning.
- 11 - Text extraction applications and agent-based systems in AI.
- 12 - Community contributions to LlamaIndex and managing refactors.
- 13 - Interactions with big tech's corpus and AI context length.
- 14 - Final thoughts on underrated aspects of ML and challenges in AI.
