Generative AI and LLMs - From LlamaIndex to Enterprise Applications

Generative AI and LLMs - From LlamaIndex to Enterprise Applications

Data Science Dojo via YouTube Direct link

- Introduction

1 of 20

1 of 20

- Introduction

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Generative AI and LLMs - From LlamaIndex to Enterprise Applications

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  1. 1 - Introduction
  2. 2 - Introduction to LlamaIndex
  3. 3 - LlamaIndex vs. LangChain
  4. 4 - Is LlamaIndex focused or an end-to-end RAG-based solution?
  5. 5 - RAG vs fine-tuning and enterprise adoption
  6. 6 - Will RAG become the paradigm of choice in the future?
  7. 7 - LLMs, large context windows, RAG
  8. 8 - Risks of dumping data into ChatGPT
  9. 9 - Paranoia around banning ChatGPT at enterprises
  10. 10 - Access controls in RAG-based solutions
  11. 11 - Best practices for RAG based solutions: What does the future look like?
  12. 12 - Automation in RAG-based solutions
  13. 13 - Are bigger context windows necessarily better?
  14. 14 - Future of LLMs, ensemble techniques, committee of models
  15. 15 - Entrepreneurship and technical leadership
  16. 16 - Marketing at LlamaIndex
  17. 17 - Jerry at Princeton, corporate career and pivot to entrepreneurship
  18. 18 - Generative AI's impact on society
  19. 19 - Exciting generative AI applications
  20. 20 - Exciting developments at LlamaIndex

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