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1
- Introduction
2
- Introduction to LlamaIndex
3
- LlamaIndex vs. LangChain
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- Is LlamaIndex focused or an end-to-end RAG-based solution?
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- RAG vs fine-tuning and enterprise adoption
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- Will RAG become the paradigm of choice in the future?
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- LLMs, large context windows, RAG
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- Risks of dumping data into ChatGPT
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- Paranoia around banning ChatGPT at enterprises
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- Access controls in RAG-based solutions
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- Best practices for RAG based solutions: What does the future look like?
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- Automation in RAG-based solutions
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- Are bigger context windows necessarily better?
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- Future of LLMs, ensemble techniques, committee of models
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- Entrepreneurship and technical leadership
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- Marketing at LlamaIndex
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- Jerry at Princeton, corporate career and pivot to entrepreneurship
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- Generative AI's impact on society
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- Exciting generative AI applications
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- Exciting developments at LlamaIndex
Description:
Dive into a comprehensive podcast episode exploring the intersection of generative AI, large language models (LLMs), and entrepreneurship. Learn about LlamaIndex, Retrieval Augmented Generation (RAG), and fine-tuning techniques from Jerry Liu, Co-founder and CEO of LlamaIndex. Discover the benefits, trade-offs, and enterprise adoption of these cutting-edge technologies. Gain valuable insights into entrepreneurship as Jerry shares lessons from his journey through tech giants like Apple and Uber to founding his own company. Explore the potential risks and societal impact of generative AI, and uncover exciting applications and developments in the field. Whether you're an AI enthusiast, entrepreneur, or curious about the future of technology, this in-depth discussion offers a wealth of knowledge on the evolving landscape of AI and its implications for business and society.

Generative AI and LLMs - From LlamaIndex to Enterprise Applications

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#Computer Science #Artificial Intelligence #Generative AI #Business #Entrepreneurship #AI Ethics #Information Security (InfoSec) #Cybersecurity #Data Privacy #Machine Learning #Retrieval Augmented Generation #LlamaIndex
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- Introduction