Geoffrey Hinton AI Insights
Geoffrey Hinton shares insights on his career, collaborations, and the future of AI, emphasizing intuition, ethical implications, and the potential of large language models.
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Llms
Chat with Knowledge Graph using LLMs
Geraldus Wilsen’s tutorial explains integrating knowledge graphs with LLMs using Python, Neo4J, Langchain, and Gemini. Enhance your model’s performance with these techniques.
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Limits of Current LLMs
Edan Meyer discusses the limitations of current LLMs, emphasizing the need for continual learning to solve complex, cutting-edge problems beyond in-context learning and RAG.
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