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https://www.deeplearning.ai/the-batch/how-agents-can-improve-llm-performance/?ref=charonhub.deeplearning.ai
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Check this video for rapid prototype using LLMs: (263) Andrew Ng Explores The Rise Of AI Agents And Agentic Reasoning | BUILD 2024 Keynote - YouTube “Successful businesses start with the customer's problem and work backwards to the technology.”
Great example: Devin from Cognition ai. The first ai software engineer. https://www.cognition.ai/blog/introducing-devin video: https://www.youtube.com/watch?v=fjHtjT7GO1c&t=5s https://aifund.ai/insights-navigating-trade-offs-in-your-llm-tech-stack/ https://aifund.ai/insights-corporate-ai-transformation-qa-with-andrew-ng-and-roy-bahat/ https://aifund.ai/topic-navigating-ai-transformation-insights-from-venture-studio-and-corporate-partnerships/ https://aifund.ai/insights-navigating-trade-offs-in-your-llm-tech-stack/ https://aifund.ai/emerging-trends-in-llms-for-founders/ https://aifund.ai/ https://aifund.ai/insights/ Concepts: Agentic ai for software development
https://www.deeplearning.ai/the-batch/how-agents-can-improve-llm-performance/ Blogs: https://simonwillison.net/ https://simonwillison.net/2024/Sep/20/using-llms-for-code/ Programming courses: https://www.deeplearning.ai/ Research questions: How to mitigate allucination ? maybe an LLM validating the answer of another LLM Multi agents https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering paper: https://arxiv.org/abs/2401.08500 github: https://github.com/Codium-ai/AlphaCodium langraph implementation: https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb Language Agents tree search paper: Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models https://github.com/lapisrocks/LanguageAgentTreeSearch langraph implementation: https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/lats/lats.ipynb 1. ChatGPT Prompt Engineering for Developer
2. Building Systems with the ChatGPT API 3. LangChain for LLM Application Development 4. LangChain Chat with Your Data 5. Functions, Tools and Agents with LangChain 6. AI Agents in LangGraph |
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