Build a question-answering tool based on financial data with LangChain & Deep Lake’s unified & streamable data store. Prototype with LangChain rapidly with no need to recompute embeddings. Train LLMs faster & cheaper with LangChain & Deep Lake.
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Vercel is the platform for frontend developers, providing the speed and reliability innovators need to create at the moment of inspiration.
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LangChain
Modal lets you run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without your own infrastructure.
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Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 language model. This program, driven by GPT-4, chains together LLM “thoughts”, to autonomously achieve whatever goal you set. As one of the first examples of GPT-4 running fully autonomously, Auto-GPT pushes the boundaries of what is possible with AI.
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The widespread public deployment of large language models (LLMs) in recent months has prompted a wave of new attention and engagement from advocates, policymakers, and scholars from many fields. This attention is a timely response to the many urgent questions that this technology raises, but it can sometimes miss important considerations. This paper surveys the evidence for eight potentially surprising such points
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For complicated data extraction you need a robust library. The Kor Library (created by Eugene Yurtsev) is an awesome tool just for this. We are going to explore using Kor with a practical use case.
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In this research, we propose a novel task-driven autonomous agent that leverages OpenAI’s GPT-4 language model, Pinecone vector search, and the LangChain framework to perform a wide range of tasks across diverse domains.
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