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Use Langchain with a Local LLM
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This comprehensive video tutorial illustrates how to effectively utilize Langhain with a local large language model (LLM) - a worthy alternative to commercial chatbots like ChatGPT, providing unique benefits and flexibility. We explore various open-source, locally-hosted language models that offer unrestrictive, customized language interactions. For a deeper understanding of LLMs, we point to valuable resources such as the 'local Lemma' subreddit.
With Langchain, a versatile framework for applications powered by models like GPT, we walk through the entire installation process on an Apple Silicon Mac M2. By following along, viewers will learn how to clone and set up the necessary GitHub repos, install requisite packages via pip, and even choose between CPU-based and GPU-based inference depending on their specific needs.
If you're interested in running models like ChatGPT locally, this tutorial offers an in-depth guide to setting up and testing a local LLM using LangChain. With the goal of making LLMs and AI more accessible, this tutorial provides all the necessary insights and resources to help viewers navigate the fascinating world of local LLMs.
Keywords: Local Large Language Model, Lang Chain, ChatGPT Alternatives, AI Development, Python, Machine Learning, Open-source AI, Tutorial, CPU-based Inference, GPU-based Inference.
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#localllm #localAI
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