Open-source AI and Large Language Models are getting better and better. If we can replace ChatGPT or Bard with them we would gain a great deal of privacy and use these models in cases we previously couldn't before (like when dealing with sensitive or proprietary data).
In this video, we'll learn 6 ways to run various open-source large language models locally.
🔗 Useful links:
I tried 7 ChatGPT alternatives: • I Tried 7 ChatGPT Alternatives for De...
How to train a model using CI/CD: • CI/CD Essentials for MLOps - Part 1: ...
Blog post with examples: https://semaphoreci.com/blog/local-llm
HuggingFace: https://huggingface.co
LangChain: https://www.langchain.com
Llama.cpp: https://github.com/ggerganov/llama.cpp
Llamafile: https://github.com/Mozilla-Ocho/llama...
Ollama: https://ollama.ai
GPT4ALL: https://gpt4all.io/index.html
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Timestamps:
0:00 Intro
0:54 Hardware requirements
2:04 (1) How to use HuggingFace 🤗 and Transformers 🤖
8:35 (2) LangChain
11:58 (3) Llama.cpp
17:21 (4) Llamafile
20:39 (5) Ollama.ai
23:43 (6) GPT4ALL
27:10 Conclusion
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#llm #ai #localllm #llama2 #openai #chatgpt #nlp #machinelearning #ml #development #programming #devops #tutorial
