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🤯🤯 You can now create a chatbot on ANY GitHub repo using the Llama 3.1 405B model with Hugging Face assistants -- FOR FREE! 💰 This is insane! 🚀 Link: clem 🤗 Julien Chaumond

Satvik Paramkusham

1,150 subscribers

162,848 次观看 • 2 年前 •via X (Twitter)

科学技术新闻政治教育

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10 条评论

Satvik Paramkusham 的头像

Satvik Paramkusham2 年前

Follow @satvikps more updates on AI!

Petamber 的头像

Petamber2 年前

@huggingface @ClementDelangue @julien_c Built-in tool calling with Brave Search (web search) and Wolfram Alpha (math calcs)

Satvik Paramkusham 的头像

Satvik Paramkusham2 年前

@huggingface @ClementDelangue @julien_c This is interesting! But how we activate these tools?

Rick Lamers 的头像

Rick Lamers2 年前

Their RAG pipeline probably needs some work since in its current form it's prone to heavy hallucination. I have no nor do I use `click` in the repo. This is Llama 3.1 70B Instruct (405B was overloaded, but they use an FP8 which may or may not make it better than 70B 3.1 at FP16).

🔯 Balanced Acceleration (b/acc) ☮️ 的头像

🔯 Balanced Acceleration (b/acc) ☮️2 年前

@huggingface @ClementDelangue @julien_c Very cool. Kudos @ClementDelangue & @huggingface 🙌 Thx @satvikps for making us aware of this use-case 🙏🏽

Satvik Paramkusham 的头像

Satvik Paramkusham2 年前

@valb00 @huggingface @ClementDelangue @julien_c Thank you :)

willk24 的头像

willk242 年前

@huggingface @ClementDelangue @julien_c Absolutely incredible! 🎉 The ability to create chatbots on any GitHub repo with Llama 3.1 for free is a game changer! Major kudos to @huggingface for making this accessible to everyone. Can't wait to see what innovative solutions come out of this! 🚀👏

Ajay || Building Flozi 的头像

Ajay || Building Flozi2 年前

@huggingface @ClementDelangue @julien_c What's the cost of running this?

Omar Shams 的头像

Omar Shams2 年前

@huggingface @ClementDelangue @julien_c Also check out @mutableai

Thomas Seidel 的头像

Thomas Seidel2 年前

@huggingface @ClementDelangue @julien_c Did some test and seems not to recursively indexing the repo/pages. Would also be to heavy anyways. So its not too useful then...

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You can now try Llama 3.1 405B for free (link below)! This is the largest open-source model out there, and for the first time, an open model is competitive with closed models. This time around, Meta did something new: Llama 3.1 has a license that allows developers to use it to enhance other models. For the first time, you can distill Llama 3.1 405B's capabilities into a smaller, more practical model for your use case. First, here is the link where you can play with Llama 3.1 for free: The model is hosted in Tune Studio, an end-to-end platform for developing applications using Large Language Models. They are sponsoring this post. Take a look at the attached video. It will show you how you can fine-tune a simple model using Llama 3.1 without leaving the platform: 1. You can create an empty dataset 2. Use the playground to generate and record interactions with Llama 3.1 3. Modify the dataset directly using the playground 4. Export the data and fine-tune a smaller model Fast and easy! As long as you have a web browser, you can start experimenting with fine-tuning and Llama 3.1. That's all it takes!

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