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Victor Mustar PRO
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πΊπ¦ββ¬ LLM Comparison/Test: DeepSeek-V3, QVQ-72B-Preview, Falcon3 10B, Llama 3.3 70B, Nemotron 70B in my updated MMLU-Pro CS benchmark
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Your feedback on HuggingChat
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#1 opened over 1 year ago
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merve's
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supercharge your LLM apps with smolagents π₯
however cool your LLM is, without being agentic it can only go so far
enter smolagents: a new agent library by Hugging Face to make the LLM write code, do analysis and automate boring stuff!
Here's our blog for you to get started https://huggingface.co/blog/smolagents
however cool your LLM is, without being agentic it can only go so far
enter smolagents: a new agent library by Hugging Face to make the LLM write code, do analysis and automate boring stuff!
Here's our blog for you to get started https://huggingface.co/blog/smolagents
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The
deepseek-ai/DeepSeek-V3 is very good! I have been playing with it and found it is really good at one-shotting a pretty good landing page.
You can play with it here: https://deepseek-artifacts.vercel.app
All the responses get saved in the cfahlgren1/react-code-instructions dataset. Hopefully we can build one of the biggest, highest quality frontend datasets on the hub πͺ
You can play with it here: https://deepseek-artifacts.vercel.app
All the responses get saved in the cfahlgren1/react-code-instructions dataset. Hopefully we can build one of the biggest, highest quality frontend datasets on the hub πͺ
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Check out the early preview of the upcoming Tachibana-QVQ dataset: code-reasoning and code-instruct data generated with
Qwen/QVQ-72B-Preview
Link here: sequelbox/Tachibana-QVQ-PREVIEW
more to come :)
Link here: sequelbox/Tachibana-QVQ-PREVIEW
more to come :)
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