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aman prakash

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reacted to clem's post with 🔥 about 19 hours ago
I was chatting with @peakji , one of the cofounders of Manu AI, who told me he was on Hugging Face (very cool!). He shared an interesting insight which is that agentic capabilities might be more of an alignment problem rather than a foundational capability issue. Similar to the difference between GPT-3 and InstructGPT, some open-source foundation models are simply trained to 'answer everything in one response regardless of the complexity of the question' - after all, that's the user preference in chatbot use cases. Just a bit of post-training on agentic trajectories can make an immediate and dramatic difference. As a thank you to the community, he shared 100 invite code first-come first serve, just use “HUGGINGFACE” to get access!
liked a model 10 days ago
tomg-group-umd/huginn-0125
upvoted a paper 10 days ago
Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach
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Open-source DeepResearch – Freeing our search agents

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We now support VLMs in smolagents!

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SmolVLM - small yet mighty Vision Language Model

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Simplifying Alignment: From RLHF to Direct Preference Optimization (DPO)

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