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Hugging Face now lets developers hook open-source LLMs (like Kimi K2, DeepSeek V3.1, GLM 4.5 etc.) straight into GitHub Copilot Chat in VS Code. No tab switching, just install the extension, pick your provider + model, and code with power + flexibili

Which one is the most useful AI model according to you and your use case ? 1) Deepseek 2) Chat GPT 3) Perplexity 4) Claude 5) Kimi 6) Qwen 7) Grok 8) Llama 9) Mistral 10) Kimi Comment below 👇

Best Open Source LLM:Tencent Hunyuan-Large: The 389 Billion Parameter Model Outperforming Llama 3 and DeepSeek V2

Another open-source model has arrived, and it’s even better than DeepSeek-V3. The Allen Institute for AI just introduced Tülu 3 (405B) 🐫, a post-training model that is a fine-tune of Llama 3.1 405B, which outperforms DeepSeek V3.

AnyLLM is here to end overpriced LLM subscriptions! Need LLaMA from Meta? ✅ Want DeepSeek? Always ready! ⚡ Craving Mistral? You got it! 15+ powerful AI models in ONE place! Code smarter. Research faster. Simplify your tasks like a pro! 🚀🧠💻

Meta may delay the release of its Behemoth model because they haven't been able to improve Llama enough to justify a public release. Is it surprising when Yann LeCun, Meta's Chief AI scientist, doesn't believe in LLMs and is more focused on JEPA? T

So 🇮🇳's IT minister said, "We will soon host DeepSeek on Indian servers. It is an open-source model like LLama. Data privacy issues regarding DeepSeek can be addressed by hosting open source models on Indian servers," says Ashwini Vaishnaw. it has

Thinking of building an app offering private LLMs with data processing all locally on the phone ----> No risk of data theft for a single monthly subscription You get 20+ LLMs, unlimited usage Is there a Market for it?

Hugging Face AI Sheets now you can build, enrich & transform datasets with LLMs using a free, open-source, no-code sheet interface. Try it instantly in-browser or deploy locally for full privacy. Prompt, compare, refine no coding needed.

"Just fine-tuned LLaMA 3.2 using Apple's MLX framework and it was a breeze! The speed and simplicity were unmatched. Here's the LoRA command I used to kick off training: ``` python lora.py \ --train \ --model 'mistralai/Mistral-7B-Instruct-v0.2' \ -