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BREAKTHROUGH INSIGHT: Most people train AI models. Smart people fine-tune AI models. But the real secret? Learning to dance with AI's existing knowledge. Stop forcing. Start flowing.

here is something new with ai technology which help other to make progress and upgrade there productivity inviting for collaboration using base technologies python , pre fine-tuned models , etc

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.

Gemini also exhausted solving the error ,after several tries it gave up ,it was fun seeing an ai is giving up ofcourse it doesn't get salary 😂 #ai #gemini

🔥Talks with Microsoft- Our Dataset They Liked > Big things cooking at Friday AI 🍳 Recently had exciting discussions with a few Microsoft engineers — they’re genuinely interested in our House Engine: → A high-scale in-house data engine that power

I’ve always found naming things harder than building them. So I’m creating a tool that lets you generate names for anything — but with a twist. What sets it apart is the deep level of customizability and control. You can fine-tune everything — the to

The secret to creating an error free AI is the main science behind ai is we give output and we have a expected output in between we have a fine layer in which we have neural network we need to increase the neural network in the layers instead of add

Jensen Huang, the CEO of NVIDIA, describes how AI is advancing in three key dimensions: 1. Pre-training: This is like getting a college degree. AI models are trained on massive datasets to develop broad, general knowledge about the world. 2. Post-