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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.

"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' \ -

IDEA : AI Training Data generator A Developer Platform which is much specify for AI-ML field to achieve various tasks like Analysis, Generation and Segmentation of real time data across data like text, image, audio, video that requires heavy and hig

Latest update to my Jarvis Today I have added some features to my jarvis to make it more special and more sophisticated Now my jarvis can do the linkdin post which is done with the help of making automation. Added few agents which means like thi

"A Survey on Post-Training of Large Language Models" This paper systematically categorizes post-training into five major paradigms: 1. Fine-Tuning 2. Alignment 3. Reasoning Enhancement 4. Efficiency Optimization 5. Integration & Adaptation 1️⃣ Fin

If I were to offer 1 GB of data at ₹5, with no expiry, and similar plans for higher data amounts at a hotspot location, would this model appeal to consumers? Is there a market need for such a service, where data affordability and flexibility are prio

Huge announcement from Meta. Welcome Llama 3.1🔥 This is all you need to know about it: The new models: - The Meta Llama 3.1 family of multilingual large language models (LLMs) is a collection of pre-trained and instruction-tuned generative models

In traditional programming, the focus is on using rules and data to find answers. This is typically represented as rules + data = answers. In contrast, AI/ML takes a different approach: Answers + data = rules. In AI/ML, we train models by providing

🌐 Russia Hits Google with a $2.5 Decillion Fine! 🌐 Russia has slapped Google with a jaw-dropping fine of $2.5 decillion for not restoring 17 Russian TV channels on YouTube. To put it simply, that’s a number so astronomical, it surpasses the total

Ever happened to you. You are surrounded by millions of people all day. Have friends to talk. Family to support. Everything's fine but that feeling you need to get out of the comfort are try what keeps you up at night. I may say I'm not alone but I n