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DeepSeek has quietly dropped V3.1, a 685B-parameter open-source LLM on Hugging Face—128K token context, hybrid reasoning/chat/coding, multi-precision support. Early benchmarks: 71.6 % Aider coding, on par with proprietary models & 68× cheaper.

Hello everyone this is my first post I am upload the my YouTube channel will be post in video My channel researches various types of Ai It explains how that LLM. was created, like in the latest video, which I am providing you this link, LLM exp

Big News: Friday AI – Adaptive API is Coming! We’re launching Adaptive API, the world’s first real-time context scaling framework for LLMs. Today, AI wastes massive tokens on static context — chat, code, or docs all use the same window. The result?

India’s large language model (LLM) is expected to be ready within the next 10 months, said the Minister of Electronics and IT Ashwini Vaishnaw on Thursday. “We have created the framework, and it is being launched today. Our focus is on building AI m

🔥Sarvam AI to Launch India's First Homegrown LLM🔥 🔥 Sarvam AI building India's first domestic LLM with 4,096 H100 GPUs – Bengaluru startup secured ₹99 crore in GPU subsidies under IndiaAI Mission, launching by early 2026 . 🤔 Why It Matters – Re

Introducing the World's First Adaptive Context Window for Emotional AI Built by the Friday AI Core Technologies Research Team Most LLMs today work with static memory — 8K, 32K, maybe 128K tokens. But human conversations aren't static. Emotions evo

Introducing the World's First Adaptive Context Window for Emotional AI Built by the Friday AI Core Technologies Research Team Most LLMs today work with static memory — 8K, 32K, maybe 128K tokens. But human conversations aren't static. Emotions evo

I am looking for a ( Senior ) Data Scientist/ LLM Engineer / ML Engineer to join akirolabs in Berlin and join us in building the leading LLM for procurement. Rest assured, we are fully prepared to provide visa sponsorship for relocation to Germany i

🚀 Sharing my portfolio update! Past Goal: Built scalable applications that could handle growth with efficiency. Current Goal: Diving deep into Large Language Models (LLMs), exploring how they can shape intelligent solutions. Future Goal: Contribu