In the strongest example of "weight space programming", as the technique is called, Astra’s intervention raised Qwen3.5-0.8B’s MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of ...

How to use rghosh8/SFT_baseline_deepseek-llm-7b-chat_opencoder_42 with Transformers: # Use a pipeline as a high-level helper from transformers import pipeline pipe ...

Article by Shenchao TechFlowNo training required, no data needed, no gradient descent.Researchers at MIT fed the weights of ...

Sarvam AI is hiring for 46 roles in Bengaluru, focusing on LLM, infrastructure, and voice systems. Discover the essential ...

Writing from scratch: given MinAtar game rules and code, Astra wrote a Breakout network's weights in a single reply. With zero training or tools, it scored 20× higher than PPO trained for 500M steps!

Unifying multimodal understanding and generation poses significant inherent challenges rooted in the heterogeneous nature of cross-modal data, misaligned semantic distribution spaces, inconsistent ...

Model size decides how much a model can hold onto, and research puts that at roughly 2 bits of knowledge per parameter even ...

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

I have summarized the support for PLE SSD offloading in "vLLM".1. IntroductionOn October 30, 2026, the LLM inference engine "vLLM", added a feature to place massive embedding tables on SSDs to reduce ...

Google, OpenAI, Microsoft, and Anthropic now honor one robots.txt token that blocks AI training across all four platforms.