Author: Manoj Balakrishnan

   What would you build if you could run Reinforcement Learning (RL) post-training on a 32B LLM in 4-bit NVFP4—on

   In this tutorial, we explore how to build a Context-Folding LLM Agent that efficiently solves long, complex tasks by

   In the age of AI ubiquity, the success of intelligent systems depends not only on the quality of data,

   Anthropic released Claude Haiku 4.5, a latency-optimized “small” model that delivers similar levels of coding performance to Claude Sonnet

   Unplanned downtime in AI is Transforming is a major headache. Sudden failures in induction heating, melting, or quenching equipment

   ChatGPT alternatives are increasingly popular because sometimes ChatGPT is not enough for user preferences. Maybe you want more extensive

   How would your agent stack change if a policy could train purely from its own outcome-grounded rollouts—no rewards, no

   Do you actually need a giant VLM when dense Qwen3-VL 4B/8B (Instruct/Thinking) with FP8 runs in low VRAM yet

   As cities expand and consumption increases, the challenge of managing waste efficiently has become a major global concern. Every

   Andrej Karpathy has open-sourced nanochat, a compact, dependency-light codebase that implements a full ChatGPT-style stack—from tokenizer training to web