LLM inference is often treated as a black box. Engineers observe input and output, but the internal mechanics determine both latency and…Continue reading on Medium »
A client told me something last week that I haven’t been able to shake.Continue reading on Medium »
Source: Grok AI-generated illustrationWhat is RLHF ?RLHF is a M.L technique where Al improves by learning directly from human feedback. It is used to align Al models with human goals, ethics and preferences. It uses Human feedback to optimize LLMs to s…
If you’re building autonomous AI agents, you already know the feeling. The technology is extraordinary — and maddeningly insufficient for the job. Context windows are larger than ever, but your agent still loses the thread on long tasks. Reasoning is s…
I don’t write code. I’ve never written code. I direct AI coding agents — Claude Code, mostly — and they build what I describe. Over the last few months, I’ve been building a series of single-task AI agents, each one proving a different idea about how a…
The landscape of open-source artificial intelligence has shifted from purely generative models toward systems capable of complex, multi-step reasoning. While proprietary ‘reasoning’ models have dominated the conversation, Arcee AI has released Trinity Large Thinking. This release is an open-weight reasoning model distributed under the Apache 2.0 license, positioning it as a transparent alternative for developers […]
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I Built a Vision-Based Desktop Agent That Navigates by Screenshot. Here’s What Actually Works.DOM-based automation requires you to reverse-engineer someone else’s frontend and pray they don’t change it. They always change it.Source: Image by Resource D…
Moving from clones to reimaginings.
Image Disclaimer: This banner was conceptualized by the author and rendered using Gemini 3 Flash Image.A framework for figuring out when AI-generated code can be formally verified — and when you’re kidding yourself.I’ve been thinking about a problem th…
Hugging Face has officially released TRL (Transformer Reinforcement Learning) v1.0, marking a pivotal transition for the library from a research-oriented repository to a stable, production-ready framework. For AI professionals and developers, this release codifies the Post-Training pipeline—the essential sequence of Supervised Fine-Tuning (SFT), Reward Modeling, and Alignment—into a unified, standardized API. In the early stages […]
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