Gemma 4 arrives as four distinct models organized into two deployment tiers. The "workstation" tier includes a 31B-parameter dense model and a 26B A4B Mixture-of-Experts model — both supporting text and image input with 256K-token context windows. The "edge" tier consists of the E2B and E4B, compact models designed for phones, embedded devices, and laptops, supporting text, image, and audio with 128K-token context windows.
Microsoft AI, the tech giant’s research lab, announced the release of three foundational AI models on Thursday that can generate text, voice, and images.
The release signals Microsoft’s continued push to build out its own stack of multimodal AI models — and compete with rival AI labs — even though it remains tied to OpenAI.
Hermes is a specialized AI agent framework that many are calling the OpenClaw killer. And in this video, I walk through what Hermes is, how I'm using it, why and where it's better and different than OpenClaw, and how you can think about using it in your business as well.
Ollama, a runtime system for operating large language models on a local computer, has introduced support for Apple’s open source MLX framework for machine learning. Additionally, Ollama says it has improved caching performance and now supports Nvidia’s NVFP4 format for model compression, making for much more efficient memory usage in certain models.
Anthropic's engineering team just published a deep dive on harness design for long-running agents. And buried in the technical details are some honest admissions and crucial insights that apply to anyone building multi-step AI systems, not just coding agents.
In this video, I look at how you can improve your Claude/Agent skills by improving the code quality in the scripts that are in there, and I use scraping scripts as an example of this.
In this video, we look at LiteParse, a new open document parser created by the people at LlamaIndex. This library allows you to pass a variety of different types of documents. and output easily to text files or JSON.
