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.
Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language models (LLMs) while also boosting speed and maintaining accuracy.
TurboQuant is aimed at reducing the size of the key-value cache, which Google likens to a “digital cheat sheet” that stores important information so it doesn’t have to be recomputed.
ByteDance, the Chinese tech giant behind TikTok, last month released what may be one of the most ambitious open-source AI agent frameworks to date: DeerFlow 2.0. It's now going viral across the machine learning community on social media. But is it safe and ready for enterprise use?
This is a so-called "SuperAgent harness" that orchestrates multiple AI sub-agents to autonomously complete complex, multi-hour tasks. Best of all: it is available under the permissive, enterprise-friendly standard MIT License, meaning anyone can use, modify, and build on it commercially at no cost.
In this video, we’re breaking down all the latest features — including Claude controlling your computer, recurring cloud jobs with /schedule, DOM element selection, Dispatch from your phone, and way more.
AI coding company Cursor launched a new model this week called Composer 2, which it promoted as offering “frontier-level coding intelligence.”
However, an X user posting under the name Fynn soon claimed that Composer 2 was “just Kimi 2.5” with additional reinforcement learning — Kimi 2.5 being an open source model recently released by Moonshot AI, a Chinese company backed by Alibaba and HongShan (formerly Sequoia China).
In this video, we go through Google's update to the Stitch app and look at the new features that it's added, like the Design.md files and the ability to replicate the theme of various sites.
In the last few years, Chinese AI startup MiniMax has become one of the most exciting in the crowded global AI marketplace, carving out a reputation for delivering frontier-level large language models (LLMs) with open source licenses and before that, high-quality AI video generation models (Hailuo).
The release of MiniMax M2.7 today — a new proprietary LLM designed to perform well powering AI agents and as the backend to third-party harnesses and tools like Claude Code, Kilo Code and OpenClaw — marks yet a new milestone: Rather than relying solely on human-led fine-tuning, MiniMax has leveraged M2.7 to build, monitor, and optimize its own reinforcement learning harnesses.