META

SAM 3.1 finally hits the latency budget for realtime video. Here is how to wire Meta's new segmentation model into a production pipeline without melting your GPU.

The long-standing JavaScript test framework from Meta. Snapshots, mocks, parallelism, and the broadest plugin ecosystem in the JS testing world.

Meta's Llama 4 family brings mixture-of-experts to open source with Scout and Maverick. Here's how to run them locally, access them through APIs, and decide when they beat the competition.

Meta's open-source model family. Llama 4 available in Scout (17B active) and Maverick (17B active, 128 experts). Free to use, modify, and deploy commercially.

Meta surprised the AI community with Llama 3.3, a 70 billion parameter model that delivers 405B-class performance at a fraction of the cost. Here is what the benchmarks show, where to run it, and why this release matters for developers building with open-source models.