3 articles
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.
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 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.
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