<!-- SC_OFF --><div class="md"><p>We’re developing TanML, an MIT-licensed automated model-validation toolkit for tabular machine-learning models.</p> <p>TanML runs locally and
<!-- SC_OFF --><div class="md"><p>Hi Everyone, </p> <p>For people who’ve worked on internal AI/search/RAG projects: what was the real blocker during security/compliance
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1tcsqwk/built_an_opensource_oneprompttocinematicreel/"> <img alt="Built an open-source
<!-- SC_OFF --><div class="md"><p>Rolled out mcp tool access for our ai assistants about 6 weeks ago so chatgpt and claude could hit our crm, project management tool, and a few
<!-- SC_OFF --><div class="md"><p>I've been thinking about this as local models get better at </p> <p>tool use — shell access, file system, HTTP requests, MCP. </p> <p>If a prompt
<!-- SC_OFF --><div class="md"><p>Just putting together a quick list of the new <strong>open-source physical AI / robotics models</strong> from <strong>NVIDIA GTC
<!-- SC_OFF --><div class="md"><p><a href="https://github.com/SomeoneAlt-86/open-mythos">https://github.com/SomeoneAlt-86/open-mythos</a><br /> Claude just previewed their Mythos
<!-- SC_OFF --><div class="md"><p>Released this week after a few months of work.</p> <p>The problem:</p> <p>Getting Australian medical document training data legally is a dead
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