<!-- SC_OFF --><div class="md"><p>I build context/harness optimization tooling, so provider-side serialization quirks actually matter to me. If you're optimizing over prompts, you
<!-- SC_OFF --><div class="md"><p>Hi,</p> <p>I taught Computer Science for 30 years in a French School of Electrical Engineering, Computer Science Department.</p> <p>I recently
<!-- SC_OFF --><div class="md"><p>For years I assumed bad AI output was just a sign that the model was not good enough. I kept trying different prompts, testing different GTPs,
<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m currently working on a project to build a <strong>100% local AI chatbot</strong> for a government-related use case
<!-- SC_OFF --><div class="md"><p>I have snobbishly long felt that the local models were not 'up to my standards' for local development, or otherwise able to compete with GHCP,
<!-- SC_OFF --><div class="md"><p>Hello everyone,</p> <p>I’m looking for an AI that runs entirely locally on my PC, without needing an internet connection.</p> <p>I’d like it to
<!-- SC_OFF --><div class="md"><p>So I'm looking in these files and I see a huge dump. It seems like there's the entire base instruction. Is this already open source or am I
<!-- SC_OFF --><div class="md"><p>One thing we’ve been noticing lately is that a surprisingly large percentage of day-to-day AI workflows no longer seem to require frontier-scale
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