<!-- SC_OFF --><div class="md"><p>No offense to the fine-tune model providers, just curious. IMO the original models were already trained on massive amount of high quality data,
<!-- SC_OFF --><div class="md"><p>I have known about abliterated models before but never used them </p> <p>I have recently switched from Qwen 3.5 to Qwen3.5 Claude Opus 4.6 </p>
<!-- SC_OFF --><div class="md"><blockquote> <p>Wait, I need to be careful about the "no_think" tag in the system prompt. The system prompt says <code>/no_think</code>.
<!-- SC_OFF --><div class="md"><p>Title essentially.</p> <p>Why is it that every model has to compare for the competition? Like I am confused why Opus 4.7 isn’t good enough or
<!-- SC_OFF --><div class="md"><p>I want to play with Qwen 3.6. <em>Unsloth</em> shows 4 different parameter options for different use-cases. I'm confused about the difference
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1tdft9u/poetiq_recursive_selfimprovement_delivers_new/"> <img alt="Poetiq: Recursive Self-Improvement
<!-- SC_OFF --><div class="md"><p>So I'm interested in using GPT for language learning. Specifically I use it for creating graded readers, vocabulary lists, checking expressions
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