<!-- SC_OFF --><div class="md"><p>​</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find
<!-- SC_OFF --><div class="md"><p>Until last week, generating an image inside Claude meant Claude wrote you a prompt. Then you copied it. Opened another tab. Pasted it into
<!-- SC_OFF --><div class="md"><p>Link to the paper:</p> <p><a
<!-- SC_OFF --><div class="md"><p>Having gone through pretty much all of the models and having worked on frontend, backend, debugging, development, iterations and tons of other
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1thkwgk/bytedance_released_an_open_source_model_that/"> <img alt="bytedance released an open source model
<!-- SC_OFF --><div class="md"><p>TL;DR: After all this time, I’m no longer sure whether ChatGPT or another GPT can be used for a model that requires around 85% determinism.</p>
<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I'm a Computer Engineering student working on my final degree project (TFG), and I have around 300 hours to complete it.</p>
<!-- SC_OFF --><div class="md"><p>After burning way too much money on GPT-4 API calls, I finally went all-in on local models with Ollama. The progress in 2026 is insane
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