No-Code, Local, Finetuning of LLMs for Everyone

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I recently started working in controlling and I’m currently going through the typical learning curve: understanding complex

<!-- 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>Even with agent framework DX getting somewhat better - it's still really annoying to build real apps with them. Even a basic in-app agent chatbot

&#32; submitted by &#32; <a href="https://www.reddit.com/user/NoobMLDude"> /u/NoobMLDude </a> <br /> <span><a href="https://youtu.be/zHdRN9jblaE">[link]</a></span> &#32; <span><a

<!-- SC_OFF --><div class="md"><p>Most of my LLM cost was on the wrong tier of work.</p> <p>Classification, extraction, JSON formatting, summarization I'm going to review anyway.

<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1t0ea9u/i_built_a_fully_local_meeting_ai_that_runs/"> <img alt="I built a fully local meeting AI that runs

<!-- 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

<!-- SC_OFF --><div class="md"><p>Is there any local llm that gets close to Claude code in agentic coding?</p> </div><!-- SC_ON --> &#32; submitted by &#32; <a