<!-- SC_OFF --><div class="md"><p>What would you build? How would it augment your flow if you use SOTA models? How would it change the way that enterprise and home users utilize
<h2> FlashQLA Kernels Accelerate AI; NVIDIA & AMD Unveil New GPUs </h2> <h3> Today's Highlights </h3> <p>This week, Qwen introduced FlashQLA, high-performance attention
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1s6r8ro/why_the_pricing_is_so_uneven_like_for_very_small/"> <img alt="Why the pricing is so uneven? like for
<table> <tr><td> <a href="https://www.reddit.com/r/ChatGPT/comments/1szv149/every_24_months_the_price_of_a_given_ai/"> <img alt="Every 2-4 months, the price of a given AI
<!-- SC_OFF --><div class="md"><p>I'm genuinely unsure if I'm doing something wrong, or if the model is just worse, despite the community enthusiasm. I tend to use it with pi
<a href="https://news.ycombinator.com/item?id=49554520">Comments</a>
<!-- SC_OFF --><div class="md"><p>I run all sorts of models locally, but I only have a 3090ti. With vllm I’m able to batch and get 2-6 parallel streams in low context. That
<!-- SC_OFF --><div class="md"><p>So i recently updated LMstudio after a long pause and updated my llama.cpp runtimes too.. i was shocked.. i thought maybe something like
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