So I fell asleep while my PC generated 2000+ of Hatsune Miku over night and woke up to my PC´s fan running 100% and was over heating and I had to shut it down.
submitted by /u/Christianman88 [link] [comments]
Addressing the conundrum of imposter syndrome and LLMs
By using LLMs as aids rather than crutches, we can harness their potential without falling into the trap of imposter syndrome.Read More
Generative AI pioneers the future of child language learning
Researchers create a storybook generation system for personalized vocabulary learning.
xinsir propmax feels like magic to me!
tiled upscale with only 20% strength with no seam fix and the results are great In my view! submitted by /u/Dear-Spend-2865 [link] [comments]
Donald Trump Backs ‘Strategic Bitcoin Stockpile’ in Speech to Crypto Faithful
Appearing onstage at the Bitcoin 2024 conference, Trump also promised to “fire” SEC chair Gary Gensler, set up a crypto advisory council, and make the United States the “crypto capital of the world.”
I tested KLING AI video to video generator with some classic spanish paintings
submitted by /u/kornerson [link] [comments]
Hex-LLM: High-efficiency large language model serving on TPUs in Vertex AI Model Garden
With Vertex AI Model Garden, Google Cloud strives to deliver highly efficient and cost-optimized ML workflow recipes. Currently, it offers a selection of more than 150 first-party, open and third-party foundation models. Last year, we introduced the popular open source LLM serving stack vLLM on GPUs, in Vertex Model Garden. Since then, we have witnessed …
Read more “Hex-LLM: High-efficiency large language model serving on TPUs in Vertex AI Model Garden”
Silicon Valley shaken as open-source AI models Llama 3.1 and Mistral Large 2 match industry leaders
Meta’s Llama 3.1 and Mistral Large 2 open-source AI models challenge industry leaders, reshaping the AI landscape and democratizing access to cutting-edge technology.Read More
Open Source AI Has Founders—and the FTC—Buzzing
DC went to YC to talk OS.
Engineers develop magnetic tunnel junction–based device to make AI more energy efficient
Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.