The latest blog posts to take off on Hacker News. 6,334 posts.
I have been meaning for a while to establish a setup to implement neural network based algorithms on smaller microcontrollers. After reviewing existing solutions, I felt there is no solution that I…
Google has chosen to send a response to my article to Barry Schwartz of Search Engine Roundtable. Here is my response. (1) On the March 2019 core update claim in the piece: This is baseless speculation. The March 2019 core update was designed to improve the quality of our search
I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. More than anyone really has any right to train. As I’ve spent these hours observing the effects of tweaking various model configurations and h
To help customers make more efficient use of their AI computing resources, NVIDIA today announced it has entered into a definitive agreement to acquire Run:ai, a Kubernetes-based workload management and orchestration software provider. Customer AI deployments are becoming increasingly complex, with workloads…
Wanna listen to this story instead? Check out this week's Better Offline podcast, "The Man That Destroyed Google Search," available on Apple Podcasts, Spotify, and anywhere else you get your podcasts. UPDATE: Prabhakar has now been deposed as head of search, read here for more details. If you liked
Programming blog of Eugene
I gave a talk last month at the Story Discovery at Scale data journalism conference hosted at Stanford by Big Local News. My brief was to go deep into the …
Meta's release of Llama 3.2 marks a turning point where open-source AI models match and even surpass proprietary models.
Compared to Llama 2, Llama 3 feels much less censored. Meta has substantially lowered false refusal rates. Llama 3 will refuse less than 1/3 of the prompts previously refused by Llama 2.
“Meet Your New Assistant” says the announcement , going on with “Built With Llama 3”. And oh my goodness has it ever got a lot of coverage. So I thought I might as well try it.
Today, we’re introducing Meta Llama 3, the next generation of our state-of-the-art open source large language model. In the coming months, we expect to share new capabilities, additional model sizes, and more.
In my last post , I discussed some work I had done building Nero, the assistant of the future that I’ve always wanted. I ended up creating an end-to-end example which used Nx, OpenAI APIs, and ElevenLabs to create an in-browser home automation assistant. For a first product, it’s decent. Nero is a neat little party…
Since 1984 a secretive AI project has been building a massive knowledge base to enable human-like reasoning. Will it work?
A possibly new algorithm for LLM Inference. Adjust smoothly - and in real time - how many calculations you'd like to do during inference.
Vector embeddings have been an Overton window shifting experience for me, not because they’re sufficiently advanced technology indistinguishable from magic, but the opposite.
We are pleased to announce the availability of Stable Diffusion 3 and Stable Diffusion 3 Turbo on the Stability AI Developer Platform API.
The most powerful AI platform for enterprises. Customize, fine-tune, and deploy AI assistants, autonomous agents, and multimodal AI with open models.
Humane AI (Humane, hereafter) combines the mid-2010s failed concept of using a laser projector to project on the body with the early 2000s failed projector phone (something I wrote about in 2013), …
There are many potential ways to use AI 1 (and computers in general) for 2D animation. I’m currently interested in a seemingly conservative goal: to improve the productivity of a traditional hand-drawn full animation workflow by AI assuming responsibilities similar to those of a human assistant.
This is a visual guide (scroll story) to Vision Transformers (ViTs), a class of deep learning models that have achieved state-of-the-art performance on image classification tasks.
Demystifying attention, the key mechanism inside transformers and LLMs.
[custom_views_and_hn_comments hn_id=”40015185″] My startup Truss (gettruss.io) released a few LLM-heavy features in the last six months, and the narrative around LLMs that I read on Hacker News is now starting to diverge from my reality, so I thought I’d share some of the more “surprising” lessons after churning…
We are sharing details of our next generation chip in our Meta Training and Inference Accelerator (MTIA) family. MTIA is a long-term bet to provide the most efficient architecture for Meta’s unique workloads.
I’m a bit behind on my weeknotes, so there’s a lot to cover here. But first... a review of the last 24 hours of Large Language Model news. All times …
OpenAI’s GPT-4 Turbo with Vision model scores worse on aider’s code editing benchmarks than all the previous GPT-4 models. In particular, it seems much more prone to “lazy coding” than the existing GPT-4 Turbo “preview” models.
