78% MNIST accuracy using GZIP in under 10 lines of code
Using GZIP compression and the k-Nearest Neighbors algorithm, we explore an innovative approach to classifying the MNIST dataset with about 78% accuracy
The latest blog posts to take off on Hacker News. 6,334 posts.
Using GZIP compression and the k-Nearest Neighbors algorithm, we explore an innovative approach to classifying the MNIST dataset with about 78% accuracy
Bard gets its most capable model yet, along with new and expanded features.
Recently, I started working on a new LLM-oriented project . It’s currently far from feature-complete and probably filled with bugs, but I’m hoping to use it as a platform for exploring a question I’ve been considering a lot lately: what will LLM-powered software look like in the medium-term future? It seems undeniable…
How can we build machines with human-level intelligence? There’s a limit to how far the field of AI can go with supervised learning alone. Here's why self-supervised learning is one of the most promising ways to make significant progress in AI.
Wiz Research found a data exposure incident on Microsoft’s AI GitHub repository, including over 30,000 internal Microsoft Teams messages – all caused by one misconfigured SAS token
I found some details about Apple’s new predictive text model, coming soon in iOS 17 and macOS Sonoma.
GPT-4 may have declined in some areas, but it hasn’t systematically done so. My tests were shit, and never proved much of anything.
Practical guide to improving LLM finetuning with better instruction datasets, covering data curation, prompt-output pairs, synthetic data, and experiment ideas.
LLMs are not a direct solution to most of the NLP use-cases companies have been working on. They are extremely useful, but if you want to deliver reliable software you can improve over time, you can't just write a prompt and call it a day. Once you're past prototyping and want to deliver the best system you can…
Stable Audio represents the cutting-edge audio generation research by Stability AI’s generative audio research lab, Harmonai. We continue to improve our model architectures, datasets, and training procedures to improve output quality, controllability, inference speed, and output length.
The evolution of the AI landscape, and YC's Copilot era.
The Case for LLMs as Hallucination Engines
Prompted by Keith Frankish's recent streamed discussion of LLM intentionality on YouTube , there's a particular idea I wanted to share which...
Nvidia is an amazing company that has executed a contrarian vision for decades, and has rightly become one of the most valuable corporations on the planet thanks to its central role in the AI revol…
If you ever tried to learn how the Harris corner detection algorithm works, you might have noticed that the process is not intuitive at all. First, you start with an energy function, approximate it using Taylor approximation, get a matrix from that, then find the eigenvalues of that matrix, etc. But when you come to…
The exploration of a LLM+OLAP solution is a bumpy journey, but phew, it now works well for the Tencent case, and they're writing down every lesson learned to share with you.
I frequently reference a process called Reinforcement Learning with Human Feedback (RLHF) when discussing LLMs, whether in the research news or tutorials.
Cohere's platform was used to create an AI that would generate playable Magic The Gathering cards based only on a given name of each card.
We’re open-sourcing Persimmon-8B, the most powerful fully permissively-licensed language model with <10 billion parameters.
Since our launch of the Mojo programming language on May 2nd, more than 120K+ developers have signed up to use the Mojo Playground and 19K+ developers actively discuss Mojo on Discord and GitHub. Today, we’re excited to announce the next big step in Mojo’s evolution: Mojo is now available for local download …
With customers ask whether they can use Microsoft’s Copilot services without worrying about copyright claims, we are providing a straightforward answer: yes, you can, and if you are challenged on copyright grounds, we will assume responsibility for the potential legal risks involved.
SIGGRAPH 2023 just had a paper “ 3D Gaussian Splatting for Real-Time Radiance Field Rendering ” by Kerbl, Kopanas, Leimkühler, Drettakis, and it looks pretty cool! Check out their website, source code repository, data sets and so on (I should note that it is really, really good to see full source and full data sets…
Edit: This post made it to the front page of Hacker News! You can find the discussion here.
Stephen Wolfram shares memories of Doug Lenat, early AI pioneer and developer of the CYC system. Their discussions around AI & logic and the potential combined uses of their respective discoveries.
We’ve noticed an unusual training pattern in fine-tuning LLMs. At first we thought it’s a bug, but now we think it shows LLMs can learn effectively from a single example.
LLM is my Python library and command-line tool for working with language models. I just released LLM 0.9 with a new set of features that extend LLM to provide tools …
Today we're introducing Refact LLM: 1.6B code model with infill real-time code completion (including fill-in-the-middle(FIM) capability) and chat.
AI has lost a giant