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The most popular blog posts about ai & machine learning on Hacker News. 789 posts.
The effects of new technology are seldom either solely positive or solely negative and, as such, there is a responsibility that sits with those that develop technology to consider how it will be used. Underlying that responsibility sits a need to deeply understand technology. The recent rise of Large Language Models…
a cutting-edge method for reconstructing and retrieving images from fMRI brain activity. Discover how fMRI enables detailed analysis of brain functions and aids in evaluating brain treatments. MindEye's training on the Natural Scenes Dataset brings new insights to neuroscience research. Explore the
Ultravox is a real-time voice AI infrastructure layer that powers fast, natural, and scalable voice agents.
Discover the capabilities of Annoy, an innovative algorithm revolutionizing approximate nearest neighbor searches for enhanced efficiency and precision.
Do Androids dream of electric sheep?
Let's talk about ChatGPT with Code Interpreter & Microsoft Copilot
Rather then view LLMs, Transformers, and diffusion models as part of a continuum with past "AI", it is worth thinking of this as an entirely new era and discontinuity from the past
In this blog we discuss how the transformer architecture naturally extends over external memories, and share empirical results which leverage this capability. These methods are innate (don't require fine tuning) and outperform popular retrieval augmented generation methods.
Fly further together. Ask questions and share ideas in a global community of AI and ML builders.
Texts on this and that.
Part 2 of a blog post about my time on the computer science job market in 2021-2022, in which I discuss my personal decision-making process between offers.
Large language models seem just like humans, but some of this is in our heads.
Using Anyscale Endpoints, we compared Llama 2 7b, 13b and 70b vs. OpenAI's GPT-3.5-turbo and GPT-4 for accuracy and cost.
ChatGPT is a fancy auto-complete : what it does is finding the most likely continuation of text for the text it has already printed out (or as a reply for the prompt, when it is starting printing stuff out), according to the large corpus of text it has been trained with.
Generative AI tools like ChatGPT and Midjournery are able to replicate (and often exceed) human-like performance on tasks like taking exams, generating text and making art.
Zero-Knowledge machine learning (ZKML) is a field of research and development that has been making waves in cryptography circles recently. But what is it and why is it useful? First, let's break down the term into its two constituents and explain what they are.
GPUX is a distributed supercomputer.
In this guide, I will share the standard architecture for data-informed language model applications and explain forthcoming improvements in knowledge retrieval.
Singular Value Decomposition (SVD) is a fundamental concept in linear algebra, and it is particularly important in the field of machine learning for tasks such as dimensionality reduction, data compression, and noise reduction.
In the world of data, textual data stands out as being particularly complex. It doesn’t fall into neat rows and columns like numerical data does. As a side project, I’m in the process of developing my own personal AI assistant. The objective is to use the data within my notes and documents to answer my questions. The…
Also, shortcomings in document retrieval and how to overcome them with search & recsys techniques.
We’re making Duet AI for Google Workspace available to organizations around the world and announcing new AI capabilities, including automatic summaries and action items in Meet.
Fast and Portable Llama2 Inference on the Heterogeneous Edge.
Stability AI and its CarperAI lab are proud to announce FreeWilly1 and its successor FreeWilly2, two powerful new, open access, Large Language Models (LLMs). Both models demonstrate exceptional reasoning ability across varied benchmarks.
A blog about game engines, graphics, C++, and more.
LOS ANGELES, CA, December 20, 2022 — Deep Voodoo, the artificial intelligence entertainment startup formed by Trey Parker and Matt Stone, announced today that it has secured a $20 million investment led by Connect Ventures, an investment partnership between leading entertainment and sports agency Cr
Practical guide to improving LLM finetuning with better instruction datasets, covering data curation, prompt-output pairs, synthetic data, and experiment ideas.
In high-dimensional vector spaces, numerical optimization is omnipotent.
For some inane reason, Github classifies me as a "major open source maintainer", which means I get a free copilot subscription.1 I've been using it for a...
The team and I are pumped to be back at Build with the developer community this year. Over the last year, Windows has continued to see incredible growth fueled by Windows 11 adoption. In fact, one of the mo
