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Machine Learning Is Still Too Hard for Software Engineers
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
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The latest blog posts to take off on Hacker News. 673 posts.
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Direct pixel-space megapixel image generation with diffusion models
Scalable high-resolution (megapixel) pixel-space image synthesis.
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Chrome experimental AI features
Three experimental generative AI features are coming to Chrome on Macs and Windows PCs to make browsing easier and more personalized.
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GPT-3.5 crashes when it thinks about useRalativeImagePath too much
Asking it to repeat "ponyuseRal ponyuseRal ponyuseRal pony" makes API requests fail
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Indexing iCloud Photos with AI Using LLaVA and Pgvector
A straightforward idea, gluing stuff together until it works, but it’s a glimpse of what’s possible with help of local AIs in near future
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Calculus on Computational Graphs: Backpropagation (2015)
Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten million times faster, relative to a naive implementation. That’s the difference between a model taking a week to train and taking 200,000…
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Linear transformers are faster after all
Our mission is to train a neural network to model all human output.
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AlphaGeometry: An Olympiad-level AI system for geometry
Our AI system surpasses the state-of-the-art approach for geometry problems, advancing AI reasoning in mathematics
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Stable Code 3B: Coding on the Edge
Stable Code, an upgrade from Stable Code Alpha 3B, specializes in code completion and outperforms predecessors in efficiency and multi-language support. It is compatible with standard laptops, including non-GPU models, and features capabilities like FIM and expanded context size.
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Web AI Model Testing: WebGPU, WebGL, and Headless Chrome
Discover our solutions for how to consistently automate browser testing and improve application performance.
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LeftoverLocals: Listening to LLM responses through leaked GPU local memory
We are disclosing LeftoverLocals: a vulnerability that allows recovery of data from GPU local memory created by another process on Apple, Qualcomm, AMD, and Imagination GPUs. LeftoverLocals impacts the security posture of GPU applications as a whole, with particular significance to LLMs and ML models run on impacted…
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On being listed as an artist whose work was used to train Midjourney
I’ve had Feeling Hard Or Hardly Feeling saved to my hard drive since 7-17-2005 without even knowing who made it. Just now bothered to find out.
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TinyML: Ultra-low power machine learning
Explanation of TinyML, what it is used for and the main techniques it uses
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Field experimental evidence of AI on knowledge worker productivity and quality
I think we have an answer on whether AIs will reshape work....
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Many AI safety orgs have tried to criminalize currently-existing open-source AI
<p>I've seen a few conversations where someone says something like this:</p> <blockquote> <p>I've been using an open-source LLM lately -- I'm a huge fan of not depending on OpenAI, Anthropic, or Google. But I'm really sad that the AI safety groups are trying to ban the kind of open-source LLM that I'm using.</p>…
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Coding Self-Attention, Multi-Head Attention, Cross-Attention, Causal-Attention
This article will teach you about self-attention mechanisms used in transformer architectures and large language models (LLMs) such as GPT-4 and Llama.
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Introduction to GPU Programming in Chapel
This post gives a beginner’s introduction to Chapel’s GPU programming features
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Building a fully local LLM voice assistant to control my smart home
I’ve had my days with Siri and Google Assistant. While they have the ability to control your devices, they cannot be customized and inherently rely on cloud services. In hopes of learning something new and having something cool I could use in my life, I decided I want better. The premises are simple: I want my new…
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Listening with LLM
Overview # This is the first part of many posts I am writing to consolidate learnings on how to finetune Large Language Models (LLMs) to process audio, with the eventual goal of being able to build and host a LLM able to describe human voices. I am motivated to gain hands-on experience tinkering LLMs so, as much as…
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Hidden Changes in GPT-4, Uncovered
The tool instructions in this article are not up to date as of 2024-01-12, see this post to learn more about the new tool OpenAI added to block conversations about U.S. elections using function calls.
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Autonomous trucking is harder than autonomous rideshare
Freeways were supposed to be easy. What happened?
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A supply chain attack on PyTorch
Security tends to lag behind adoption, and AI/ML is no exception. Four months ago, Adnan Khan and I exploited a critical CI/CD vulnerability in PyTorch, one of the world’s leading ML platform…
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Changes we're making to Google Assistant
Google Assistant will no longer support a number of underutilized features to focus on improving quality and reliability.
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The Wolfram Prompt Repository (2023)
Curated collection of prompts for use with LLMs. Accessible interactively in Chat Notebooks and programmatically in functions like LLMFunction. Initial categories in the Prompt Repository cover personas, functions, modifiers.
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The GPT Store
We’re launching the GPT Store to help you find useful and popular custom versions of ChatGPT.
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OpenAI and journalism
We support journalism, partner with news organizations, and believe The New York Times lawsuit is without merit.