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My class required AI
(Spoiler alert: it has been very successful, but there are some lessons to be learned)
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 789 posts.
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33TB of text data for a 1T-parameter model
Important: This page summarizes data scaling only, using tokens to parameters as a ratio, and as derived from large language models like GPT-3, Chinchilla, and beyond, linked to the Compute-Optimal scaling laws like Kaplan and Hoffmann/Chinchilla. Please note that compute scaling laws are outside the scope of my…
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A guide to prompting AI, for what it is worth
A little bit of magic, but mostly just practice
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We compete with GitHub. Bing does not show our website
A genuine question on why we are not getting indexed by Bing.
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RoboCat – A Self-Improving Robotic Agent
Robots are quickly becoming part of our everyday lives, but they’re often only programmed to perform specific tasks well. While harnessing recent advances in AI could lead to robots that could help in many more ways, progress in building general-purpose robots is slower in part because of the time needed to collect…
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New bioinspired robot flies, rolls, walks, and more
Developed at Caltech's Center for Autonomous Systems and Technologies, a new robot can autonomously choose from a variety of motions to move through a complex environment.
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Cloud GPU Resources and Pricing
Detailed comparison table of cloud GPU providers for deep learning.
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The RWKV language model: An RNN with the advantages of a transformer
I explain what is so unique about the RWKV language model.
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Intuitively Understanding Harris Corner Detector
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…
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OpenAI: Facts from a Weekend
Approximately four GPTs and seven years ago, OpenAI’s founders brought forth on this corporate landscape a new entity, conceived in liberty, and dedicated to the proposition that all men might live…
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SHOW-1 and Showrunner Agents in Multi-Agent Simulations
South Park AI is an example of how to generate high-quality episodic content through the use of showrunner agents in the simulation. #AI #simulation #multi-agent
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Remembering Doug Lenat and his quest to capture the world with logic
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.
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Refact Code LLM: 1.6B LLM for code that reaches 32% HumanEval
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.
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Remaking old computer graphics with AI image generation
Can AI Image generation tools make re-imagined, higher-resolution versions of old video game graphics? Over the last few days, I used AI image generation to reproduce one of my childhood nightmares. I wrestled with Stable Diffusion, Dall-E and Midjourney to see how these commercial AI generation tools can help retell…
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Free Dolly: First truly open instruction-tuned LLM
Introducing Dolly, the first open-source, commercially viable instruction-tuned LLM, enabling accessible and cost-effective AI solutions.
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Double neural bypass restores movement, sense of touch after paralysis
Using brain implants, artificial intelligence and novel stimulation technology, double neural bypass technology restores quadraplegic man’s sense of touch and movement.
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MetNet-3: A state-of-the-art neural weather model
Posted by Samier Merchant, Google Research, and Nal Kalchbrenner, Google DeepMind Forecasting weather variables such as precipitation, temperature,...
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Advocating for Open Models in AI Oversight: Stability AI's Letter to U.S. Senate
Stability AI emphasizes the importance of open models in a letter coinciding with the United States Senate hearing on AI oversight. Openness and transparency will improve safety, foster competition, and ensure strategic leadership in critical AI capabilities. Discover how open models can democratize
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ChatGPT for Robotics
We use ChatGPT to allow a user to intuitively control multiple robots such as drones, robot arms, home assistant robots using only language.
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Do large language models need all those layers?
Finding that 70% of attention heads and 20% of feed-forward networks can be excised with minimal effect on in-context learning suggests that large language models are undertrained.
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GPT-3 will ignore tools when it disagrees with them
Augmenting GPT-3 with tools is a popular technique right now. But is GPT-3 really using them?
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Mojo is now available on Mac
We released Mojo local download for Linux systems on September 7th, and in just over a month we’ve seen tens of thousands of downloads and amazing community projects such as llama.🔥and Infermo. We deeply value your feedback, as Mojicians, and we appreciate every single PR, feature request, and bug report.
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Most AI startups are doomed
Just because it matters doesn’t mean it’s defensible or profitable
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Reflected Diffusion Models
Diffusion models are trained to reverse a stochastic process through score matching. However, a lot of diffusion models rely on a small but critical implementation detail called thresholding. Thresholding projects the sampling process to the data support after each discretized diffusion step, stabilizing generation at…
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Teach your LLM to answer with facts, not fiction
Learn how to train LLM for accurate answers with VectorSQL which allows you to execute finely-grained vector searches to target and retrieve the required information
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Simulating History with ChatGPT
The Case for LLMs as Hallucination Engines