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Testing Generative AI for Circuit Board Design
An article studying the use of LLMs fror designing circuit boards
New
The latest blog posts to take off on Hacker News. 673 posts.
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Generating audio for video
Video-to-audio research uses video pixels and text prompts to generate rich soundtracks
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Claude 3.5 Sonnet
Introducing Claude 3.5 Sonnet—our most intelligent model yet. Sonnet now outperforms competitor models and Claude 3 Opus on key evaluations, at twice the speed.
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20x Faster Background Removal in the Browser Using ONNX Runtime with WebGPU
Using ONNX with WebGPU and WebAssembly leads to 20x speedup over multi-threaded and 550x speedup over single-threaded CPU performance. Learn how.
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AI-powered conversion from Enzyme to React Testing Library
Update (October 2024): In response to numerous requests from external developers, we have open-sourced a version of our Enzyme to React Testing Library (RTL) conversion tool. You can now find it on npm, along with detailed instructions on how to integrate and use it in your projects. In the world of frontend…
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Please don't mention AI again
The recent innovations in the AI space, most notably those such as GPT-4, obviously have far-reaching implications for society, ranging from the utopian eliminating of drudgery, to the dystopian damage to the livelihood of artists in a capitalist society, to existential threats to humanity itself.
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Large language model data pipelines and Common Crawl
This article provides a short introduction to the pipeline used to create the data to train large language models (LLMs) such as LLaMA using Common Crawl (CC).
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3D Gaussian Splatting as Markov Chain Monte Carlo
Novel view reconstructions for (right) our method and (left) conventional 3D Gaussian Splatting with random initializations. Our method, even with random initialization, faithfully reconstructs the scene (e.g.. buildings at the back and the ground texture) providing much higher quality renderings.
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Sharing new research, models, and datasets from Meta FAIR
Meta FAIR is releasing several new research artifacts. Our hope is that the research community can use them to innovate, explore, and discover new ways to apply AI at scale.
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Satellites Spotting Ships
Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...
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Every Way to Get Structured Output from LLMs
A survey of every framework for extracting structured output from LLMs, and how they compare.
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Getting 50% (SoTA) on Arc-AGI with GPT-4o
You can just draw more samples
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LLM that can call multiple tool APIs with one request
Learn about Cohere models' ability to perform multi-step tasks, enhancing productivity and efficiency.
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Maintaining large-scale AI capacity at Meta
Meta is currently operating many data centers with GPU training clusters across the world. Our data centers are the backbone of our operations, meticulously designed to support the scaling demands …
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AI for math resources, and erdosproblems.com
This post contains two unrelated announcements. Firstly, I would like to promote a useful list of resources for AI in Mathematics, that was initiated by Talia Ringer (with the crowdsourced assistan…
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Perplexity AI is lying about their user agent
Perplexity AI claims it sends a user agent and respects robots.txt but it absolutely does not
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Tesla's FSD – A Useless Technology Demo
In the past months, Tesla has been offering a free, one-month trial of their full self-driving (FSD) system to all current owners. It looks like they are rolling this out in stages, because I only got mine only a few days ago.
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Making my local LLM voice assistant faster and more scalable with RAG
If you read my previous blog post, you probably already know that I like my smart home open-source and very local, and that certainly includes any voice assistant I may have. If you watched the video demo, you have probably also found out that it’s… slow. Trust me, I did too. Prefix caching helps, but it feels like…
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Microsoft's Recall AI feature is now indefinitely delayed
Update Oct. 31, 2024: We are committed to delivering a secure and trusted experience with Recall. We recently shared updates to the security and privacy architecture for Recall in a
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Turning the Tables on AI
How about using it not to think less but *more*?
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Nemotron-4-340B
Nemotron-4 340B, a family of models optimized for NVIDIA NeMo and NVIDIA TensorRT-LLM, includes cutting-edge instruct and reward models, and a dataset for generative AI training.
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Cost of self hosting Llama-3 8B-Instruct
Blog posts from the lytix team
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A look at Apple's technical approach to AI including core model performance etc.
Apple Intelligence makes a lot of sense when you get out of the AI bubble. Plus, the cool technical details Apple shared about their language models "thinking different."
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New algorithm discovers language just by watching videos
Mark Hamilton, an MIT PhD student in electrical engineering and computer science and affiliate of MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL), wants to use machines to understand how animals communicate. To do that, he set out first to create a system that can learn human language “from…
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AMD's MI300X Outperforms Nvidia's H100 for LLM Inference
There has been much anticipation around AMD's flagship MI300X accelerator. With unmatched raw specs, the pressing question remains: Can it outperform NVIDIA's Hopper architecture in real-world AI workloads? We have some exciting early results to share. For the past month, TensorWave and MK1 have worked closely to…
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How Meta trains large language models at scale
As we continue to focus our AI research and development on solving increasingly complex problems, one of the most significant and challenging shifts we’ve experienced is the sheer scale of co…
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How Alexa dropped the ball on being the top conversational system
I discuss why Alexa missed the opportunity to take the lead and become the dominant player in the conversational AI market.
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Mistral AI raises $640M at $6B valuation
Today, we are excited to triple down on our partnership with Mistral AI by co-leading their €600M Series B round.