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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.
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 673 posts.
602
Qwen1.5-110B
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD Introduction Recently we have witnessed a burst of large-scale models with over 100 billion parameters in the opensource community. These models have demonstrated remarkable performance in both benchmark evaluation and chatbot arena. Today, we release the first 100B+ model…
603
A new artificial intelligence tool for cancer
ChatGPT-like AI model can diagnose, guide treatment, predict survival for multiple cancer types
604
Models all the way down
LAION-5B is an open-source foundation dataset. It contains 5.8 billion image and text pairs—a size too large to make sense of. We follow the construction of the dataset to better understand its contents, implications and entanglements.
605
Anthropic: Expanding Access to Claude for Government
Claude 3 Haiku and Sonnet are now available in the AWS Marketplace for the US Intelligence Community and in AWS GovCloud.
606
Claude Computer Use – Is Vision the Ultimate API?
A deep dive into Anthropic’s new Computer Use API.
607
Viking 7B: open LLM for the Nordic languages trained on AMD GPUs
Silo AI is announcing the release of the first open LLM for the Nordic languages
608
An Open Course on LLMs, Led by Practitioners
A free survey course on LLMs, taught by practitioners.
609
Altman's Ambition
Sam Altman is not playing around.
610
Using the term 'AI' in product descriptions reduces purchase intentions
Companies may unintentionally hurt their sales by including the words “artificial intelligence” when describing their offerings that use the technology, according to a study led by WSU researchers.
611
Faking William Morris, Generative Forgery, and the Erosion of Art History
Buying fake William Morris prints on Etsy and other early signs of epistemological collapse
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INTELLECT–1: Launching the First Decentralized Training of a 10B Parameter Model
We're excited to launch INTELLECT-1, the first globally-distributed training run of a 10-billion-parameter model, inviting anyone to contribute compute and participate. This brings us one step closer towards open source AGI.
614
Turning the Tables on AI
How about using it not to think less but *more*?
615
Sam Altman Is Full of Shit
Note: In my last newsletter, I said that my next post would be the second part of my Facebook autopsy. Don’t worry, that’s still coming, but given the recent drama between Sam Altman, OpenAI, and Scarlett Johansson, I felt the need to write something. Don’t worry, I
616
I'm Bearish OpenAI
A shift toward products and a research brain drain should ring your alarm bells
617
Leveraging AI for efficient incident response
We’re sharing how we streamline system reliability investigations using a new AI-assisted root cause analysis system. The system uses a combination of heuristic-based retrieval and large language m…
618
SmolLM2
New from Loubna Ben Allal and her research team at Hugging Face: SmolLM2 is a family of compact language models available in three size: 135M, 360M, and 1.7B parameters. They …
619
Inversion: Fast, Reliable Structured LLMs
We create the world's fastest and most efficient AI.
620
Segment Anything Model and Friends
The Segment Anything Model (SAM) and its successors made a significant leap forward in computer vision, particularly in image and video segmentation. Along with SAM’s innovative approach to promptable segmentation, the literature rapidly evolved to address key challenges like computational efficiency and real-time…
621
An Intuitive Explanation of Sparse Autoencoders for LLM Interpretability
Sparse Autoencoders (SAEs) have recently become popular for interpretability of machine learning models (although sparse dictionary learning has been around since 1997). Machine learning models and LLMs are becoming more powerful and useful, but they are still black boxes, and we don’t understand how they do the…
622
In Response to Google
Google has chosen to send a response to my article to Barry Schwartz of Search Engine Roundtable. Here is my response. (1) On the March 2019 core update claim in the piece: This is baseless speculation. The March 2019 core update was designed to improve the quality of our search
623
Run Llama 2 uncensored locally
This post will give some example comparisons running Llama 2 uncensored model versus its censored model.
624
AI-Powered Nvidia RTX Video HDR Transforms Standard Video into HDR Video
RTX Video HDR — first announced at CES — is now available for download through the January Studio Driver.
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The "it" in AI models is the dataset
I’ve been at OpenAI for almost a year now. In that time, I’ve trained a lot of generative models. More than anyone really has any right to train. As I’ve spent these hours observing the effects of tweaking various model configurations and h
626
Quick takes on the recent OpenAI public incident write-up
OpenAI recently published a public writeup for an incident they had on December 11, and there are lots of good details in here! Here are some of my off-the-cuff observations: Saturation With thousa…
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OpenAI's comment to the NTIA on open model weights
OpenAI’s comment to the NTIA on open model weights This comment was submitted by OpenAI in response to NTIA’s March 2024 Request for Information on Dual-Use Foundation Models with Widely Available Weights.
628
AI-Implanted False Memories
We present three interconnected studies examining how artificial intelligence technologies can induce and amplify false memories in human subjects. Our re…
629
ML in Go with a Python Sidecar
Machine learning models are rapidly becoming more capable; how can we make use of these powerful new tools in our Go applications?
630
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.