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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
Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
5702
What objective is reasoning solving?
Reasoning as pathfinding in token space.
5703
How Quid uses deep learning with small data
Enhance your consumer & market intelligence knowledge with our resource library. Discover the role of Generative AI in transforming the digital landscape.
5704
A Sober Look at Bayesian Neural Networks
by Carles Gelada and Jacob Buckman WARNING: This is an old version of this blogpost, and if you are a Bayesian, it might make you angry. Click here for an updated post with the same content. Context: About a month ago Carles asserted on Twitter that Bayesian Neural Networks make...
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Noise cancellation improves turn-taking for AI Voice Agents
Turn-Taking is a big challenge AI Voice Agents are rapidly evolving, powering critical use-cases such as customer support automation, virtual assistants, gaming, and remote collaboration platforms. For these voice-driven interactions to feel natural and practical, the underlying audio pipeline must be resilient to…
5706
Ultrathink is a Claude Code magic word
Extensive new documentation from Anthropic on how to get the best results out of their Claude Code CLI coding agent tool, which includes this fascinating tip: We recommend using the …
5707
OpenAI Supporters
Stay up to speed on the rapid advancement of AI technology and the benefits it offers to humanity.
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Inferring Algorithmic Patterns with Stack
At Meta, research permeates everything we do. We believe the most interesting research questions are derived from real world problems.
5710
Announcing tools for the AI-driven digital transformation
Artificial Intelligence (AI) has emerged as one of the most disruptive forces behind the digital transformation of business. Today, at Microsoft Ignite 2017, as we engage in conversations about digital transformation with over 25,000 customers and partners, I am pleased to share some of our latest and most exciting…
5711
Creating AI assistant with GPT and Ruby and Redis using embeddings
How we are now leveraging embeddings and vector databases to generate prompts for ChatGPT.
5712
A PyTorch Approach to ML Infrastructure
Distribute and run AI workloads on Kubernetes magically in Python, like PyTorch for ML infra. - run-house/kubetorch
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How big are our embeddings now and why?
Embedding sizes and architectures have changed remarkably over the past 5 years
5715
How the Winning Tron Bot Works
[ Update 8/2/2011 : you can play against a dumbed-down Javascript version of the bot here .]
5716
Faster R-CNN: Down the rabbit hole of modern object detection
In this post, I'll explain the architecture of Faster R-CNN, starting with a high level overview, and then go over the details for each of the components. You'll be introduced to base networks, anchors as well as the region proposal network.
5717
An Open Course on LLMs, Led by Practitioners
A free survey course on LLMs, taught by practitioners.
5718
Leaked Google document: “We Have No Moat, And Neither Does OpenAI”
SemiAnalysis published something of a bombshell leaked document this morning: Google “We Have No Moat, And Neither Does OpenAI”. The source of the document is vague: The text below is …
5719
I played 1k hands of online poker and built a web app with Cursor AI
In the last two weeks I spent over a dozen hours playing poker, primarily online at pokerstarsmi.com, and live at a local casino. You can view the last 1,000 hands I played here: https://poker.rchase.com I spent at least as much time reviewing my hands with
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The AI Demand Bubble
If you liked this piece, you should subscribe to my premium newsletter. It's $70 a year, $18 a quarter, or $7 a month, and in return you get a weekly newsletter that’s usually anywhere from 10,000 to 18,000 words, including vast, detailed analyses of NVIDIA, Anthropic
5721
Using A.I. to decode communication of sperm whales
David Gruber wants to know what sperm whales are saying. He thinks it might actually be possible.
5722
20B-parameter Alexa model sets new marks in few-shot learning
With an encoder-decoder architecture — rather than decoder only — the Alexa Teacher Model excels other large language models on few-shot tasks such as summarization and machine translation.
5723
Side-by-side comparison of how AI models answer moral dilemmas
Explore how 20 leading AI models respond to tough ethical, social, and political questions. See how their answers compare to each other and to you.
5724
58% of US adults have heard of ChatGPT; 14% have tried it
Just 14% of all U.S. adults say they have used ChatGPT for entertainment, to learn something new, or for their work.
5725
My university uses prompt injection to catch cheaters
Web developer and cybersecurity researcher
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What Happened to Piracy? Copyright Enforcement Fades as AI Giants Rise
"Laws are spider webs through which the big flies pass and the little ones get caught." -Balzac
5728
Three-eyed forehead in Stable Diffusion
Computers, Machine Learning and non-machine learning
5729
The Llama Ecosystem: Past, Present, and Future
The latest updates on the Llama ecosystem coming out of Meta Connect 2023
5730
TPU v4 provides exaFLOPS-scale ML with efficiency gains
A new paper describes how Google’s Cloud TPU v4 outperforms TPU v3 by 2.1x on a per-chip basis, and improves performance/Watt by 2.7x.