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Protecting customers with generative AI indemnification
Google Cloud assumes responsibility for potential legal risks of using our generative AI, offering indemnities for training data and generated output.
Top posts
Every blog post that took off on Hacker News, ranked by the votes of its best submission. 3,242 posts.
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Gmail can read your emails and attachments to train its AI, unless you opt out
Did you know that Gmail can use your emails and attachments for its smart features? Here's how to check your settings.
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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
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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.
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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…
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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.
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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…
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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.
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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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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.
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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.
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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.
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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.
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The Llama Ecosystem: Past, Present, and Future
The latest updates on the Llama ecosystem coming out of Meta Connect 2023
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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.
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Using aligned word vectors for instant translations with Python and Rust
How to use aligned word vectors from fastText to translate words from one language to another instantly.
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NanoClaw Adopts OneCLI Agent Vault
Every NanoClaw agent will access external services through OneCLI's Agent Vault, a gateway that handles credential injection, access policies, and approvals so agents never hold raw API keys.
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GPT-5.1 for Developers
GPT-5.1 is now available in the API, bringing faster adaptive reasoning, extended prompt caching, improved coding performance, and new apply_patch and shell tools.
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PyMC: Theano Is Dead, Long Live Theano
© 2020, The PyMC Development Team
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Building a State of the Art Bacterial Classifier with Fast.ai and Paperspace
In this post, we’re going to be demonstrating how to to build a state of the art Bacterial Classification model on Gradient using the Fast.ai machine learning library.
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AI Meets Cryptography 1: What AI Found in Cloudflare's Circl
We pointed our AI audit pipeline at Cloudflare's CIRCL experimental cryptography library and confirmed seven real bugs, from a critical float64 precision loss in threshold RSA to a complete access-control break in attribute-based encryption. All seven are now fixed upstream. This is the first post in a series on bugs…
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