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Topics /
AI & Machine Learning
The most popular blog posts about ai & machine learning on Hacker News. 6,334 posts.
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ProfileGPT: An Example of AI Agents Collaboration Architecture
A dive into the architecture and design of ProfileGPT, an app that allows users to analyze their user's profile and personality as seen by ChatGPT to raise awareness about data usage.
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Scott Aaronson on Google’s new quantum-computing paper
MIT professor Scott Aaronson discusses new Google experiments that suggest the D-Wave computer exploits quantum phenomena.
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SpaCy PyTorch Transformers
Huge transformer models like BERT, GPT-2 and XLNet have set a new standard for accuracy on almost every NLP leaderboard. You can now use these models in spaCy, via a new interface library we've developed that connects spaCy to Hugging Face's awesome implementations.
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Grasp2Vec: Learning Object Representations from Self-Supervised Grasping
Posted by Eric Jang, Software Engineer, Robotics at Google and Coline Devin, Berkeley PhD Student and former Research Intern From a remarkably youn...
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When Greedy Algorithms Are Good Enough (2014)
Greedy algorithms are among the simplest and most intuitive algorithms known to humans. Their name essentially gives their description: do the thing that looks best right now, and repeat until nothing looks good anymore or you’re forced to stop. Some of the best situations in computer science are also when greedy…
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Deep Language Modeling for Question Answering Using Keras
Search BenchGecko research notes, methodology pages, benchmark sources, model rankings, pricing, compute, and company intelligence.
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A round-up of topology-based papers at ICML 2020
With this year’s International Conference on Machine Learning (ICML) being over, it is time to have another instalment of this series. Similar to last year’s post , I shall cover several papers that caught my attention because of their use of topological concepts—however, unlike last year, I shall not restrict the…
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Keras and deep learning on the Raspberry Pi
In this guide you'll learn how to perform real-time deep learning on the Raspberry Pi using Keras, Python, and TensorFlow.
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Deep Learning in Rust
Meta Edit 2/2/2016: I wrote this post when deeplearn-rs was only a week old. This is more of a journal post where I reflect on things. To…
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Notes on Cruise's Pedestrian Accident
This is a set of notes on the Quinn Emanuel report on Cruise's handling of the 2023-10-02 accident where a Cruise autonomous vehicle (AV) hit a pedestrian, stopped, and then started moving again with the pedestrian stuck under the bottom of the AV, dragging the pedestrian 20 feet. After seeing some comments about this…
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OpenAI GPT-4 vs. Groq Mistral-8x7B
A few months ago, we ran a benchmark on a traditional parser and Mistral 7B (Open Source LLM). The quality of the parsed result from Mistral 7B is quite impressive given it is only 7B parameters. One thing we weren't satisfied with is the processing time. Recently, I stumbled
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Nvidia's CUDA Monopoly
CUDA (Compute Unified Device Architecture) is a closed-source low-level API that interfaces software with NVIDIA GPUs.
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Stargate Norway
We’re launching Stargate Norway—OpenAI’s first AI data center initiative in Europe under our OpenAI for Countries program. Stargate is OpenAI’s overarching infrastructure platform and is a critical part of our long-term vision to deliver the benefits of AI to everyone.
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Why are coding agents so dumb?
Models are getting better and better, while the agents that drive them languish.
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Benchmarking TensorFlow on Nvidia GeForce RTX 3090
We benchmarked the deep learning performance of the latest NVIDIA RTX 3090 GPU.
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AI made coding more enjoyable
To me, one of the most annoying parts of software engineering is writing code that doesn’t require thinking. It’s just a typing exercise, and that’s boring.
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Claude Code feels like magic because it is iterative
Personal blog of Omar Abid
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LeoLM: German-Language LLM Research
We proudly introduce LeoLM ( L inguistically E nhanced O pen L anguage M odel), the first comprehensive suite of German-language Foundation Language Models t…
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The State of Serverless GPUs
Comprehensive guide to understand the Serverless GPU Inference landscape.
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Using Claude Code SDK to reduce E2E test time
Best of both worlds: Building an AI gatekeeper that knows exactly which tests to run for your code changes
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LLM Networking with MikroTik
I’ve been refraining from saying ‘vibe networking’ or ‘vibkrotik’ or some other abomination, but it is true - I have been using LLMs to setup a few networks these last few months, and things have generally gone over swimmingly.
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English as the new programming language for Apache spark
Discover the English SDK for Apache Spark, making data analytics more accessible with simple English instructions powered by Generative AI.
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The Neural Net Tank Urban Legend
AI folklore tells a story about a neural network trained to detect tanks which instead learned to detect time of day; investigating, this probably never happened.
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Building a Multi-Agent System from Scratch: Architecture Patterns
Orchestrator-worker, blackboard, and pipeline patterns for coordinating multiple AI agents — with the failure modes that only show up once you go past a single-agent demo.
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Text Classification by Data Compression
Edit – I posted this on Hackernews and got some valuable feedback. Many brought up the fact that you should be able to reuse the internal state of the compressor instead of recompressing the training …
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Bayesian statistics and machine learning: How do they differ?
My colleagues and I are disagreeing on the differentiation between machine learning and Bayesian statistical approaches. I find them philosophically distinct, but there are some in our group who would like to lump them together as both examples of machine learning. I have been favoring a definition for Bayesian…
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Train TensorFlow models faster and at lower cost on Cloud TPU Pods
TPUs provide a faster and more cost-effective way to train machine learning models. Learn more about the benefits of training models on Cloud TPU Pods.