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A visual book recommender
Recreating the used bookstore experience via contrastive learning, t-SNE, and 100M book reviews.
New
The latest blog posts to take off on Hacker News. 6,334 posts.
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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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Why did Google Brain exist?
This essay was originally written in December 2022 as I pondered the future of my job. I sat on it because I wasn’t sure of the optics of posting such an essay while employed by Google Brain. But then Google made my decision easier by laying me off in January. My severance check cleared, and last week, Brain and…
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A guide to prompting AI, for what it is worth
A little bit of magic, but mostly just practice
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Debugging a Mixed Python and C Language Stack
Debugging is difficult. Debugging across multiple languages is especially challenging, and debugging across devices often requires a team with varying skill sets and expertise to reveal the underlying…
3936
A non-technical explanation of deep learning
This document will explain what neural networks are and how they work, which will help you understand how AI and machine learning work. In the scenario below you'll play the part of the neural network.
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Transformers from Scratch (2021)
I procrastinated a deep dive into transformers for a few years. Finally the discomfort of not knowing what makes them tick grew too great for me. Here is that dive.
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The A.I. business influencer guys must be stopped
Please let's stop predicting the future of A.I.
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Double Descent in Human Learning
The uncanny resemblance between double descent and a 50 year old theory from psychology
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Squawk bots: Can generative AI lead us to understanding animals?
The Earth Species Project is using large language models to develop tools to decipher animal communication.
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Capturing the Flag with GPT-4
This weekend I went to BSides SF 2023 and had a blast. I went to some really interesting talks (including an excellent one about adversarial machine learning), but mostly I spent my time solving CTF hacking challenges. And this time, I did it with the help of GPT-4, the
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Bing Jail
A short story on how my website lost all indexed pages in Bing, affecting my presence in DuckDuckGo, secret blacklisting and classification as a splog by Bing AI
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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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Prompt engineering vs. blind prompting
"Prompt Engineering" emerged from the growth of language models to describe the process of applying prompting to effectively extract information from language models, typically for use in real-world applications.
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Finetuning Large Language Models
An introduction to the core ideas and approaches
3947
GitHub Copilot emits GPL code
Demonstrating that GitHub Copilot trains on non-permissive licenses and cannot filter suggestions properly, while Codeium avoids legal risk.
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Bard coding update with Colab exporting
Bard can now help with programming and software development tasks, across more than 20 programming languages.
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Large language models: Scaling laws and emergent properties
More details on the science of training large autoregressive language models.
3950
Building a ChatGPT-enhanced Python REPL
In this blog I share my experience in building a Python REPL augmented with ChatGPT. I explore how the application is built, and speculate on software engineering patterns and paradigms that might emerge in systems built on Large Language Models (LLMs). GEPL - Generate, Evaluate, Print, Loop Link to this section…
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Google DeepMind
DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity.
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Record labels panic as A.I. generated song becomes ‘hit single’
Welcome to the new world.
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How to train your own large language models
From raw code to a model serving users: the data pipelines, training infrastructure, and evaluation work behind Replit’s language models.
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Basic math related to computation and memory usage for transformers
We present basic math related to computation and memory usage for transformers
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StableLM: A new open-source language model
Stability AI's open-source Alpha version of StableLM showcases the power of small, efficient models that can generate high-performing text and code locally on personal devices. Discover how StableLM can drive innovation and open up new economic opportunities while supporting transparency and accessi
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NaturalSpeech 2: Zero-shot speech and singing synthesizers
Kai Shen*, Zeqian Ju*, Xu Tan*, Yanqing Liu, Yichong Leng, Lei He, Tao Qin, Sheng Zhao, Jiang Bian
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MRI brain images become 64M times sharper
MRI technology from Duke-led effort reveals the entire mouse brain in the highest resolution
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An example of LLM prompting for programming
Generated knowledge and chain of thought prompting of an LLM can generate useful code.
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Community Is the Future of AI
To keep knowledge open and accessible to all, we must come together to build the future of AI.