Pao Ramen
A publication about technology and other thoughts
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Reflect, Retry, Reward: Self-Improving LLMs via Reinforcement Learning
arxiv.org ⎯ We explore a method for improving the performance of large language models through self-reflection and reinforcement learning. By incentivizing the model to generate better self-reflections when it answers incorrectly, we demonstrate that a model’s ability to solve complex, verifiable tasks can be enhanced even when generating synthetic data is infeasible and only binary feedback is available. Our framework operates in two stages: first, upon failing a given task, the model generates a self-reflective commentary analyzing its previous attempt; second, the model is given another attempt at the task with the self-reflection in context. If the subsequent attempt succeeds, the tokens generated during the self-reflection phase are rewarded. Our experimental results show substantial performance gains across a variety of model architectures, as high as 34.7% improvement at math equation writing and 18.1% improvement at function calling. Notably, smaller fine-tuned models (1.5 billion to 7 billion parameters) outperform models in the same family that are 10 times larger. Our novel paradigm is thus an exciting pathway to more useful and reliable language models that can self-improve on challenging tasks with limited external feedback.bookmark
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Search Params Are State | TanStack Blog
tanstack.com ⎯ Search Params Are State — Treat Them That Way Search params have been historically treated like second-class state. They’re global, serializable, and shareable — but in most apps, they’re still hacked…bookmark
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Building a 1.5M Word Semantic Network for Language Games
www.inotherwords.app ⎯ Discover how we mapped 1.5 million English words into a navigable semantic network where any two words connect in 6-7 hops, enabling innovative word games and linguistic exploration.bookmark -
Introducing NLWeb: Bringing conversational interfaces directly to the web - Source
news.microsoft.com ⎯ Today Microsoft is introducing NLWeb, an open project designed to simplify the creation of natural language interfaces for websites—making it easy to turn any site into an AI-powered app. Learn more about the technology and how web publishers can get started below.bookmark
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Fiberplane - Collaborative Notebooks for debugging your infrastructure
fiberplane.com ⎯ Increase DevOps productivity and improve the way you debug your infrastructure. Try it for free!bookmark
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Sakana AI
sakana.ai ⎯ The Darwin Gödel Machine: AI that improves itself by rewriting its own codebookmark
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Categories Are Connections
intertwingled.org ⎯ As I work on Natural Information Architecture, I’m sharing notes and quotes from my sources of inspiration and provocation. As always, your questions and suggestions are welcome.bookmark
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A poor man’s types
blog.snork.dev ⎯ Commentsbookmark -
GitHub - tanelpoder/catbench: CatBench Vector Search Playground
github.com ⎯ CatBench Vector Search Playground. Contribute to tanelpoder/catbench development by creating an account on GitHub.bookmark
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Be irritable
www.jeetmehta.com ⎯ Commentsbookmark -
A Measured Response to Bentham’s Bulldog
maximumeffort.substack.com ⎯ On Fine-Tuning, Bayesian Theism, and a Humble Request for a Well-Defined Sigma Algebra.bookmark
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Kafka: The End of the Beginning
materializedview.io ⎯ A decade of focus on adoption has payed off. Now it's time to innovate.bookmark
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Introduction
naturalnode.github.io ⎯ Natural is a Javascript library for natural language processingbookmark
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Unsupervised Keyphrase Extraction with PatternRank
towardsdatascience.com ⎯ Using pretrained transformer language models and part of speech for state-of-the-art keyphrase extractionbookmark
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Accelerating JavaScript arrays by 10x for Vector Search 🏹
ashvardanian.com ⎯ You’ve probably heard about AI a lot this year. Lately, there’s been talk about something called Retrieval Augmented Generation (RAG). Unlike a regular chat with ChatGPT, RAG lets ChatGPT search through a database for helpful information. This makes the conversation better and the answers more on point. Usually, a Vector Search engine is used as the database. It’s good at finding similar data points in a big pile of data. These data points are often at least 256-dimensional, meaning they have many Number-s. If you use JavaScript, you might wonder whether to use the built-in Array type or the more specialized TypedArray for this job.bookmark
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From Precision to Perception: User-Centred Evaluation of Keyword Extraction Algorithms for Internet-Scale Contextual Advertising
arxiv.org ⎯ \tnotemarkbookmark -
Taskmaster AI - The PM for your AI agentTaskmaster AI - The PM for your AI agentTaskmaster AI
www.task-master.dev ⎯ Taskmaster AI - The PM for your AI agentbookmark