This paper investigates Reinforcement Learning (RL) on data without explicit labels for reasoning tasks in Large Language Models (LLMs). The core challenge of the problem is reward estimation...

This guide describes how to best integrate an AI agent into Linear. It includes implementation guidelines on how to design an experience that feels native to Linear’s workflows and interaction patterns.

excessive or servile flattery

Your Intelligent Canvas. Every creative AI tool, thoughtfully connected.

We use AI to simulate entire human societies. Founded in 2024 by James He and Patrick Sharpe, Artificial Societies has 3 employees based in San Francisco, CA, USA.

Predict human behavior with artificial societies

Pocket Flow: 100-line LLM framework. Let Agents build Agents! - The-Pocket/PocketFlow

Contribute to Brayden/multiplex-ws development by creating an account on GitHub.

Fast State-of-the-Art Static Embeddings. Contribute to MinishLab/model2vec development by creating an account on GitHub.

For years I’ve wanted to build a super-dense electronic-music compressor: keep only the loops and phase cues that really matter, then re-synthesise the track perfectly. Evenings and weekends, however, were never long enough to design the model, write the…

A collection of neobrutalism-styled components based on shadcn/ui.

I’ve observed thousands of founders and thought a lot about what it takes to make a huge amount of money or to create something important. Usually, people start off wanting the former and end up...

Large Language Models (LLMs) have demonstrated remarkable prowess in generating contextually coherent responses, yet their fixed context windows pose fundamental challenges for maintaining...

The randomness of LLM outputs is controlled by a parameter known as "temperature." A higher temperature increases randomness, while a lower temperature produces “more deterministic” outputs.

It’s well-known at this point that GPT-4/GPT-3.5-turbo is non-deterministic, even at temperature=0.0. This is an odd behavior if you’re used to dense decoder-only models, where temp=0 should imply greedy sampling which should imply full determinism, because…

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

In this post, we present an LLM migration paradigm and architecture, including a continuous process of model evaluation, prompt generation using Amazon Bedrock, and data-aware optimization. The solution evaluates the model performance before migration and…

The increase in the dimensionality of neural embedding models has enhanced the accuracy of semantic search capabilities but also amplified the computational demands for Approximate Nearest...