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We’re on a journey to advance and democratize artificial intelligence through open source and open science.
An LLM trained only on data from certain time periods to reduce modern bias - haykgrigo3/TimeCapsuleLLM
Devpost powers hackathons and app contests around the world. Sign up to make new friends, explore new APIs / tech, and win prizes & recognition.
5050 helps great scientists and engineers start and build deep tech startups.
Run Claude Code on OpenAI models. Contribute to JayZeeDesign/claude-code-proxy development by creating an account on GitHub.
Ultracite is a zero- config Biome preset that provides a robust linting and formatting experience for your team and your AI integrations.
AI’s query engine - Platform for building AI that can answer questions over large scale federated data. - The only MCP Server you’ll ever need - mindsdb/mindsdb
The most reliable, powerful, and flexible PaaS, because we deploy to your AWS. No black box, lock-in, or AWS markups.
Extend your agent’s capabilities with Model Context Protocol servers.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Grok 4 is xAI’s latest reasoning model with a 256k context window. It supports parallel tool calling, structured outputs, and both image and text inputs. Run Grok 4 with API
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible) - BoundaryML/baml
The v0 Platform API enables developers to programmatically generate, retrieve, and manage full stack web apps using RESTful endpoints and TypeScript SDK. Integrate v0 into your workflows, tools, or automation pipelines.
Every time you use a computer, the cache is working to ensure your experience is fast.
Friday is your AI-powered coding agent that handles PRs from start to finish. Code with Friday, get a headstart on projects, and boost developer productivity with automated pull requests and GitHub integration.
It’s an old joke in the DJ community about upcoming artists having a bad reputation for pushing the audio signal into the red. Red is bad because it results in the audio signal being clipped and the mix sounding muddy. It’s a good analogy that applies to software engineers in the future, however, as these LLMs have context windows. Claude 3.7’s advertised context window is 200k, but I’ve noticed that the quality of output clips at the 147k-152k mark. Regardless of which agent is used, when cli
Interoperability between input formats of various LLMs, with observability, error handling, etc. built in. - supermemoryai/llm-bridge
Retrieval-Augmented Generation (RAG) has shown promise in enhancing recommendation systems by incorporating external context into large language model prompts. However, existing RAG-based approaches often rely on static retrieval heuristics and fail to capture nuanced user preferences in dynamic recommendation scenarios. In this work, we introduce ARAG, an Agentic Retrieval-Augmented Generation framework for Personalized Recommendation, which integrates a multi-agent collaboration mechanism into the RAG pipeline. To better understand the long-term and session behavior of the user, ARAG leverages four specialized LLM-based agents: a User Understanding Agent that summarizes user preferences from long-term and session contexts, a Natural Language Inference (NLI) Agent that evaluates semantic alignment between candidate items retrieved by RAG and inferred intent, a context summary agent that summarizes the findings of NLI agent, and an Item Ranker Agent that generates a ranked list of recommendations based on contextual fit. We evaluate ARAG accross three datasets. Experimental results demonstrate that ARAG significantly outperforms standard RAG and recency-based baselines, achieving up to 42.1% improvement in NDCG@5 and 35.5% in Hit@5. We also, conduct an ablation study to analyse the effect by different components of ARAG. Our findings highlight the effectiveness of integrating agentic reasoning into retrieval-augmented recommendation and provide new directions for LLM-based personalization.
Say goodbye to slow, clunky containers and VMs. The fast, light, and easy way to run containers and Linux. Develop at lightspeed with our Docker Desktop alternative.
Contribute to chrishayuk/mcp-cli development by creating an account on GitHub.
Bare metal to production ready in mins; your own fly server on your VPS. - MightyMoud/sidekick
Jake Gold tests how well 90s-era CGI works today, using a Go + SQLite CGI program running on a 16-thread AMD 3700X. Using CGI on modest hardware, it’s possible to …
Real-time AI cost tracking in your macOS menu bar. Supports Cursor, OpenAI, Anthropic & more. Free & Open Source.
