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Gromozeka LLC
- Woodside, CA
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00:01
(UTC -07:00) - https://orcid.org/0009-0008-9038-8091
- @vsevolodl
- in/vsevolodleonov
- https://huggingface.co/vsevolodl
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The AI-native proxy server for agents. Arch handles the pesky low-level work in building agents like clariyfing vague user input, routing prompts to the right agents and unifying access to any LLM …
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
A Conversational Speech Generation Model
FlashML 8000 A: Efficient MLA decoding kernels
Collection of resources for RL and Reasoning
The easiest tool for fine-tuning LLM models, synthetic data generation, and collaborating on datasets.
A simplified implementation for experimenting with RLVR on GSM8K, This repository provides a starting point for exploring reasoning.
verl: Volcano Engine Reinforcement Learning for LLMs
Minimal reproduction of DeepSeek R1-Zero
A Self-adaptation Framework🐙 that adapts LLMs for unseen tasks in real-time!
SGLang is a fast serving framework for large language models and vision language models.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Agent Framework / shim to use Pydantic with LLMs
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
SWE-bench [Multimodal]: Can Language Models Resolve Real-world Github Issues?
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Start building LLM-empowered multi-agent applications in an easier way.
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
Simple, unified interface to multiple Generative AI providers