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Model Context Protocol Servers
Репозиторий измеряет качество Yandexgpt, Gigachat, T-Pro, Saiga, Vikhr, Ruadapt на популярных англоязычных бенчмарках: MGSM, MATH, HumanEval, MBPP, BBH, MMLU-Pro, GPQA
A lightweight, powerful framework for multi-agent workflows
📄 A curated list of awesome .cursorrules files
🔍🔄 Switch between search engines quickly
🤗 smolagents: a barebones library for agents that think in code.
🐢 Open-Source Evaluation & Testing for AI & LLM systems
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
LlamaIndex is the leading framework for building LLM-powered agents over your data.
ai-forever / gigachain
Forked from langchain-ai/langchain⚡ Набор решений для разработки LLM-приложений на русском языке с поддержкой GigaChat ⚡
Effective LLM Alignment Toolkit
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Official implementation of the ANLS* metric
Python package to make documents look like they were scanned
⬅️📽️ App inspired by Windows Recall for creating screenshots with text recognition and the ability to search through screenshots.
Pure Python 3 MTProto API Telegram client library, for bots too!
🔥Highlighting the top ML papers every week.
Rule-based token, sentence segmentation for Russian language
An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity
CoreNet: A library for training deep neural networks
LaTeX-шаблон пояснительной записки ФИТ НГУ
Links to Russian corpora + Python functions for loading and parsing
Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts) @ NAACL 2024
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk