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Starred repositories
🐫 CAMEL: Finding the Scaling Law of Agents. The first and the best multi-agent framework. https://www.camel-ai.org
BIRD-CRITIC 1.0: Can Large Language Models Solve USER SQL Issues in Real-World Database Applications?
This repo contains the source code for RULER: What’s the Real Context Size of Your Long-Context Language Models?
[ICLR 2025 Oral] Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows
LOFT: A 1 Million+ Token Long-Context Benchmark
Stanford NLP Python library for Representation Finetuning (ReFT)
提取微信聊天记录,将其导出成HTML、Word、Excel文档永久保存,对聊天记录进行分析生成年度聊天报告,用聊天数据训练专属于个人的AI聊天助手
𝔸𝕄𝔹ℝ𝕆𝕊𝕀𝔸: A Benchmark for Parsing Ambiguous Questions into Database Queries
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Code and data for "Lost in the Middle: How Language Models Use Long Contexts"
Code for paper Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
🔥🔥🔥AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.
This is a continuously updated handbook for readers to easily track the latest NL2SQL (Text-to-SQL) techniques in the literature and provide practical guidance for researchers and practitioners. If…
🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.
Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! 🦥
Enchanted is iOS and macOS app for chatting with private self hosted language models such as Llama2, Mistral or Vicuna using Ollama.
"LightRAG: Simple and Fast Retrieval-Augmented Generation"
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
Repository for "MultiHop-RAG: A Dataset for Evaluating Retrieval-Augmented Generation Across Documents" (COLM 2024)
Code and data for the publication "Structured information extraction from scientific text with large language models" by Dagdelen & Dunn et al.
lbnlp / nerre-llama
Forked from slee-lab/llama-recipesRepository for training LLaMa 2 models using the NERRE format.