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PostgreSQL and VLLM (OpenAI) Chat Interface Functions
Set of tools to assess and improve LLM security.
Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
PyTorch native quantization and sparsity for training and inference
Scaling is a distributed training library and installable dependency designed to scale up neural networks, with a dedicated module for training large language models.
Second Level MetaCognition Controlling Agent for LLAMA-3.1 over VLLM (Or OpenAI or whatever)
Efficient Triton Kernels for LLM Training
Code to create bugged python scripts for OpenAssistant Training, maintained by https://twitter.com/Cyndesama
Collaborative Training of Large Language Models in an Efficient Way
Minimalistic large language model 3D-parallelism training
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
An open collection of methodologies to help with successful training of large language models.
Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI
An open collection of implementation tips, tricks and resources for training large language models
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
A compact LLM pretrained in 9 days by using high quality data
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.
A suite of test scenarios for multi-agent reinforcement learning.
Graph-based LLM power tool for exploring many completions in parallel.
Simple way to manage your remote machines and SSH keys
A vector search SQLite extension that runs anywhere!
Directly Connecting Python to LLMs via Strongly-Typed Functions, Dataclasses, Interfaces & Generic Types
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Toolkit for creating, sharing and using natural language prompts.
The YAGO version that integrates the Wikidata taxonomy