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Automated vulnerability discovery and annotation
A reading list on LLM based Synthetic Data Generation 🔥
An AI web browsing framework focused on simplicity and extensibility.
DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
The official gpt4free repository | various collection of powerful language models
A distributed, extensible, secure solution for evaluating machine generated code with unit tests in multiple programming languages.
A utility to inspect, validate, sign and verify machine learning model files.
A native PyTorch Library for large model training
🧠 Starter templates for doing interpretability research
3cb: Catastrophic Cyber Capabilities Benchmarking of Large Language Models
Automate browser-based workflows with LLMs and Computer Vision
🎨 Diagram as Code for prototyping cloud system architectures
Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.
Fast and accurate automatic speech recognition (ASR) for edge devices
A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
Augment Swarm with durable execution to help you build reliable and scalable multi-agent systems.
Efficient Triton Kernels for LLM Training
A domain-specific probabilistic programming language for reasoning about reasoning
Arrakis is a library to conduct, track and visualize mechanistic interpretability experiments.
Best practices & guides on how to write distributed pytorch training code
For paper "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. Accepted by …
A bibliography and survey of the papers surrounding o1