An overview of the current attack techniques on LLMs by Marcello Carboni.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
autoai is an open-source Python framework for automatic artificial intelligence focused on regression and classification tasks over numerical data. It automates model search, hyper-parameter tuning, and generates high-quality Jupyter Notebook code for resulting models.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
prompts.chat is a community platform for discovering, collecting and sharing AI prompts for ChatGPT, Claude, Gemini and other models. It is free and open source, and can be self-hosted for private deployments. An MCP-first API supports searching and discovering prompts programmatically.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.
Deploy and serve machine learnings models performantly, scalably, and cost-efficiently with Baseten.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
BigML is a machine learning platform for classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, topic modeling and principal component analysis. Models can be used for predictions through remote services or exported and embedded into applications. A three-day free trial gives access to all functionality.
BigModel provides machine-learning models, research, training resources, or evaluation tools.
bitnet.cpp is the official inference framework for 1-bit LLMs such as BitNet b1.58. It provides optimized kernels for inference of 1.58-bit models on CPU and GPU, with NPU support stated as coming next. The repository includes documentation and setup scripts, and the project is released under the MIT license.
Accessible large language models via k-bit quantization for PyTorch.
Blackbox AI provides machine-learning models, research, training resources, or evaluation tools.
A blog post describing a small library for building agents controlled by large language models, inspired by langchain. The agent is instructed by a prompt and runs in a loop of Thought, Action and Observation. Implemented tools include executing Python code in a REPL, Google search and Hacker News search.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Caffe is a deep learning framework developed by Berkeley AI Research and community contributors, designed with expression, speed, and modularity in mind. It is released under the BSD 2-Clause license and includes associated reference models.
Cal.ai provides machine-learning models, research, training resources, or evaluation tools.