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Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
Simple, unified interface to multiple Generative AI providers
A playbook for systematically maximizing the performance of deep learning models.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.
Natural Questions (NQ) contains real user questions issued to Google search, and answers found from Wikipedia by annotators. NQ is designed for the training and evaluation of automatic question ans…
TopicGPT: A Prompt-Based Framework for Topic Modeling (NAACL'24)
Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
An PyTorch implementation AlexNet.Simple, easy to use and efficient
An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.
DSPy: The framework for programming—not prompting—language models
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
TensorFlow code and pre-trained models for BERT