The Best Alpaca Alternatives in 2026

Code and documentation to train Stanford's Alpaca models, and generate the data.

Stanford CoreNLP provides natural language analysis tools that process raw text into linguistic annotations.

This research paper presents Word-As-Image, a method for incorporating semantic meaning into typography.

The DeepSeek-R1 repository links to its reasoning research paper and provides related model materials.

The Stanford AI Index gathers data about artificial intelligence for researchers, policymakers, journalists, and the public.

Use SmolVLA, a vision-language-action model trained on data from the LeRobot community, for robotics research.

This paper presents NExT-Chat, a large multimodal model for chat, detection, and segmentation.

Stability AI’s StableLM repository contains its language models and related project materials.

The S4 repository presents structured state space sequence models for sequence modeling research.

Google Research introduced Imagen as a text-to-image diffusion model in this research paper.

The GLM-5 repository presents language models for agentic engineering and coding.

CLIPasso explores semantically aware object sketching as a research project.

Falcon LLM is described as a generative language model from the Technology Innovation Institute for a range of AI applications.

This repository accompanies research on improving language model factuality and reasoning through multi-agent debate.

This repository contains Google Research code for the Flan-T5 language model project.

Muse is a text-to-image model that also supports editing images through its generative transformer approach.

The ERNIE blog announces model releases and shares information about training and evaluation results.

This timeline documents developments in AI image and video generation models.

Bittensor is an open machine intelligence network where subnets produce digital commodities such as compute and inference, with contributors earning TAO.

Point·E is a research project that generates 3D point clouds using diffusion models.

The learn2learn library supports meta learning experiments and research with PyTorch.

MobiLlama is a small language model designed for edge devices, according to its repository description.

Moonshot AI develops the Kimi K2 large language model series and publishes its source repository.

This repository contains the DeepSeek-V3 language model project and related source files.