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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A curated list of foundation models for vision and language tasks
| Date | Stars |
|---|---|
| 2026-07-31 | 1171 |
| 2026-08-05 | 1172 |
| 2026-08-06 | 1172 |
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# Awesome-Foundation-Models [](https://awesome.re) A foundation model is a large-scale pretrained model (e.g., BERT, DALL-E, GPT-3) that can be adapted to a wide range of downstream applications. This term was [first popularized](https://crfm.stanford.edu) by the Stanford Institute for Human-Centered Artificial Intelligence. This repository maintains a curated list of foundation models for vision and language tasks. Research papers without code are not included. ## Survey ### 2024 * [Language Agents](https://www.proquest.com/docview/3066609040?pq-origsite=gscholar&fromopenview=true&sourcetype=Dissertations%20&%20Theses) (from Princeton Shunyu Yao's PhD thesis. [Blog1](https://princeton-nlp.github.io/language-agent-impact/), [Blog2](https://lilianweng.github.io/posts/2023-06-23-agent/)) * [A Systematic Survey on Large Language Models for Algorithm Design](https://arxiv.org/abs/2410.14716) (from City Univ. of Hong Kong) * [Image Segmentation in Foundation Model Era: A Survey](https://arxiv.org/abs/2408.12957) (from Beijing Institute of Technology) * [Towards Vision-Language Geo-Foundation Model: A Survey](https://arxiv.org/pdf/2406.09385) (from Nanyang Technological University) * [An Introduction to Vision-Language Modeling](https://arxiv.org/abs/2405.17247) (from Meta) * [The Evolution of Multimodal Model Architectures](https://arxiv.org/pdf/2405.17927) (from Purdue University) * [Efficient Multimodal Large Language Models: A Survey](https://arxiv.org/pdf/2405.10739) (from Tencent) * [Foundation Models for Video Understanding: A Survey](https://arxiv.org/abs/2405.03770) (from Aalborg University) * [Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond](https://arxiv.org/abs/2405.03520) (from GigaAI) * [Prospective Role of Foundation Models in Advancing Autonomous Vehicles](https://arxiv.org/pdf/2405.02288) (from Tongji University) * [Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey](https://arxiv.org/pdf/2403.14608) (from Northeastern University) * [A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models](https://arxiv.org/abs/2402.17177v2) (from Lehigh) * [Large Multimodal Agents: A Survey](https://arxiv.org/abs/2402.15116) (from CUHK) * [The Uncanny Valley: A Comprehensive Analysis of Diffusion Models](https://arxiv.org/pdf/2402.13369.pdf) (from Mila) * [Real-World Robot Applications of Foundation Models: A Review](https://arxiv.org/pdf/2402.05741.pdf) (from University of Tokyo) * [From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities](https://arxiv.org/pdf/2401.15071.pdf) (from Shanghai AI Lab) * [Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey](https://arxiv.org/pdf/2312.10163) (from JHU) ### Before 2024 * [Foundational Models in Medical Imaging: A Comprehensive Survey and Future Vision](https://arxiv.org/pdf/2310.18689.pdf) (from SDSU) * [Multimodal Foundation Models: From Specialists to General-Purpose Assistants](https://arxiv.org/pdf/2309.10020.pdf) (from Microsoft) * [Towards Generalist Foundation Model for Radiology](https://arxiv.org/pdf/2308.02463.pdf) (from SJTU) * [Foundational Models Defining a New Era in Vision: A Survey and Outlook](https://arxiv.org/pdf/2307.13721.pdf) (from MBZ University of AI) * [Towards Generalist Biomedical AI](https://arxiv.org/pdf/2307.14334.pdf) (from Google) * [A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models](https://arxiv.org/pdf/2307.12980.pdf) (from Oxford) * [Large Multimodal Models: Notes on CVPR 2023 Tutorial](https://arxiv.org/pdf/2306.14895.pdf) (from Chunyuan Li, Microsoft) * [A Survey on Multimodal Large Language Models](https://arxiv.org/pdf/2306.13549.pdf) (from USTC and Tencent) * [Vision-Language Models for Vision Tasks: A Survey](https://arxiv.org/pdf/2304.00685.pdf) (from Nanyang
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Yuma Ichikawa · Fujitsu Limited · Japan
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Jack · Imperial College London · United Kingdom
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7847ecf71b8d3a64, topic:large-language-models, topic:foundation-models