Multimodal Foundation Models: From Specialists to General-Pu...

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

A survey paper that investigates the taxonomy and evolution of multimodal foundation models, focusing on their transition from specialized models to general-purpose assistants in computer vision and vision-language domains.

arxiv.org

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Multi-Modal Chatbot

In this guide, you will build a multi-modal AI-chatbot capable of understanding both images and PDFs.

Multi-modal refers to the ability of the chatbot to understand and generate responses in multiple formats, such as text, images, PDFs, and videos. In this example, we will focus on sending images and PDFs and generating text-base... See more

Multi-Modal Chatbot

A Survey on Large Language Model based Autonomous Agents

The paper surveys large language model-based autonomous agents, discussing their construction, applications across various domains, and evaluation strategies, while proposing a unified framework and identifying future research directions.

arxiv.org

If all of these research ambitions were to come to fruition, the resulting system would be a very early version of the system that we envisioned in the introduction. That is, the resulting system would be able to provide domain expert answers to a wide range of information needs in a way that neither modern IR systems, question answering systems, o... See more

Donald Metzler • Rethinking Search: Making Domain Experts out of Dilettantes

Huge “foundation models” are turbo-charging AI progress

economist.com

carefully structured hybrid models with strong, innate foundations that allow systems to learn new things at a conceptual and causal level; systems that can learn theories, and not just isolated facts.

Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust

LLMs struggle with challenges like the compositionality gap (Measuring and Narrowing the Compositionality Gap in Language Models by Ofir Press and colleagues; 2023). This means LLMs cannot connect inferences or adapt responses to new situations. Overcoming these obstacles requires augmenting LLMs with techniques that add true comprehension.

Multi-Modal Chatbot

A Survey on Large Language Model based Autonomous Agents

Donald Metzler • Rethinking Search: Making Domain Experts out of Dilettantes

Huge “foundation models” are turbo-charging AI progress

Ernest Davis • Rebooting AI: Building Artificial Intelligence We Can Trust

Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs