Multi-Modal Models
Being able to work with data of different modalities (text, images, videos, audio, etc.) is essential for AI to operate in the real world. [link]
GPT-4 is a large multimodal model (accepting image and text inputs, emitting text outputs) that, while less capable than humans in many real-world scenarios, exhibits human-level performance on various professional and academic benchmarks.
AI is evolving faster than a human child, are you excited or scared? I’ve been to several AI hackathons this year, each event the AI tools quickly become more powerful. Earlier this year; the projects were only calling GPT for text generation. This weekend, the
@tedai AI Hackathon proejcts could:
-see with computer vision
-hear with audio to text
-talk with 11 labs
-create art
-compose music
-translate language
-transpose into other modalities
-code apps
-think with foundational models
AI agents
Generative AI in education
The true potential of generative AI and large language models remains underexplored in academia. These technologies may offer more than just answers. Here’s how the insights they offer could revolutionise academic search and discovery
Generative Video
Generative design of physical objects
Generative design is a design exploration process. Designers or engineers input design goals into the generative design software, along with parameters such as performance or spatial requirements, materials, manufacturing methods, and cost constraints. The software explores all the possible permutations of a solution, quickly generating design alternatives. It tests and learns from each iteration what works and what doesn’t.
