AI research

Summary The Trillion Parameter Consortium aims to train massive, interdisciplinary AI models for science. Founding members include leading research institutions, national supercomputing centres, and companies. A global consortium of scientists from federal laboratories, research institutes, academia, and industry has come together to advance AI models for scientific discovery – with a particular focus on giant …

global scientists join forces for AI breakthroughs Read More »

Summary OpenAI’s GPT-4 Turbo can process 16 times more tokens simultaneously than the original GPT-4 in ChatGPT. This feature comes with a big “but” though. GPT-4 Turbo can process up to 100,000 words (128,000 tokens) or 300 pages of a standard book at once. The previous GPT-4 model in ChatGPT could only handle 8,000 tokens, …

GPT-4 Turbo’s best new feature doesn’t work very well Read More »

Summary Microsoft introduces ‘Everything of Thought’, which can integrate external domain knowledge and produce much more reliable reasoning in language models. Complex prompt engineering methods generally aim to make large language models more reliable in their reasoning. From simpler methods such as chain-of-thought prompting to more complex methods such as tree-of-thought prompting, they attempt to …

Microsoft’s XOT improves LLM’s ability to generalize Read More »

Summary Can OpenAI’s GPT-4 Vision improve autonomous driving? Chinese researchers have put the vision language model on the road, so to speak. If companies like Nvidia have their way, vision-language models like OpenAI’s GPT-4 Vision (GPT-4V) could become a key building block for computer vision in industrial applications, robotics, and autonomous driving in the future. …

Can it improve autonomous driving? Read More »

Matthias Bastian Online journalist Matthias is the co-founder and publisher of THE DECODER. He believes that artificial intelligence will fundamentally change the relationship between humans and computers. Samsung Research has introduced Samsung Gauss, a generative AI model designed for AI applications on devices. The model consists of Samsung Gauss Language, which helps with tasks such …

Samsung has a large language model too, and it’s called Gauss Read More »

Summary Google Deepmind has proposed a new framework for classifying the capabilities and behaviors of artificial general intelligence (AGI) and its precursors. This framework, which the Google Deepmind research team calls “Levels of AGI,” is intended to provide a common language for comparing models, assessing risk, and measuring progress toward AI. Based on depth (performance) …

ChatGPT is an emerging AGI according to Google Deepmind Read More »

Summary EmerNeRF learns 3D representations of the real world to help robots and autonomous cars navigate safely. Researchers from the University of Southern California, Georgia Institute of Technology, University of Toronto, Stanford University, Technion, and Nvidia have developed EmerNeRF. The AI model can use video recordings to independently recognize which parts of a traffic scene …

Nvidia’s EmerNeRF to make self-driving cars safer Read More »

Summary Google DeepMind has developed a new approach to data collection that can be used to quickly gather large amounts of data from real-world interactions. The aim is to improve the ability of robots to successfully complete more complex tasks. RoboVQA uses a “crowd-sourced bottom-up” approach to data collection. Specifically, data, including egocentric videos, will …

Google DeepMind’s RoboVQA speeds up data collection for real-world robot interactions Read More »

Summary Researchers present RoboGen, a generative robotic agent that automatically learns new skills in a generative simulation. The work by researchers from CMU, Tsinghua IIIS, MIT CSAIL, UMass Amherst, and the MIT-IBM AI Lab aims to leverage recent advances in generative AI to generate infinite training data for automated robot learning. According to the team, …

Researchers use generative simulation to unlock infinite training data for robots Read More »

Summary In a recently published study that combines AI research with psychological theories of emotional intelligence, researchers describe how emotional phrases at the end of a prompt can significantly improve the quality of chatbot responses on multiple dimensions. Examples of such emotional phrases include “This is very important for my career” or “Take pride in …

Put emotional pressure on your chatbot to make it shine Read More »