In-context learning (ICL) in large language models (LLMs) is a cutting-edge subset of machine learning that uses input-output examples to adapt to new tasks without changing the base model architecture. This methodology has revolutionized how these models manage various tasks by learning from example data during the inference process. However, the current setup, referred to…
In-context learning (ICL) in large language models utilizes input and output examples to adapt to new tasks. While it has revolutionized how models manage various tasks, few-shot ICL struggles with more complex tasks that require a deep understanding, largely due to its limited input data. This presents an issue for applications that require detailed analysis…
Artists behind animated movies and video games may soon have greater control over their animations through a new technique devised by researchers at the Massachusetts Institute of Technology (MIT). The approach employs barycentric coordinates, mathematical functions that articulate how 2D and 3D figures can be manipulated through space.
Existing solutions are often limited, providing a single…
A new technique for maximizing control over animations has been developed by researchers at MIT. The technique offers animators the ability to mold the movements and image of characters in 2D and 3D animations to their individual requirements, through the use of barycentric coordinates, mathematical functions that determine how shapes flex, bend and move in…
MIT researchers have leveraged the power of deep learning, a branch of artificial intelligence (AI), to discover a class of compounds that can potentially kill methicillin-resistant Staphylococcus aureus (MRSA). The discovery, described in a paper published in the journal Nature, saw the use of AI to predict the antibiotic potency of various molecules, an insight…
In 2023, MIT had an eventful year, including the inauguration of President Sally Kornbluth and a Commencement address by Mark Rober, as well as Professor Moungi Bawendi winning a Nobel Prize for research on quantum dots. Researchers were also involved in several scientific breakthroughs, such as a study on a dying star consuming a planet,…
Neuroscientists at MIT, assisted by an artificial language network, have discovered that complex sentences with unusual grammar or unexpected meaning, stimulate the brain's key language processing centres more effectively. Interestingly, both straightforward sentences and nonsensical sequences of words had minimal engagement in these regions.
The findings were part of a study led by MIT graduate…
Cohere AI, a leading enterprise AI platform, recently announced the release of the Cohere Toolkit intended to spur the development of AI applications. The toolkit integrates with a variety of platforms including AWS, Azure, and Cohere's own network and allows developers to utilize Cohere’s models, Command, Embed, and Rerank.
The Cohere Toolkit comprises of production-ready applications…
Scientific Machine Learning (SciML) is an emerging discipline that leverages machine learning (ML), data science, and computational modeling, thereby ushering in a new era of scientific discovery. Offering rapid processing of vast datasets, SciML drives innovation by reducing the time between hypothesis generation and experimental validation. This greatly benefits fields such as pharmacology where the…
Large Language Models (LLMs) are a critical component of several computational platforms, driving technological innovation across a wide range of applications. While they are key for processing and analyzing a vast amount of data, they often face challenges related to high operational costs and inefficiencies in system tool usage.
Traditionally, LLMs operate under systems that activate…
The 2024 Zhongguancun Forum in Beijing introduced Vidu, an advanced AI model developed by ShengShu-AI and Tsinghua University. Vidu is capable of generating 16-second 1080p video clips from a simple prompt, marking a notable milestone in generative AI technologies coming from China. This innovative AI model is poised to compete with OpenAI's Sora.
Vidu uses Universal…
Reinforcement Learning (RL) is a method of learning that engages an agent with its environment to gather experiences and maximize received rewards. Given the policy rollouts necessary in the experience collection and improvement process, this is known as online RL. However, these online interactions required by both on-policy and off-policy RL can be impractical due…