A team of researchers from MIT and other institutions has developed a method to stop the performance deterioration in AI language models involved in continuous dialogue, like the AI chatbot, ChatGPT. Named StreamingLLM, the solution revolves around a modification in the machine’s key-value cache, acting as a conversation memory. Conventionally, when the cache overflows, the…
In 2010, Media Lab students Karthik Dinakar SM ’12, Ph.D.’17, and Birago Jones SM ’12 developed a tool intended to assist content moderation teams for platforms such as Twitter and YouTube. The tool aimed to flag harmful content, with a key focus on posts that could be linked to cyberbullying. The project was warmly received,…
Researchers from MIT have devised a method called StreamingLLM which enables chatbots to maintain long, uninterrupted dialogues without crashing or performance dips. It involves a modification to the key-value cache at the core of many large language models which serves as a conversation memory, ensuring the initial data points remain present. The method facilitates a…
In 2010, Karthik Dinakar and Birago Jones, students at the Media Lab, teamed up to create a tool designed to aid content moderation teams at companies including Twitter and YouTube. The project generated widespread interest and soon they were invited to the White House to demonstrate their technology designed to identify concerning posts on these…
Researchers from MIT and other institutions have developed a method to prevent chatbot performance from deteriorating during prolonged human-AI interactions. The method, called StreamingLLM, is based on a slight modification to the crucial key-value cache (KV Cache) that is central to large language models employed by many AI-driven platforms. The KV Cache, similar to a…
Researchers from the Massachusetts Institute of Technology (MIT) and partner organizations have developed a solution to address a key issue limiting the effectiveness of AI chatbots. Large language machine-learning models, such as ChatGPT, often crash or slow down during extended rounds of dialogue with humans. The study identified the cause of this problem as the…
In 2010, MIT Media Lab students Karthik Dinakar SM ’12, PhD ’17 and Birago Jones SM ’12 embarked on creating a tool to assist content moderation teams at companies like Twitter (now X) and YouTube. Their demo, which was presented at a cyberbullying summit at the White House, identified troublesome posts through machine learning. However,…
Researchers from MIT and other institutions have developed a solution to maintain continuous human-AI interactions without the chatbot crashing or slowing down. The solution, known as StreamingLLM, involves tweaking the key-value cache (like a conversation memory) that forms the heart of many large language models. Under the conventional setup, the cache, when filled beyond its…
Large language AI models are notorious for crashing or slowing down during lengthy human-AI dialogues, posing a major barrier to the effective use of chatbots in many applications. Now, a team of researchers from MIT and other institutions propose a novel solution - by modifying the key-value cache, or the 'conversation memory', they improved the…
The Massachusetts Institute of Technology (MIT) has been collaborating with Roxbury, Massachusetts' Camfield Estates housing development for over a decade, helping to combat systemic racial disparities in housing. Led by Associate Professor Catherine D'Ignazio, a team from the MIT Initiative for Combatting Systemic Racism (ICSR) primarily focus their research on the impact of data and…