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 a bid to tackle the problem of item counterfeiting, researchers at MIT have taken a significant step forward in developing a microscopic, cheap and secure cryptographic ID tag. This tiny tag, which uses terahertz waves and is notably smaller, less expensive, and safer than conventional radio frequency tags (RFIDs), was initially found to have…
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…
A group of researchers from the Massachusetts Institute of Technology (MIT) have developed a revolutionary anti-tampering ID tag. Notably smaller and significantly less expensive than traditional radio frequency identification (RFID) tags, this evolution could revolutionize the way technology authenticates the legitimacy of a product. But how does it secure itself from the common issue of…
A team of MIT researchers has created a cryptographic ID tag that boasts several advantages over existing technologies - spurring hope it will revolutionize supply chain verification. The tag is several times smaller, much cheaper, and offers better security than the radio frequency identification (RFID) tags currently used for product verification. The new tag uses…
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…
A team of researchers from MIT has developed an innovative antitampering cryptographic ID tag, which is smaller, cheaper, and more secure than traditional radio frequency identification (RFID) tags. Traditional RFIDs can be detached from a genuine item and reattached on counterfeit products, compromising the authenticity of the item. As a solution, the MIT team creates…
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…