‘Large language models’ (LLMs) have gained prominence in the field of artificial intelligence and generative AI. This article discusses the collection methods and use cases of LLM data, projecting its significance in 2023. AIMultiple provides tools and resources for businesses to leverage LLM technology.

Large Language Models (LLMs) are used for natural language processing applications, but they struggle with extended sequence creation beyond their pretraining. Researchers propose StreamingLLM, an architecture that allows LLMs to work on indefinite text without fine-tuning. StreamingLLM achieves faster speeds compared to other techniques and can accurately represent millions of tokens. It also suggests using…

MotionLM is a new approach for predicting the behavior of road agents in autonomous vehicles. It treats the prediction task as a language modeling task, similar to how language models capture complex language distributions. MotionLM outperforms other methods in forecasting the actions of road agents, making it a significant advancement in the field of multi-agent…

Researchers from UC Berkeley and UCSF have introduced a new approach called LLM-grounded Video Diffusion (LVD) to address the challenges in generating videos from text prompts. LVD utilizes Large Language Models (LLMs) to create dynamic scene layouts based on textual descriptions, resulting in videos that accurately represent complex spatiotemporal dynamics. The approach significantly outperforms other…

OpenAI CEO Sam Altman envisions a future where neural devices, combined with advanced AI like GPT-5 or 6, could potentially visualize a person’s inner monologue. These devices would display words in a user’s field of vision, allowing for a more direct form of thought communication. Altman believes this development is inevitable and highlights the growing…

Israel’s AI-integrated air defense system, Iron Dome, has been in the spotlight due to the recent conflict with Gaza. Iron Dome has a 90% success rate in intercepting rockets from Hamas and Hezbollah, using radar technology, predictive analytics, and machine learning. AI is also being used in other military operations, such as streamlining logistics and…

Researchers from Carnegie Mellon University and Google explored the concept of delaying model outputs in language models by adding fake tokens. This technique, called pause training, was found to improve performance on various tasks, including extractive question-answering and reasoning. The team also discovered the optimal number of tokens for each task and observed that decreasing…

Machine learning models are being used to predict UI information and improve app accessibility and testing. Currently, these models rely on costly and error-prone human-labeled datasets. While some elements can be guessed from visuals or metadata, programmatically tapping the UI element is the only certain way to determine if it is “tappable.”

Mind-body interventions like mindfulness-based stress reduction (MBSR) can enhance well-being by improving awareness and control of physiological and cognitive states. Researchers examined the impact of MBSR on long-term physiological changes and well-being. They measured respiration rate (RR) and self-reported psychological well-being, distress, and medical symptoms. The study aimed to confirm the hypothesis that lower baseline…