Browsing: AI & Robotics
Large language models don’t behave like people, even though we may expect them to | MIT News
One thing that makes large language models (LLMs) so powerful is the diversity of tasks to which they can be…
Meta AI Releases Meta’s Open Materials 2024 (OMat24) Inorganic Materials Dataset and Models
The discovery of new materials is crucial to addressing pressing global challenges such as climate change and advancements in next-generation…
As the name suggests, most electronic devices today work through the movement of electrons. But materials that can efficiently conduct…
Nvidia AI Introduces the Normalized Transformer (nGPT): A Hypersphere-based Transformer Achieving 4-20x Faster Training and Improved Stability for LLMs
The rise of Transformer-based models has significantly advanced the field of natural language processing. However, the training of these models…
As artificial intelligence models become increasingly prevalent and are integrated into diverse sectors like health care, finance, education, transportation, and…
Meta AI Releases Meta Spirit LM: An Open Source Multimodal Language Model Mixing Text and Speech
One of the primary challenges in developing advanced text-to-speech (TTS) systems is the lack of expressivity when transcribing and generating…
Study: When allocating scarce resources with AI, randomization can improve fairness | MIT News
Organizations are increasingly utilizing machine-learning models to allocate scarce resources or opportunities. For instance, such models can help companies screen…
Katanemo Open Sources Arch-Function: A Set of Large Language Models (LLMs) Promising Ultra-Fast Speeds at Function-Calling Tasks for Agentic Workflows
One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Issues of…
Combining next-token prediction and video diffusion in computer vision and robotics | MIT News
In the current AI zeitgeist, sequence models have skyrocketed in popularity for their ability to analyze data and predict what…
Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand…