Fundamental, which just closed a $225 million funding round, develops ‘large tabular models’ for structured data like tables ...
Large language models turned natural language into a programmable interface, but they still struggle when the world stops ...
Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...
Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside ...
The increasing adoption and recognition of LLMs within the academic community. As a significant breakthrough in the field of ...
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how ...
Learn how Microsoft research uncovers backdoor risks in language models and introduces a practical scanner to detect tampering and strengthen AI security.
OpenAI launches GPT-5.3-Codex with faster coding, stronger reasoning, and higher benchmark accuracy—plus API access soon.
Google's Project Genie may prove that world models matter more than LLMs for defense. The military that masters physics ...