Dnotitia Launches Seahorse Cloud (SaaS) to Accelerate Enterprise AI Deployment with Advanced Data Preprocessing

During the beta phrase, Dnotitia introduced MCP (Model Context Protocol)-based RAGOps and subsequently expanded the platform with AgentOps capabilities. The official release reflects real-world ...
VentureBeat

DeepMind’s GenRM improves LLM accuracy by having models verify their own outputs

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Large language models (LLMs) are prone to ...
VentureBeat

LiveBench is an open LLM benchmark that uses contamination-free test data and objective scoring

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now A team of Abacus.AI, New York University, ...
SiliconANGLE

Microsoft reportedly develops LLM series that can rival OpenAI, Anthropic models

Microsoft Corp. has developed a series of large language models that can rival algorithms from OpenAI and Anthropic PBC, multiple publications reported today. Sources told Bloomberg that the LLM ...
Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
Search Engine Land

LLM optimization in 2026: Tracking, visibility, and what’s next for AI discovery

Marketing, technology, and business leaders today are asking an important question: how do you optimize for large language models (LLMs) like ChatGPT, Gemini, and Claude? LLM optimization is taking ...