Thursday, March 12, 2026
Tag:

Large Language Models (LLMs)

Google Provides Free Gemini AI Training for Every U.S. Educator: A Commitment to 6 Million Teachers

Google, in partnership with ISTE+ASCD, has launched a groundbreaking free three-year AI training program for all six million U.S. educators, titled the "largest AI...

NVIDIA Unveils GB300 to Cut Costs of AI Agent Inference

NVIDIA's new GB300 NVL72 platform significantly enhances agentic AI and coding assistant performance, boasting up to 50x higher throughput per megawatt than the previous...

AI-Driven Code: A Growing Security Challenge for Australian Businesses

AI coding assistants are transforming software development, significantly enhancing code generation but also introducing substantial security risks. Recent GitLab research indicates that while AI...

Study Reveals Inconsistencies in Platforms Ranking the Latest LLMs | MIT News

MIT researchers unearthed significant flaws in LLM ranking platforms, crucial for firms selecting large language models for tasks like summarizing sales reports and customer...

Pead Introduces GEO Service to Enhance AI Brand Responses

Pead, an Auckland-based communications agency, has launched a new service focused on Generative Engine Optimisation (GEO), designed to enhance how brands appear in responses...

Transforming Accounting: How AI Tools Revolutionize Workflows and Client Engagement

Artificial intelligence (AI) is transforming the accounting profession, shifting from experimental to routine use. Practitioners report significant time savings—4 hours weekly on data entry...

Elastic Introduces Advanced Tools to Enhance AI Agent Reliability

Elastic has unveiled new tools aimed at enhancing AI agent capabilities, specifically designed to integrate and utilize fragmented corporate data systems. The Agent Builder...

Transforming LLM Training: Insights from Researchers at OpenAI, Thinking Machines, and Amazon — The Information

Researchers at OpenAI, Thinking Machines, and Amazon are exploring innovative methods for training large language models (LLMs). Traditional training techniques often face challenges in...