📁 LLM

The LLM archive monitors model releases, quantization updates, reasoning capabilities, and real-world deployment implications for local and hybrid AI. We focus on what materially changes selection and operations: context windows, latency, memory footprint, licensing, and evaluation evidence across open and commercial families. This section is designed for teams that need dependable model intelligence, not hype cycles. Pair these updates with the LLM pillar and references to hardware constraints and framework integration.

BNY is using OpenAI technology to expand AI adoption enterprise-wide. Through its Eliza platform, 20,000+ employees are building AI agents that enhance efficiency and improve client outcomes.

2025-12-12 Fonte

BBVA is expanding its collaboration with OpenAI through a multi-year AI transformation program, implementing ChatGPT Enterprise for all 120,000 employees. The two companies will work together to develop AI solutions that enhance customer interactions, streamline operations, and build an AI-native banking experience.

2025-12-12 Fonte

Disney sends cease and desist letter to Google, alleging AI infringement of copyrights on a massive scale. The company claims that Google's AI platform copies a large corpus of Disney data to train its models, violating the entertainment conglomerate's intellectual property rights.

2025-12-12 Fonte

OpenAI reflects on ten years of progress, from early research breakthroughs to widely used AI systems that reshaped what's possible. We share lessons from the past decade and why we remain optimistic about building AGI that benefits all of humanity.

2025-12-12 Fonte
📁 LLM AI generated

Introduction to GPT-5.2

GPT-5.2 is the most advanced frontier model for everyday professional work, with state-of-the-art reasoning, long-context understanding, and vision. Use it in ChatGPT and the OpenAI API to power faster, more reliable agentic workflows.

2025-12-11 Fonte

GPT-5.2 is OpenAI's strongest model yet for math and science, setting new state-of-the-art results on benchmarks like GPQA Diamond and FrontierMath. This post shows how those gains translate into real research progress, including solving an open theoretical problem and generating reliable mathematical proofs.

2025-12-11 Fonte

SAP ran an internal experiment to gauge consultant attitudes toward AI, with four teams rating the work of AI co-pilot Joule for Consultants as about 95% accurate. Only when asked to validate each answer one by one did they discover that the AI was highly accurate, surfacing detailed insights the consultants had initially dismissed.

2025-12-11 Fonte