How We Are Testing Our Agents in Dev
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
Testing that your AI agent is performing as expected is not easy. Here are a few strategies we learned the hard way. The post How We Are Testing Our Agents in Dev appeared first on Towards Data Science.
BBVA is expanding its work with OpenAI through a multi-year AI transformation program, rolling out ChatGPT Enterprise to all 120,000 employees. Together, the companies will develop AI solutions that enhance customer interactions, streamline operations, and help build an AI-native banking experience.
3D printing has come a long way since its invention in 1983 by Chuck Hull, who pioneered stereolithography, a technique that solidifies liquid resin into solid objects using ultraviolet lasers. Over the decades, 3D printers have evolved from experimental curiosities into tools capable of producing everything from custom prosthetics to complex food designs, architectural models, and even functioning human organs. But as the technology matures, its environmental footprint has become increasingly difficult to set aside. The vast majority […]
Author(s): KirtiBankar Originally published on Towards AI. Google Search Engine Optimization (SEO) is evolving faster than ever, and AI is a primary driver of this change. Marketers no longer depend on guessing, keyword studies done by hand, and repeating the same tasks over and over again. These days, AI tools help companies determine what people are looking for, enhance their content, and make more informed decisions based on data. AI has not only made SEO easier, but it […]
Google has launched Gemini 3 and claims it to be the most intelligent model yet, with the best reasoning, indicating significant progress in the use of AI in different modes. While previously, Gemini 3 had only restricted itself to mere language interactions, it has now entered the new era where AI not only comprehends commands but completes the entire task. This new feature is nothing short of a miracle for the developers who have been waiting for such […]
Can a 3B model deliver 30B class reasoning by fixing the training recipe instead of scaling parameters? Nanbeige LLM Lab at Boss Zhipin has released Nanbeige4-3B, a 3B parameter small language model family trained with an unusually heavy emphasis on data quality, curriculum scheduling, distillation, and reinforcement learning. The research team ships 2 primary checkpoints, Nanbeige4-3B-Base and Nanbeige4-3B-Thinking, and evaluates the reasoning tuned model against Qwen3 checkpoints from 4B up to 32B parameters. https://arxiv.org/pdf/2512.06266 Benchmark results On AIME […]
Introduction Language models have existed for decades — long before today’s so-called “LLMs.” In the 1990s, IBM’s alignment models and smoothed n-gram systems trained on hundreds of millions of words set performance records. By the 2000s, the internet’s growth enabled “web as corpus” datasets, pushing statistical models to dominate natural language processing (NLP). Yet, many believe language modelling began in 2017 with Google’s Transformer architecture and BERT. In reality, Transformers revolutionized scalability but were just one step in a much […]
Tweet … is from page 130 of Norbert Michel’s superb and data-rich 2025 book, Crushing Capitalism: How Populist Policies are Threatening the American Dream: Regardless of the politics, the evidence simply does not connect widespread economic difficulties to “trade with China” or competition with “cheap labor.” The evidence also fails to support the widely repeated claim that the typical American worker’s real wages have not budged in decades. Although there is no single “right” way to measure income […]
An HBR Executive exclusive Q&A with Zak Brown, CEO of McLaren Racing.
Jina AI has released Jina-VLM, a 2.4B parameter vision language model that targets multilingual visual question answering and document understanding on constrained hardware. The model couples a SigLIP2 vision encoder with a Qwen3 language backbone and uses an attention pooling connector to reduce visual tokens while preserving spatial structure. Among open 2B scale VLMs, it reaches state of the art results on multilingual benchmarks such as MMMB and Multilingual MMBench. https://arxiv.org/pdf/2512.04032 Architecture, overlapping tiles with attention pooling connector […]