GenAI Dilemma: Fine-Tuning vs. Zero-Shot Learning
The tremendous progress in generative artificial intelligence presents companies with the dilemma of which techniques to choose to develop or refine their large language models. Among these main alternatives are fine tuning and zero shot learning. In this post, you...
Building an EHS Advisory Agent
Introduction EHS Advisory Agent Environmental Health and Safety (EHS) is currently a set of policies and practices designed to protect employees, citizens, and the environment from the risks and negative impacts of a company's activities. Its emerging connection with...
Industrial opportunities: Video surveillance with Gen AI
Introduction to video surveillance with Gen AI Today, it is essential to optimize the management of corporate assets, security and control, especially in industrial facilities. In the era of generative artificial intelligence, video analytics has become a powerful...
Complex reasoning with LLM: prompt chain versus chain of thought
Introduction to Complex reasoning and prompt chain versus chain of thought Large Language Models (LLMs) are central to understanding the innovations of Gen AI. However, when talking about "complex reasoning", it is necessary to analyze how LLMs work, how to optimize...
Which LLM should you choose for your project: open or closed?
Introduction to Open and Closed LLM Large Language Models (LLMs) represent a very significant advance in AI and are more accurate than traditional machine learning algorithms. Their use in business has become highly desirable. However, due to the complexity of...
Optimizing spare parts purchasing in industry 4.0
Introduction to spare parts purchasing in industry 4.0 One of the biggest challenges in asset management industries is managing the purchase of spare parts. Estimating the useful life of spare parts in order to maintain an adequate replacement inventory, as well as...
