Over the past week, I conducted a series of performance benchmarks to compare locally hosted large language models with cloud-based APIs in real-world automation tasks. What started as a simple experiment turned into an eye-opening result. 🧪 The Task The benchmark involved a structured browser automation workflow: configuring a Volvo C40
Breaking the SQL Barrier with Natural Language For years, working with databases has required a solid understanding of SQL syntax, making data access a challenge for non-technical users. What if querying a database was as easy as asking a question? Hyperscalers SQL Agent addresses this by leveraging large language models
Introduction For decades, interacting with databases has required a working knowledge of SQL, creating a barrier for non-technical users. But what if querying a database was as simple as asking a question? By integrating a local large language model with the SQLDatabase Toolkit, we’re unlocking a new era of
DeepSeek is an AI-powered search engine designed to help users find more specific, detailed, and relevant information compared to traditional search engines. It often utilizes advanced machine learning techniques, including natural language processing, to understand queries in context and deliver highly targeted results. It may also integrate with specialized databases
Every enterprise-IT department needs to be training and maturing their own AI models for business. In the short to medium term these AI models will be used to retain enterprise-IP and generate new IP and monetary value with every business process and workflow that is streamlined, automated and / or quality
• As people move on to other organisations, they take the knowledge and IP with them. By inferencing and training generative AI: Large Language Models and Large Multi Models inside the network there is a means to retain that knowledge base and IP so it is never lost. • Gaining the ability