Explore how tool invocation works in LLMs like Claude and ChatGPT, blending prompt design with infrastructure. Understand the role of MCP in standardizing external tool integration for seamless AI-agent interactions.
Explore how MCP transforms JVM tools like WildFly and Ghidra into LLM-driven operations, diagnostics, and reverse engineering servers. Discover how agents can now run diagnostics, decompile malware, and even query applications—all via chat.
If you are using AI coding assistants or agents, they will only be as helpful as their knowledge of the libraries you use. LLMs know a lot about the world from their training set, but that might not include a library's documentation at all or include an older version. Agents can browse the Internet looking for more recent information, but this might not be precise enough. For instance, the web might be littered with outdated examples, and the latest information might only be available in the official docs. Hence, if you are a library author, how do you prepare your documentation for consumption by coding agents?
GenAI and LLMs are distinct AI models, but have so many commonalities that some users struggle to tell them apart. To find the right application for them in a business environment, we will discuss the differences between the two.
Read on to find out what they are and what makes them a valid storage option for solutions built around edge reference architecture. You will also learn how the combination of data lakes and edge computing applies in real life.
Java has come a long way on ARM. Runtime improvements, smarter garbage collectors, and better vector performance now make it a solid fit. CI/CD pipelines work without extra effort. This guide walks through: - real-world benchmarks - examples from AWS and Google Cloud - gives hands-on advice for tooling, deployment, and compatibility If you're weighing cost, speed, or sustainability, this will help you judge whether a move to ARM makes sense—and how to pull it off cleanly.
Developers often find themselves in a dilemma: how can they ensure their software runs well for the foreseeable future? The mantra "You Build It, You Run It" emerged as a natural answer. Having your development team manage the product throughout its lifecycle offers certain benefits, but it's not a one-size-fits-all solution. Fortunately, there are alternatives.
We’re excited to announce that VirtusLab will be attending the Data Innovation Summit 2025 as a Venue Partner! Whether you're deep into machine learning, curious about data maturity, or just looking for some good conversation (and maybe a cup of tea), we’d love to meet you there.
The LLMs as we know them didn’t appear out of thin air. AI has roots dating back over 100 years, when early concepts like fuzzy logic emerged. Then came mathematical models that contributed to the development of neural networks. But will LLMs replace classic Machine Learning for good?
Modern infrastructure as code (IaC) solutions have automated much of the cloud provisioning process, yet they still lack robust correctness guarantees, leading to costly misconfigurations and inefficiencies. TypeOps introduces the power of type systems to DevOps, enabling compile-time validation of infrastructure code, reducing errors before deployment, and ensuring more reliable and scalable cloud operations.
Machine learning enhances the accuracy and precision of various tasks by processing large amounts of data and identifying patterns. If your organization is considering implementing a machine learning-based solution, we encourage you to explore the advantages and benefits of ML and discuss some potential limitations and what you can do to minimize them.
The Leaders in Logistics 2025 Summit gathers experts and individuals from the logistics industry, with a particular focus on senior parcel delivery & e-commerce professionals. VirtusLab is proud to announce that we are a bronze sponsor of this year’s edition. The 2025 Summit will take place on 12-13 March at the Estrel Berlin Hotel. Read more to find out what you can expect from this year’s edition.
