AI Model Comparison: IBM Granite, Meta LLaMA, and Mistral This blog provides a comparative overview of three prominent AI models: IBM Granite, Meta LLaMA , and Mistral. It highlights their key characteristics, ...
With the watsonx.ai model gateway, you can enable scalable and secure deployment of generative AI capabilities. The model gateway is a unified interface that you can use to interact with foundation ...
Co-authored by Isabel Freedman, Wasabi Technologies and Mark Thirman, IBM Media archives go back over a centuryโbut finding value in decades of footage is still a major challenge. Thatโs changing. ...
A multi-agent system, no matter how smart, cannot be put into production without a robust test, monitoring, and security device. This third part looks at the final step: how to ensure that autonomous agents ...
Once knowledge governance is in place, the question arises: how do you scale a multi-agent system without ongoing manual intervention? This second part explores the idea of agents who can experiment, evaluate, ...
Multi-agent systems have moved out of the lab to become the heart of the intelligent platforms of tomorrow's businesses. The challenge is no longer just to delegate tasks to programs, but to give them ...
Applications based on LLMs are everywhere today. But in companies, many projects still struggle to go beyond the prototype stage. The reality of 2025 is that success in production no longer depends solely ...
The countdown to IBM TechXchange Conference 2025 is on and if you're passionate about AI, now is the perfect time to start planning your agenda. With hundreds of sessions tailored for developers, data ...
IBM Champion Spotlight: Mohamed Gaber Shaping the Future of Enterprise AI This month, we are proud to shine a light on Mohamed Gaber , an Applications Architect at the Saudi ...
Accessibility is no longer a compliance checkbox โ it is a core requirement for inclusive, equitable digital experiences. Organizations that embed accessibility into their technology stack from the outset ...
Traditional Metrics Are No Longer Sufficient Enterprise AI deployment demands evaluation sophistication that matches production complexity. IBM watsonx.ai's LLM as a Judge (LLMaaJ) fundamentally transforms ...
Overview This article demonstrates how AI code assistants such as GitHub Copilot , Watson Code Assistant , and other AI tools can significantly enhance developer productivity. We'll explore one practical ...
Authored By: @SHAILESH JAMLOKI and @HS Manoj Kumar Welcome to the final part of our Diff-Intel blog series! We've explored the motivation behind building an AI code reviewer in ...
Deploying large language models (LLMs) in production is as much an operations challenge as a data-science feat. IBMโs watsonx Runtime pairs naturally with Red Hat OpenShift , giving teams a Kubernetes-native ...
Diff-Intel: The Architecture Deep Dive โ How AI-Powered Code Reviews Actually Work Part 2 of 3: Understanding the Engine That's Transforming Code Quality Assurance Authors: ...
We have AI agents for almost every task that was cumbersome and time-consuming previously for humans. For automation testing, these agents work on generative AI, NLP, Vision AI, and AI context. They allow ...
Diff-Intel: Your AI Code Reviewer - Catching Issues Before They Catch You Revolutionizing code reviews with intelligent, local-first AI analysis Authors: @SHAILESH JAMLOKI , @HS Manoj ...
As businesses move to hybrid cloud systems, they find new ways to deploy intelligent solutions. AI agents and systems that act and make decisions fit well in these environments because they can adapt, ...
Big or small? 🤖 Martin Keen explores trade-offs between small AI models like Mistral 7B and massive LLMs with billions of parameters. Learn how benchmarks like MMLU and use cases like on-device AI ...
New AI initiative will co-create gen AI solutions with IBM clients, nurture NYC talent, advance enterprise AI implementations Introducing watsonx AI Labs , a new, developer-first ...