Artificial intelligence assurance: Ensuring trust in AI systems
AI assurance encompasses a range of activities and methodologies aimed at verifying that AI systems operate as intended, are compliant with regulations, and are free from biases and errors that could lead to unfair or unsafe outcomes. And with the increasing integration of AI across various sectors—from healthcare to finance to government—the need for robust […]
Weave: Simple tools for applying Generative AI
We’re very proud to announce public availability of Weave, a suite of tools for developing and productionizing AI applications. Redirect to https://wandb.ai/wandb/weave-announcement/reports/Weave-Simple-tools-for-applying-Generative-AI–Vmlldzo3NDE0Mjcx
What is MLOps? Machine learning operations explained
The real challenges in machine learning go beyond just building an ML model. In contrast to conventional software systems, the performance of ML systems can degrade faster, requiring close monitoring and frequent retraining. MLOps—short for Machine Learning Operations—bridges the gap between data science and IT operations, ensuring that models are not only built but deployed, monitored, […]
What is an ML Model Registry?
In the rapidly changing landscape of machine learning, where having large volumes of data driving high-performing models is the backbone of innovative production solutions, a robust, secure, and accessible infrastructure is essential to managing and organizing your ML teams‘ work. Enter the ML model and data registry. A registry is both the distribution center and […]
Intro to MLOps: Machine learning experiment tracking
Imagine you are trying to develop a recipe for the best chocolate chip cookies. After the first try, you might increase the amount of flour. One time, you might add more chocolate chips. Another time you might try it with some walnuts. In the end, you might have tried a dozen recipes, but which was […]
Intro to MLOps: Hyperparameter tuning
Introduction While the ingredients of a recipe play an important role, the instructions are just as important. Whether you bake a batch of cookies at 160°C for 20 minutes or at 180°C for 12 minutes can make a huge difference with the same ingredients. So what does this have to do with machine learning (ML)? […]
Intro to MLOps: Data and model versioning
In software engineering, it’s common practice to use version control to keep track of changes, ensure traceability and enable collaboration. But version control isn’t just useful in software development – it’s vital in machine learning (ML). Instead of only versioning source code, we also need to version data and models, which are important artifacts in […]
Understanding LLMOps: Large language model operations
On this page What is LLMOps? Why the Rise of LLMOps? What Steps are Involved in LLMOps? How Is LLMOps Different Than MLOps? The Future of LLMOps Summary References It feels like the release of OpenAI’s ChatGPT has opened Pandora’s box of large language models (LLMs) in production. Not only does your neighbor now bother […]