Machine Learning
Microsoft Shares What’s Next In Machine Learning At NVIDIA GTC
Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and …
Announcing The PyTorch Foundation: A New Era For The Cutting-Edge AI Framework
Since we partnered with the AI community to create the PyTorch framework for AI research six years ago, open collaboration has been essential to its success. With some 2,400 contributors who have built more than 150,000 projects on the framework, PyTorch has become one of the leading platforms for AI research as well as commercial production use. Today, we …
Charmed Kubeflow 1.6 Is Now Available From Canonical
Canonical, the publisher of Ubuntu, announces today the release of Charmed Kubeflow 1.6, an end-to-end MLOps platform with optimised complex model training capabilities. Charmed Kubeflow is Canonical’s enterprise-ready distribution of Kubeflow, an open-source machine learning toolkit designed for use with Kubernetes. Charmed Kubeflow 1.6 follows the same release cadence as the Kubeflow upstream project. This latest …
Twitter: Helping Customers Find Meaningful Spaces With AutoML
Editor’s note: Since launching its Spaces feature, Twitter has demonstrated that hearing people’s voices can bring conversations on Twitter to life in a completely new way. Next, it aimed to make it easier for customers to join and listen to live conversations they personally care about. In this blog, we learn how the Twitter Spaces …
Converting Several Audio Streams Into One Voice Makes It Easier For AI To Learn
IBM researchers showed that putting the words of multiple speakers into one voice helps AI models pick up the nuances of spoken language. Their algorithm builds on a popular foundation model for speech processing, improving its accuracy and continuing IBM’s efforts to make AI accessible to everyone. IBM researchers showed that putting the words of …
Vertex AI Example-Based Explanations Improve ML Via Explainability
Artificial intelligence (AI) can automatically learn patterns that humans can’t detect, making it a powerful tool for getting more value out of data. A high-performing model starts with high-quality data, but in many cases, datasets have issues such as incorrect labels or unclear examples that contribute to poor model performance. Data quality is a constant …
Intel Teams Up with Aible To Fast-Track Enterprise Analytics And AI
What’s New: Intel’s collaboration with Aible enables teams across key industries to leverage artificial intelligence and deliver rapid and measurable business impact. This deep collaboration, which includes engineering optimizations and an innovative benchmarking program, enhances Aible’s ability to deliver rapid results to its enterprise customers. When paired with Intel processors, Aible’s technology provides a serverless-first approach, allowing developers to build …
ML Engineers: Partners For Scaling AI In Enterprises
Enterprises across many industries are adopting artificial intelligence (AI) and machine learning (ML) at a rapid pace. Many factors fuel this accelerated adoption, including a need to realize value out of the massive amounts of data generated by multichannel customer interactions and the increasing stores of data from all facets of an enterprise’s operations. This …
BlenderBot 3: A 175B Parameter, Publicly Available Chatbot That Improves Its Skills And Safety Over Time
Today, we’re announcing that Meta AI has built and released BlenderBot 3, the first 175B-parameter, publicly available chatbot complete with model weights, code, datasets, and model cards. We’ve deployed it in a live interactive conversational AI demo here. BlenderBot 3 is capable of searching the internet to chat about virtually any topic, and it’s designed to learn how to improve its skills …
How Cohere Is Accelerating Language Model Training With Google Cloud TPUs
Over the past few years, advances in training large language models (LLMs) have moved natural language processing (NLP) from a bleeding-edge technology that few companies could access, to a powerful component of many common applications. From chatbots to content moderation to categorization, a general rule for NLP is that the larger the model, the greater …