Microsoft has introduced a spectrum of new tools to make it easier to customize and focus the output of GPT-based AI models. Cosmos DB plays an important role.
Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in?
Microsoft’s open-source KubeAI Application Nucleus is a low-touch, Kubernetes-based system for building and running machine learning applications for edge devices.
The integration of the ChatGPT connector into Creatio’s offerings will allow developers to build applications faster and help in customer-centric use cases such as providing assistance in writing emails and supporting customer support...
The next-generation large language model boasts advanced multilingual, code generation, and reasoning capabilities, and is already being used in Bard and other Google AI tools.
The new generative AI engine aims to help developers code, and offers assistance to administrators, cloud operators, data engineers, and security professionals for daily tasks.
Amid controversy about generative AI programs giving wrong, biased, or potentially dangerous responses to queries, Anthropic reveals how it is training ChatGPT rival Claude to give safe, helpful information.
The generative AI platform comes with a suite of tools for tuning large language models, a data store built on lakehouse architecture, and an AI governance toolkit.
IDMC is a suite that sits on top of enterprise databases and manages data from various data sources by ingesting, cataloging, and applying data governance rules.
Large language models have captured the news cycle, but there are many other kinds of machine learning and deep learning with many different use cases.
Kaskada, acquired by DataStax in January, offers an open-source based unified events processing engine aimed at helping enterprises build real-time machine learning applications.
The free large language model, which was jointly developed by the two companies under the BigCode Project, was trained on licensed source code covering over 80 programming languages.