Generative AI | News, how-tos, features, reviews, and videos
Self-sufficiency in AI has become a top priority for the company, but homegrown models rumored for release last year are still in testing.
JFrog ML brings devops best practices to building, deploying, managing, and monitoring AI/ML workflows, JFrog said.
A new capability has been added that will allow enterprises to optimize prompts for extended thinking — a feature that shows how a model is reasoning.
February release of Microsoft’s code editor previews new capabilities in the AI coding assistant including Copilot Edits support for notebooks.
Portkey AI Gateway allows application developers to easily integrate generative AI models, seamlessly switch among models, and add features like conditional routing without changing application code.
Zencoder takes an innovative approach to code generation and repair, ‘grokking’ whole repos for context and using an error-corrected inference pipeline. It’s still wet behind the ears.
Generative AI is bringing greater accuracy, flexibility, and automation to intelligent document processing, with significant business benefits. Here’s what you should know.
Teradata’s partnership with Nvidia will allow developers to fine-tune NeMo Retriever microservices with custom models to build document ingestion and RAG applications.
The uncontrolled and ungoverned AI apps your employees are using are becoming a real threat to cloud deployments, but banning them won’t work. Here’s what to do.
Retrieval-augmented generation, or RAG, integrates external data sources to reduce hallucinations and improve the response accuracy of large language models.