Internal developer portal for platform engineering teams provides five templates for building AI-enabled audio-to-text, chatbot, code generation, object detection, and retrieval-augmented generation applications.
Red Hat Developer Hub, an enterprise-grade internal developer portal for platform engineering teams, is adding enhancements for AI, with five templates for building AI-powered applications for common use cases.
Rolled out on November 12, the AI-focused software templates are intended to address resource constraints and skills gaps facing developers working on AI priorities. The templates leverage pre-architected and supported approaches, so developers are able to build and deploy AI-enabled services or components without having to learn all the details of the technology used to implement it, Red Hat said.
The new templates support the following common AI use cases:
- Audio-to-text application: An AI-enabled audio transcription application in which users can upload an audio file to be transcribed
- Chatbot application: A chat application enabled by a large language model (LLM) that creates a bot that replies with AI-generated responses
- Code generation application: An LLM-enabled code generation application for a specialized bot to help with code-related queries
- Object detection application: Enables developers to upload an image to identify and locate objects in the image
- Retrieval-augmented generation (RAG) chatbot application: Enables developers to embed files containing relevant information to allow the model to provide more accurate responses
Red Hat said Developer Hub’s software catalog allows developers and platform engineers to record and share details of their organization’s assets, LLMs, AI servers, and associated APIs.
