From NVIDIA: 2024-06-19 09:00:25

The demand for tools to simplify generative AI development is soaring. NVIDIA AI Workbench offers tools to customize and optimize generative AI models with retrieval-augmented generation (RAG) techniques. It simplifies technical tasks, streamlines workflows, and enables collaboration. AI Workbench can be installed easily on local or remote machines for free, promoting seamless development and experimentation.

NVIDIA’s AI Workbench addresses challenges in AI project development by automating setup, enhancing collaboration, and ensuring consistency across different environments. Integrating with GitHub and GitLab, the tool streamlines the process of creating GPU-accelerated developer environments and supports scaling across platforms. AI Workbench offers a solution for various issues that can hinder collaboration and portability in AI projects.

Developers can leverage NVIDIA’s AI Workbench to run hybrid RAG Workbench Projects, which include a custom text-based RAG web application. Users can decide where to run inference, evaluate performance metrics, and customize responses. Workbench Projects enable users to version the development environment and code, supporting fine-tuning and model quantization for specific use cases.

Developers can fine-tune AI models using NVIDIA’s AI Workbench, enabling customization for different applications. The Llama-factory AI Workbench Project offers a graphical user interface for fine-tuning models with additional data, as well as model quantization for improved performance. Fine-tuned models can be deployed for local or cloud inference on NVIDIA NIM or Windows applications.

NVIDIA’s AI Workbench allows users to run AI workloads anywhere, catering to the needs of developers seeking a flexible solution. The ability to scale projects to remote cloud servers and data centers or run locally on NVIDIA RTX workstations provides users with a choice of inference mode and system. Find more examples and resources on the AI Workbench quick-start guide for customized, optimized AI projects.



Read more at NVIDIA: NVIDIA AI Workbench Powers App Development