In addition to accelerating AI projects, Cloudera AMPs are fully open source and include deployment instructions for any environment.
Cloudera, a hybrid platform for data, analytics and AI, has unveiled several new Accelerators for Machine Learning Projects (AMPs) aimed at speeding up enterprise AI adoption. These new additions offer advanced AI techniques and real-world examples within the Cloudera ecosystem to help businesses integrate AI more effectively and achieve faster, more impactful results.
AMPs are pre-built, end-to-end machine learning projects that can be deployed with a single click directly from the Cloudera platform. Each AMP incorporates industry best practices for handling complex machine learning challenges, with workflows designed for seamless deployment across various environments.
The latest AMPs include Fine-Tuning Studio, a comprehensive tool for managing and fine-tuning large language models (LLMs); RAG with Knowledge Graph, which enhances retrieval-augmented generation applications by incorporating knowledge graphs; PromptBrew, offering AI-assisted prompt generation through an intuitive interface; and Chat with Your Documents, an enhancement of the LLM Chatbot Augmented with Enterprise Data AMP, allowing users to improve responses by utilising internal document-based knowledge.
All Cloudera AMPs are fully open-source and come with deployment instructions for any environment, further supporting Cloudera’s dedication to the open-source community while accelerating AI adoption across enterprises.
The Futurum Group’s Chief Technology Advisor, Steven Dickens, said: “While almost every business is experimenting with Generative AI, the technology is still so new that there are very few best practices for enterprises. As a result, it’s common practice for data scientists and AI engineers to build on existing examples when starting new AI projects. However, there are many drawbacks with this approach, including added security and legal risks. AMPs remove this ambiguity by providing fully built, end-to-end solutions that give data scientists a ready-to-go MVP for various AI use cases that are proven to be effective and able to quickly drive value.”
Dipto Chakravarty, Chief Product Officer at Cloudera, added: “In today’s environment, enterprises are constrained with time and resources to get AI projects off the ground. Our AMPs are catalysts to fast-track AI projects from concept to reality with pre-built solutions and working examples, ensuring that use cases are dependable and cost effective, while reducing development time. This enables enterprises to swiftly experience the productivity gains and efficiencies that come from AI initiatives.”
