Generative AI Jun 07, 2024 INDIA
Persistent unveils GenAI hub to power Enterprise AI integration
Persistent Systems has introduced the GenAI Hub, a new initiative to accelerate the adoption of generative AI in enterprises. This hub will provide businesses with the tools and support to integrate advanced AI technologies into their operations, driving innovation and efficiency.
Published By :
Dr Nivash Jeevanandam
Persistent Systems, a company specializing in Digital Engineering and Enterprise Modernization, has introduced GenAI Hub, a cutting-edge platform for expediting the development and implementation of Generative AI (GenAI) applications in corporate settings.
This platform effortlessly combines with an organization's current infrastructure, apps, and data, allowing for quickly creating customized, industry-specific GenAI solutions. The GenAI Hub facilitates the implementation of GenAI in different Large Language Models (LLMs) and cloud platforms, ensuring freedom from vendor dependency.
Enterprises need seamless integration with existing systems to harness GenAI's potential effectively and turn ideas into business results. The GenAI Hub by Persistent Systems offers a robust platform to simplify the development and management of various AI models. It accelerates market readiness with pre-built components while ensuring responsible AI use.
The GenAI Hub includes five key components:
- Playground: A no-code tool for domain experts to explore and apply GenAI without programming skills using large language models (LLMs) on enterprise data. It supports LLMs from private providers like Azure OpenAI, AWS Bedrock, Google Gemini, and open models from Hugging Face.
- Agents Framework: Provides a versatile architecture for developing GenAI applications, leveraging libraries like LangChain and LlamaIndex for innovative solutions, including Retrieval Augmented Generation (RAG).
- Evaluation Framework: Utilizes an “AI to validate AI” approach, auto-generating ground-truth questions for human verification, tracking application performance, and addressing drift and bias.
- Gateway: Routes across LLMs, enhancing application compatibility, managing service priorities, load balancing, and offering insights into token consumption and costs.
- Custom Model Pipelines: Facilitates creating and integrating bespoke LLMs and Small Language Models (SLMs) into the GenAI ecosystem, streamlining data preparation and model fine-tuning for cloud and on-premises deployments.
The GenAI Hub streamlines the development of enterprise use cases, offering step-by-step guidance and seamless data integration in LLMs. It enables the rapid creation of efficient and secure GenAI solutions at scale.
Source: Persistent
Image source: COPILOT