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EPAM Launches DIAL, a Unified Generative AI Orchestration Platform
EPAM Launches DIAL, a Unified Generative AI Orchestration Platform

EPAM Launches DIAL, a Unified Generative AI Orchestration Platform

In keeping with EPAM's long-standing commitment to Open Source, portions of DIAL will be released under an Apache 2.0 licensing scheme

Published Updated

Key takeaways

  • EPAM has launched DIAL, a platform that combines Large Language Models with deterministic code for enhanced AI business solutions.
  • Developed by EPAM's Reliable AI Lab, DIAL accelerates enterprise experimentation with various LLMs and custom AI applications.
  • The platform features a unified interface, allowing seamless integration of public and proprietary LLMs and existing business workflows.
  • DIAL will include open-source components released under Apache 2.0, promoting responsible AI use and community innovation.
  • It aggregates multi-cloud assets and provides tools to optimise the use of external LLMs across diverse business scenarios.
5 min

EPAM Systems has announced the launch of its AI-powered DIAL (Deterministic Integrator of Applications and LLMs) Orchestration Platform, which merges the power of Large Language Models (LLMs) with deterministic code — offering a secure, scalable, and customisable AI workbench to streamline and enhance AI-driven business solutions.

Developed by EPAM’s Reliable AI Lab (RAIL), DIAL helps enterprises speed their experimentation and innovation efforts across an extensive range of LLMs, AI-native Applications and Custom Add-ons as well as provides a practical approach for engineering business solutions with reliable AI capabilities.

The DIAL Platform offers a unified user interface, empowering businesses to leverage a spectrum of public and proprietary LLMs, Add-ons, APIs, Datastores and Business Applications. This integration promotes the development of novel enterprise assets that co-exist seamlessly with an organization's existing workflows.

In keeping with EPAM's long-standing commitment to Open Source, portions of DIAL will be released under an Apache 2.0 licensing scheme as part of its launch. This initiative encourages responsible use, community innovation and the adoption of responsible AI enterprise standards within the industry.

Moreover, Applications and Add-ons can be implemented through diverse approaches, encompassing LangChain, LLamaIndex, Semantic Kernel or custom code — all within an integrated, secure and scalable framework. 

The DIAL Platformme aggregates multi-cloud assets libraries including components, routing, rate-limiting software, monitoring tools, load-balancing solutions and deployment scripts. This extensive, curated toolkit supports a wide range of business use cases and integration scenarios and offers approaches to significantly optimize the consumption of external LLMs.

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