TL;DR:
- EPAM introduces DIAL Orchestration Platform, merging Large Language Models (LLMs) with deterministic code.
- DIAL offers a secure, scalable, and customizable AI workbench for AI-driven business solutions.
- The platform empowers enterprises to experiment and innovate across a wide range of LLMs and applications.
- It provides a unified user interface for leveraging public and proprietary LLMs, Add-ons, APIs, and Datastores.
- DIAL facilitates the development of enterprise assets compatible with existing workflows.
- Implementation options include LangChain, LLamaIndex, Semantic Kernel, or custom code.
- Multi-cloud assets libraries optimize the consumption of external LLMs.
- Portions of DIAL will be released under an Apache 2.0 licensing scheme as part of EPAM’s commitment to Open Source and responsible AI.
Main AI News:
EPAM Systems, a renowned leader in digital transformation services and product engineering, has made a groundbreaking announcement today. The company proudly presents its cutting-edge AI-powered platform called DIAL Orchestration Platform (Deterministic Integrator of Applications and LLMs). This remarkable platform combines the prowess of Large Language Models (LLMs) with deterministic code, delivering a secure, scalable, and fully customizable AI workbench that promises to streamline and elevate AI-driven business solutions.
Developed by EPAM’s Reliable AI Lab (RAIL), DIAL represents a significant leap forward in helping enterprises accelerate their experimentation and innovation endeavors across a wide array of LLMs, AI-native Applications, and Custom Add-ons. Moreover, it provides a pragmatic approach to engineering business solutions with reliable AI capabilities.
The key strength of the DIAL Platform lies in its unified user interface, empowering businesses to harness the potential of both public and proprietary LLMs, Add-ons, APIs, Datastores, and Business Applications. Such seamless integration fosters the development of novel enterprise assets that coexist harmoniously with an organization’s existing workflows, promoting productivity and efficiency.
Notably, Applications and Add-ons can be implemented using diverse approaches, including LangChain, LLamaIndex, Semantic Kernel, or custom code — all within an integrated, secure, and scalable framework. The DIAL Platform leverages multi-cloud assets libraries, incorporating components, routing, rate-limiting software, monitoring tools, load-balancing solutions, and deployment scripts. This extensive and curated toolkit caters to a wide range of business use cases and integration scenarios, offering approaches to significantly optimize the consumption of external LLMs.
Elaina Shekhter, the Chief Marketing & Strategy Officer at EPAM, highlighted the company’s extensive experience in experimenting with thousands of AI use cases since 2021. This experience has played a crucial role in shaping the DIAL platform, which expedites the cost-effective development, reliability testing, and seamless operations of AI-embedded business applications.
The RAIL Lab, a part of EPAM’s broader R&D initiatives, is responsible for creating accelerators and components that encompass a full spectrum of advanced technologies, including Generative AI. These efforts are aimed at expediting the implementation of enterprise-scale solutions, aligning with EPAM’s commitment to innovation and their vision for a transformative future driven by cutting-edge technology, as shared by Ilya Gorelik, Head of EPAM’s RAIL Lab.
In keeping with EPAM’s long-standing commitment to Open Source, the company has taken an admirable step by releasing portions of the DIAL platform under an Apache 2.0 licensing scheme. This strategic move aims to encourage responsible use, foster community innovation, and promote the adoption of responsible AI enterprise standards within the industry.
Conclusion:
EPAM’s launch of the DIAL Orchestration Platform signals a significant development for the market. The merging of Large Language Models with deterministic code brings enhanced capabilities for businesses to create reliable and efficient AI-driven solutions. With a unified interface and multi-cloud support, DIAL offers a flexible and scalable solution for enterprises seeking to accelerate their AI experimentation and innovation. The platform’s commitment to Open Source also encourages responsible AI adoption and fosters innovation within the industry, creating new opportunities for businesses to harness the power of Generative AI for transformative business initiatives. As a result, the market can anticipate increased adoption of AI-driven technologies, driving digital transformation efforts and reshaping the landscape of business operations.
