Dyna Agent Studio - An LLM-Based Agent Builder

As large language models continue to make inroads across various industries, three-quarters of surveyed CEOs believe that deploying advanced generative AI will give their businesses a competitive edge, according to recent research. However, the challenges of implementing large models in real-world applications have often resulted in slow adoption due to the complexities and costs involved.

Recognizing these challenges, Our Cloud has introduced Dyna Agent Studio, a comprehensive, one-stop application development platform tailored for large language models. Agent Studio addresses the pressing needs of the industry by offering a streamlined, end-to-end service encompassing model pre-training, fine-tuning, alignment, and deployment optimization. With this platform, businesses can focus on their core operations while building enterprise-level models, intelligent agents, and custom knowledge bases without significant investment in AI resources.

Four Core Strengths to Lead in the Generative AI Era

Agent Studio is built on robust three-layer architecture:

- Computing Power Foundation: The base layer integrates CPU, GPU, and TPU systems, providing robust computing power to support intensive enterprise-level API demands.

- Machine Learning Deployment Platform: The middle layer features an automated deployment platform that includes a variety of foundational large models from around the world, enabling efficient end-to-end model training and deployment.

- Application Development Platform: The top layer facilitates AI-native application development with visual tools for generating and configuring large language model (LLM) applications.

Agent Studio supports various deployment modes, including public cloud, private servers, and integrated software-hardware solutions. It is compatible with multiple scenarios such as IDE plugins, adaptive web pages, APIs, and instant messaging software, catering to a wide range of tasks and environments.

Here’s how Agent Studio empowers organizations to harness the potential of generative AI:

Content generation:

Agent Studio offers a comprehensive set of content generation capabilities across text, voice, and video. This empowers businesses to automate tasks such as content creation, code generation, and speech synthesis, streamlining workflows and enhancing productivity.

Knowledge base:

A well-structured knowledge base is crucial for any enterprise, serving as a repository of valuable information across design, production, management, marketing, and operations. Agent Studio provides a powerful knowledge base management system, enabling businesses to build proprietary and contextual knowledge bases efficiently.

Using Retrieval-Augmented Generation (RAG) technology, Agent Studio enhances the accuracy of large models by integrating contextual knowledge into the response generation process. This approach has shown industry-leading performance in third-party evaluations, offering better support for business decision-making, process optimization, and customer service.

Agent:

Leveraging Agent Studio, organizations can develop intelligent agents with three core capabilities: memory building, task planning, and tool utilization. These agents are equipped to independently decompose tasks, plan strategies, and execute processes across various applications using a robust plugin ecosystem.

For instance, in wealth management, intelligent agents can provide real-time industry insights and tailored investment advice. Additionally, they can support intelligent interactions and business assistance, delivering personalized financial services. Beyond finance, businesses in insurance, travel, energy, healthcare, and other sectors can create customized agents to meet their specific needs.

Chat flow:

Effective communication with large language models often requires carefully crafted prompts. In complex business scenarios, even minor prompt errors can lead to inaccurate outputs. To address this, Agent Studio features a chat flow system, which uses few-shot prompts and visual task flow components. This system guides users through their tasks with the help of AI-powered bots, ensuring efficient and accurate responses.

Standardized AI Capabilities with Customization for Large Models

When integrating advanced technology into industry, cost and efficiency are paramount. The high input requirements, long development cycles, and low initial returns of large models have deterred many organizations from adoption.

Dyna Agent Studio tackles these concerns by standardizing AI capabilities through unified management of computing power, data, and models. This makes AI solutions more accessible and reduces the barriers to customized development. With full-stack development capabilities, Agent Studio minimizes the costs of adapting AI to specific business scenarios. It enables rapid deployment of intelligent solutions, supports a wide variety of model options, and offers high-speed inference, helping businesses accelerate their digital transformation.

With extensive cross-industry experience, we deliver large-model solutions tailored to real-world industry needs. Leveraging Agent Studio, businesses can seamlessly create customized digital employees, avatars, operations assistants, and customer service agents.

We envision a future where every company incorporates digital employees, intelligent agents, or digital avatars into their operations, driving innovation and efficiency in every aspect of business.