To open up the last mile of large model application, Volcano Engine has come up with a good solution

/ 01 /

Large model application laboratory,

Open up the last mile of large-scale model implementation

When enterprises implement large AI models, the application of a single tool is too simple. For example, DeepSeek-R1 is mainly based on ChatBot.

How to use existing AI tools, such as DeepSeek and Doubao, to improve business efficiency or solve practical problems?

Volcano Engine has come up with a good idea: integrating open source models and applications.

Volcano Engine has officially launched the "Large Model Application Laboratory" platform, and has also opened up many AI applications, including the mobile assistant, Deep Research, DeepSeek online version, real-time video understanding, interactive bilingual video generator, and real-time voice call-Qingqing.

「Big Model Application Lab」GitHub address: https://github.com/volcengine/ai-app-lab

The product comes with free tokens, and subsequent costs are cost-effective, so let’s get started directly.

During the trial, the Deep Research open source application left the deepest impression on me.

This is an efficient tool developed by Volcano Ark specifically for dealing with complex problems. It uses the DeepSeek-R1 large model to analyze complex problems from multiple angles, and assisted by Internet data, plus the Doubao large model's superb Internet data summarization capabilities, to quickly generate the most suitable solution for the user.

Following the tutorial, I completed the local deployment in 10 minutes and implemented the ChatBot function through the shell.

Next, I asked two questions. One was "Predict the development trend of Hangzhou real estate in the next five years, and analyze potential areas and buying and selling strategies based on the planning of the six little dragon blocks", and the other was to ask it to help me compile a research report on the development and implementation of China's AI counterattack industry in the past month.

It took me just over two minutes to think about a single question , which was so fast that I dropped my jaw! All answers have the source of facts, knowledge and theories, including industry white papers and reports.

Looking at the content, for example, in questions about real estate market analysis, Deep Research provides scientific advice from the analysis of macro market trends, to in-depth exploration of micro potential areas, to the formulation of buying and selling strategies, timing decisions, and capital allocation.

After trying it out, I can feel that the token call of Volcano Engine is very stable, and it can process hundreds of pages of PDF documents without interruption . It is understood that Volcano Engine uses dynamic traffic scheduling technology to stabilize the API call success rate at more than 99.9%.

This is because the "Large Model Application Laboratory" uses the deep logical reasoning capabilities of the DeepSeek-R1 large model, combined with the Doubao 1.5 model's precise capture of real-time data from the entire network , to form a complete analysis chain of "data collection-cross-validation-strategy generation".

The "Large Model Application Laboratory" aims to help developers complete most of the basic construction of AI applications by finding difficult and high-value problems, integrating multimodal models and knowledge bases, networking, file parsing and other common plug-ins, and efficiently connecting multiple terminals and rich cloud services, and open source them to enterprises and developers in the form of high-level code.

Compared with traditional AI applications, the "Large Model Application Laboratory" has three major characteristics: easy integration, easy implementation, and more open.

Taking easy integration as an example, in traditional application development, it is often necessary to integrate various large model plug-ins, including knowledge base, networking, file parsing, etc.

The Large Model Application Lab integrates the common plug-ins that developers may use, which means that developers can call various tools in the browser to write, run, debug and deploy applications.

At the same time, Volcano Engine not only provides a rich variety of powerful models for customers to choose from at the model layer, but also has the ability to perform model distillation, reinforcement learning, and training and promotion when customizing vertical models.

Previously, Volcano Ark has attracted the attention of enterprises and developers due to its ultra-high stability when connected to DeepSeek services. Volcano Ark guarantees ultra-low latency of less than 20ms, the highest initial flow limit of 5 million TPM in the entire network, and the first 5 billion initial offline TPD quota in the entire network.

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Eighteen kinds of "martial arts" are displayed

In addition to Deep Research, there are also many highlights in the AI ​​applications in voice, video and other aspects in the large model application laboratory.

Interactive Bilingual Video Generator: Create animated stories in one click

This is an innovative tool for content creation that can quickly generate meaningful bilingual videos based on the topics entered by users. Users can also modify prompts, select pictures/videos, and intervene in the final video effect.

When I typed "Tell a story about brushing teeth before bedtime", the generator created a story about "The Little Bear Brushing Teeth" within a few minutes and presented a "Text-Video Animation-Voice Narration" page.

The story of "The Little Bear Brushing His Teeth" has an anthropomorphic, cute and fresh text narrative. The video production is fully automated and the voice is narrated by two virtual people with natural intonation and gentle tone.

Real-time voice calls: low-latency conversations that highly simulate real-person calls

Through real-time voice calls, users can chat with 20-year-old journalism student "Qiao Qingqing" at any time.

When I talked to "Qiao Qingqing" about schoolwork, concerts, and winter vacation plans, "Qiao Qingqing" answered fluently and achieved near-real-time dialogue responses, giving me an experience similar to a face-to-face chat. When she talked about happy things, she would naturally laugh out loud, allowing me to truly feel her cheerful personality.

This real-time voice call application is built based on the Doubao Voice series large model, which can simulate real-life interaction in all aspects and allow users to be deeply immersed.

Real-time video understanding: face-to-face communication with large models

The real-time video understanding application realized by the Doubao visual understanding model can analyze the real-time images transmitted by the camera, and can accurately understand charts and papers, character expressions, action details, scene environments, etc.

It also supports high-definition and smooth video calls, allowing face-to-face and instant communication experience with large models.

In actual testing, I found that it can accurately understand the text, expressions, movements, environment and other elements in real-time video images, and can provide accurate interpretation. Moreover, it can accurately simulate real-life interactive situations, making users feel as if they are communicating face to face with virtual characters.

In real life, there is a lot of room for the application of visual understanding scenarios. For example, in games, it can understand the game screen and give real-time guidance suggestions; in cultural and tourism scenarios, it can act as a tour guide to explain the attractions in real time; and embodied intelligence can perceive and respond to changes in the surrounding physical environment.

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Use open source applications as a “bridge”

Through open source AI applications, Volcano Engine allows companies to directly skip the difficult problem of industrialization of large models, copy them with one click, complete the construction of basic applications, and add personalized industry know-how and internal business logic to quickly enter the practical stage of application implementation.

The launch of the "Large Model Application Laboratory" platform also fully demonstrates Volcano Engine's insistence on establishing an open source ecosystem.

As the focus of AI industry development shifts from models to application implementation, reducing application access will become an important part of opening up the application supply side. In this process, Volcano Engine's choice to open source large model applications is of great significance.

First of all, Volcano Engine believes that open source applications are more valuable than open source models . Open source applications provide a bridge for large models to be implemented in more scenarios.

Personally, many people are actually confused about what they need large models for.

For companies, they understand their own business and how to use the big model, but they do not have a Starter APP. It is a huge cost to connect the big model from scratch, and they need to recruit specialists to conduct various trial and error.

Volcano Engine said that they open sourced large models and applications to users, which is equivalent to solving the cold start step.

2025 is the big year for applications. Volcano Engine believes that the focus of the entire industry will gradually shift from models to applications .

Volcano Engine also announced its recent open source plans . Volcano Ark said that it will open source many excellent applications in the next few weeks.

Now, Volcano Engine provides developers with a variety of discounts, including 671B DeepSeek R1! Enjoy the multi-modal capabilities of R1 and Doubao large models!