"Wenxin Qianfan large-scale model platform is open for testing, providing enterprises and individuals with a full-process large-scale model tool chain"

A word of positive energy every day

Different lives have different happiness. Find out what luck you have, stop complaining about God's injustice, and grasp your own happiness. You, me, all of us can experience a happy life.

foreword

In today's digital age, data is increasingly becoming one of the key factors for the success of businesses and individuals. Therefore, big data technology and artificial intelligence technology are getting more and more attention. Enterprises and individuals need to use large models for data training and reasoning to effectively analyze data and make correct decisions. In this context, Baidu Smart Cloud launched the world's first one-stop enterprise-level large-scale model platform - Wenxin Qianfan large-scale model platform.

Wenxin Qianfan large-scale model platform provides a full-process tool chain and a complete set of environments to support enterprises and individuals in large-scale model training and reasoning, and can directly call Wenxin Yiyan service, and can also develop, deploy and call their own large-scale model services . This enables companies and individuals to use big data and artificial intelligence technologies more efficiently, improving the accuracy and efficiency of data analysis and decision-making.

We sincerely invite all developers to participate in the test application of the Wenxin Qianfan large-scale model platform, experience the functions and performance of the platform, and provide valuable opinions and feedback. We believe that with your participation and support, Wenxin Qianfan large-scale model platform will become more and more perfect and excellent.

Wenxin Qianfan large-scale model platform structure

The structure of Wenxin Qianfan large model platform can be divided into three parts, namely training part, reasoning part and plug-in service part.

The training section provides the full-process toolchain and the entire environment required for training the model, including data preprocessing, model design, hyperparameter tuning, model training, and other functions. Users can complete the training of the model in this section.

The reasoning part provides the full-process toolchain and a complete set of environments required for model reasoning, including model deployment, reasoning service deployment, reasoning data preprocessing, and other functions. Users can complete model evaluation and reasoning in this part.

The plug-in service part provides plug-in extension and customization services, including custom training plug-ins, inference plug-ins, model optimization plug-ins, etc. Users can develop and deploy different types of plug-ins according to their own needs, so as to achieve more refined and personalized large-scale Model service.

In general, Wenxin Qianfan large model platform provides a complete large model training and inference solution, and also supports plug-in services, providing users with more flexible and customizable large model services.

The structure is shown in the figure below:

The function of Wenxin Qianfan large model platform

Wenxin Qianfan large-scale model platform provides the following main functions:

1. Large model training: The platform supports various types of large model training, including deep learning models, machine learning models, image processing models, etc.

2. Large model reasoning: The platform supports reasoning on trained large models and can process multiple reasoning requests at the same time.

3. Custom service: Users can develop, deploy and call their own large model services according to their business needs.

4. Wenxin Yiyan service: Users can directly call Wenxin Yiyan service to obtain beautiful text content.

5. Toolchain support: The platform provides full-process toolchain support, including tools for data processing, training, and reasoning.

6. Environment configuration: The platform provides a complete environment configuration, including system environment, software environment and hardware environment.

7. Visual console: The platform provides a visual console to facilitate users to view and manage the training and inference of large models.

8. Security: The platform provides a variety of security measures, including data encryption, access control, etc.

Wenxin Qianfan Large Model Platform Experience

Personal fuzzy experience:

1. Large model training and inference: According to user feedback, the large model training and inference functions provided by the platform are very stable and efficient, with fast processing speed and high accuracy. At the same time, the platform provides a variety of algorithms and model options to meet the different needs of users.

2. Custom service: Users can develop, deploy and call their own large model services according to their business needs. According to user feedback, this function is easy to operate and easy to use, and can quickly meet business needs.

3. Wenxin Yiyan service: Users can directly call Wenxin Yiyan service to obtain beautiful text content. According to user feedback, the service quality is high, the content quality is excellent, and it is worth using.

4. Toolchain support: The platform provides full-process toolchain support, including tools for data processing, training, and reasoning. According to user feedback, this function is simple to operate, easy to use, and improves work efficiency.

5. Environment configuration: The platform provides a complete environment configuration, including system environment, software environment and hardware environment. According to user feedback, the configuration of this function is simple and the environment configuration can be completed quickly.

6. Visual console: The platform provides a visual console to facilitate users to view and manage the training and inference of large models. According to user feedback, this function has a friendly interface, simple operation, and can provide real-time monitoring and management.

7. Security: The platform provides a variety of security measures, including data encryption, access control, etc. According to user feedback, this function is highly secure and effectively protects user data.

The platform provides plug-in services, which can help users quickly expand and customize their own large-scale model services. Specifically, the platform supports custom training plug-ins, inference plug-ins, and model optimization plug-ins. Users can develop and deploy different types of plug-ins according to their own needs, so as to achieve more refined and personalized large-scale model services. In addition, the platform also provides some developed plug-ins, such as plug-ins for preprocessing text data, plug-ins for annotating image data, etc. These plug-ins can help users quickly build their own large-scale model services, improving work efficiency and model accuracy. In general, plug-in service is an important function of Wenxin Qianfan large-scale model platform, which provides users with more flexible and customizable large-scale model service solutions.

Wenxin Qianfan large model platform provides the function of automatically generating code. Through this function, users can automatically generate corresponding codes during the process of model training and reasoning without manual writing, thereby improving operational efficiency and reducing the risk of errors. This function supports multiple programming languages, including Python, Java, C++, etc. Users can choose a programming language that suits them according to their preferences and needs, and easily generate corresponding codes.

Generally speaking, users have given high praise to the various functions of Wenxin Qianfan large-scale model platform.

document

I took a look at the documentation. The documentation of this product is relatively complete, and it provides a wealth of product introductions, instructions, and operation guides, so that users can quickly get started using the platform. At the same time, the platform also provides technical support and customer service, providing users with one-on-one technical guidance and answering questions. On the whole, the documentation and technical support services of this product are relatively complete, which will help users quickly understand and use the platform.

IDC's "AI Large-scale Model Evaluation Report", Wenxin's large-scale model ranks first in the class

At the same time, the international authoritative IDC released the industry's first large-scale model assessment report - "AI Large-scale Model Technical Capability Assessment Report, 2023".

In the report, IDC evaluates the capabilities of large models from multiple dimensions, and divides large models into three layers: service ecology, product technology, and industry applications.

Each indicator has five levels from 1 point to 5 points. The higher the score, the stronger the technical capability of the manufacturer's large-scale model.

It is worth mentioning that Baidu Wenxin Big Model 3.5 scored 7 full marks in 12 indicators, ranked first in comprehensive score, algorithm model and industry coverage.

These three absolute firsts reflect the depth of basic technology and the breadth of industrial application coverage of Baidu Wenxin's large model.

According to the IDC report, the overall competitiveness of Baidu's AI large-scale model is at a leading level, with obvious advantages in model capabilities, tool platforms, ecological layout, and industry coverage, and it has entered the exploration stage of commercialization in advance.

From the release of Wenxin Yiyan on March 16 to May, the "core" Wenxin model of Wenxin Yiyan has been upgraded to version 3.5.

It realizes basic model upgrades, fine-tuning technology innovations, knowledge point enhancements, logical reasoning enhancements, plug-in mechanisms, etc. The model effect has been improved by 50%, the training speed has been increased by 2 times, and the reasoning speed has been increased by 30 times.

Since Wenxin Large Model 3.5 is the core of Wenxin Yiyan, let us take a look at the V2.2.0 version of Wenxin Yiyan, which was launched on June 30, 2023. What is so strong about it?

Wenxin large model 3.5, fully upgraded functions

This time, the biggest change after the upgrade of Wenxin Yiyan is the new "plug-in" function.
It can be said that the plug-in is like adding a layer of buffs to the large models, and the imprisoned abilities are released instantly.

For example, the Code Interpreter carried by GPT-4 is so powerful that many people even say that it should be called GPT-4.5.

Wen Xin said, of course, the blessing of powerful plug-ins is also indispensable.

Retrieval (hotspot real-time tracking)

In terms of search technology, Baidu has accumulated a lot of advantages.

Behind the "Baidu Search" plug-in is a stronger search technology and a stronger search underlying architecture.

After integrating the plug-in, the Wenxin Model 3.5 can now know all the information in every corner of the Internet.

For example, in today's breaking news, Meta has released the open source and free commercial Llama2, and has also cooperated with Microsoft's cloud service Azure and Qualcomm chips. So what changes will this bring to the pattern of large models around the world?

Wen Xin pointed out that Meta has regained its influence in the field of AI, and the business model of the big model has also been completely changed.

What impact will Meta's move have on the business landscape of OpenAI and Google?

Wenxin summed it up comprehensively and thoroughly—increasing competitive pressure, stimulating innovation, expanding market share, and accelerating industry change.

Combining the capabilities of search and large models, you can become a business analyst in minutes.

Documents (PDF/Word are both acceptable)

In addition to networking, Baidu also added a ChatFile plug-in to Wenxin Yiyan this time.

After uploading a document, users can perform question-and-answer retrieval and summary summaries of the content as long as they use natural language.

Moreover, through the answer of this ultra-long document, ChatFile can greatly expand the length of the text processed by the model.

During use, ChatFile will carry out semantic indexing and vectorization database building for each paragraph of the document.

Recently, the Liepin Big Data Research Institute released the "AIGC Employment Trend Big Data Report 2023". What are the core contents? Upload a document, and Wenxin can help you make a quick and good summary in just a few seconds.

You can also let it give you a summary of the details of the document.

Or let Wenxin Yiyan help you summarize an arXiv paper.

With Wenxin Yiyan's ChatFile plug-in, it saves time and effort to read papers in the future.

Learn more about the big model of Chinese people

In Wen Xin's words, it is obviously a large model that is more suitable for the physique of Chinese babies.

Whether it is classical Chinese, or the creation of social media copywriting such as Zhihu and Xiaohongshu, of course our own Chinese large models are best at it.

The evolved Wenxin model 3.5 is close to GPT-4

"Thirty Thousand Miles of Chang'an", which is currently being screened, reproduces the ultimate romance of the Tang Dynasty for us.

The young and vigorous Li Bai had many ups and downs in his fate.

"A Light Boat Has Passed Ten Thousand Mountains" that he wrote once again became the focus of everyone's attention.

What was the state of mind of the exiled immortal Li Bai when he wrote this poem?

In the performance of traditional Chinese culture such as poetry and songs, Wen Xinyiyan can be said to be quite outstanding.

Not only the answers are fluent, but also the meaning and beauty of the poems can be analyzed.

Even words that are difficult (kao) to pronounce (dian) are marked with pinyin.

On the GPT-4 side, it can be called a "stitch monster".

On the one hand, there is nothing about the original Cao Cao in the whole article, and the "To Wang Lun" written by Li Bai is attached to Lu You.

On the other hand, the completion of the verse is even more bizarre. The first four sentences are fine, but after the fifth sentence, GPT-4 begins to let itself go...

For another example, in the Northern Song Dynasty writer Ouyang Xiu's "Birth of Chazi·Yuanxi", which traditional festival is described in "The head of the willow on the moon, and the appointment after dusk"?

Wen Xin said: Lantern Festival.

GPT-4 not only misjudged it as the Mid-Autumn Festival, but also "wrote" a song "Linjiang Fairy Manjianghong" for Su Shi...

In addition, Wen Xinyiyan is also quite good at understanding idioms.

In contrast, GPT-4 once again fell into its own hallucinations.

Chinese creation, comprehensive development

When it comes to writing ancient poems, the Wenxin Model 3.5 also outperforms GPT-4.

For example, write a Tibetan acrostic poem with "Missing without a period".

Wen Xin's words not only hid his head perfectly, but also expressed the pain of parting and the sorrow of missing the king.

The Tibetan acrostic poems written by GPT-4 are much inferior in comparison.

In a word: To write poetry, we still have to look at our own big model!

In addition, Wenxinyiyan is not only a "master of literature", but also a "master of copywriting", who can create suitable copywriting according to the style and tonality of different platforms.

Answer in Zhihu style: "What kind of experience is it to get a bad deck of cards in life and play it well?"

As soon as the word "thank you for the invitation" came out, you knew it was old Zhihu er when you opened your mouth.

There are a lot of content in the back, such as writing film reviews, the home of older programmers, playing tricks, it is unique, drawing ability, greatly improved mathematical code, role-playing, multi-modal generation, and the efficiency assistant that workers love, etc. There are too many of these, so I won’t write them in detail one by one. Those who are interested in children’s shoes can experience them for themselves. very funny.

postscript

Thank you for reading this article about Wenxin Qianfan large-scale model platform. As a one-stop enterprise-level large-scale model platform, Wenxin Qianfan provides a full-process tool chain and a complete environment, enabling users to easily complete large-scale model training and inference. At the same time, the platform also provides the function of automatically generating code, allowing users to develop and deploy more conveniently.

In the process of using Wenxin Qianfan large-scale model platform, I found that it is really a very powerful tool. The full-process tool chain and complete environment for large-scale model training and reasoning provided by it allow me to complete my work very conveniently, and the function of automatically generating code also saves me a lot of time. In addition, the Wenxin Qianfan platform also provides one-on-one technical support services, which are very considerate. In short, I am very satisfied with Wenxin Qianfan large-scale model platform, and I look forward to it getting better and better in the future.

Reprinted from: https://blog.csdn.net/u014727709/article/details/131873605
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