How Can Ordinary People Overtake with AI on the Inside Track?

Recently, the hottest thing in the AI community is undoubtedly the release of Sora by OpenAI. Simply put, people can describe a scene to Sora, and it can generate videos in various styles and different frame sizes, up to 60 seconds long, with not only high-definition quality but also rich details. With its powerful features, it immediately sparked discussions worldwide.

Reflecting on the rise of ChatGPT to the explosive popularity of Sora, AI technology is rapidly infiltrating our lives, from basic research to consumer applications, everywhere. According to data from Statista, by the year 2025, the global market size for enterprise applications of artificial intelligence will welcome a growth of over 50%. Image recognition and tagging, medical data processing, localization and mapping, using algorithms and machine learning for predictions, intelligent recruitment and human resources systems, and so on, are all directions for enterprise applications of AI.

Moreover, the state team has also officially announced its participation: solidly promoting AI to rejuvenate industries. This means that industry development will accelerate its movement downstream, and for individuals, the opportunity to overtake others through AI is coming.

If the year 2023 is the inaugural year of AI, then 2024 will officially enter an explosive year! Everyone is pondering: What else can AI do? How can it be transformed into productivity?

What’s certain is that for developers, the ability to combine large-scale models with the business data of enterprises, and to develop AI large-model applications that empower enterprises, is definitely the direction for the future.

How can one become a technical developer who understands AI and is capable of practical application in the new era of large models?

We recommend the course produced by Geek Time, taught by Google developer expert Jing Tian Peng, called “AI Large-Model Application Development · Bootcamp“. Starting from practice, one-stop mastery of hardware, theory, the LangChain development framework, and project practical skills, it’s not just about making a simple Demo, but about constructing in-depth practical applications from various aspects such as application design thinking, development process, and subsequent iterations.

Recently, the course has been iteratively upgraded in cooperation with Zhishang AI, making the entire course close to 60 hours, where you can scan the code to understand the course outline and even receive a free 3-hour formal course trial.

????Scan to receive a free outline and trial of the course????

The newly upgraded course content

As an ever-evolving technology, the AI large-model course is also continuously updated and iterated:

Added over 10 hours of the latest technology analysis and practical courses

The newly added content includes the latest and hottest AI technologies and tools, such as the Assistants API and GPTs announced at the OpenAI Developers Conference, as well as the currently popular multimodal development. Additionally, there’s an introduction and hands-on guide to the production-level large model application development platform LangSmith, LangChain Expression Language (LCEL).

Added Zhishu AI GLM special topic

Another addition is a special topic designed and taught by Zhishu AI technical experts, which thoroughly analyzes the domestic GLM large-scale model technology.

Zhishu AI is undoubtedly known to all and can be said to be the only company that benchmarks against OpenAI in full. They recently launched the new generation of foundational large model GLM-4, with performance close to 90% of GPT-4, and in Chinese capabilities, GLM-4 has basically surpassed GPT-4 across the board.

The course will take you in-depth into Zhishu AI’s latest foundational large model GLM-4, practical invocation of the newest models in the “Zhishu AI large-scale model” family to implement specific functions. Finally, through two practical projects: “Optimizing RAG programs with GLM-4” and “Developing an emotional companion assistant using CogView and CharGLM,” you will gain hands-on experience with domestic large-scale model implementation.

Zhishu AI has provided free content and technical support for Geek Time’s “AI Large-Scale Model Application Development Combat Camp” and has designed and taught the [Zhishu AI GLM section]. This is also to enable more developers to understand domestic large-scale model technology and have the practical implementation experience of domestic large-scale models.

????Scan the code to get the course outline and trial for free????

Also, here is a freshly compiled 【AIGC Knowledge Base】

As a high-quality AI information source, it encapsulates the latest technologies and trends, and its content is constantly being updated! For example, the recently popular Sora, the library has updated a technical expert’s report interpretation and analysis video on Sora! In short, you will receive:

  • AI large-scale model knowledge graph
  • 1200+ AI tools and frameworks
  • One-stop tutorials for AI applications like MJ, SD, etc.
  • Classic AI open source projects, efficiency / creation / monetization cases

【Knowledge Graph】

AI large-scale model technology stack & technological panorama

【Stay Up-to-Date】

Includes the latest market trend dynamics, hot news, in-depth reports, industry quarterly reports, etc., all sorted into collections, providing a systematic view of in-depth analysis by industry leaders and understanding the current industry structure changes and value chain evolution!

【Complete AI Tools Collection】

With the rapid development of AIGC, a diverse array of AI tools with various functionalities is dazzling. This collection includes the most comprehensive, up-to-date, and mainstream tools, organized by use case.

【Classic Tutorials for Systematic Learning】

The resource has compiled the most mainstream tools, providing you with a thorough one-stop tutorial including models, registration, mirror sites, usage tips, debugging tips, and prompt words, enabling you to truly harness AI!

【Classic AI Projects + Cases】

Classic projects and libraries + cases of AI enhancing work, study, and life efficiency, creativity, and monetization.

【AIGC Speech PPT Collection】

Presentation manuscripts shared by industry experts at the QCon Global Software Developers Conference (with tickets valued at 8800 yuan) on the topics of AGI and AIGC implementation, as well as Dr. Lu Qi’s internet sensation presentation “New Opportunities in the Era of Large Models” PPT, to help you learn new knowledge and gain unique insights.

Acquiring this information is just the first step. We believe that by following along with the learning, not only can we master these tools and learn their simple applications but also enhance our technical strength and broaden our technical horizons. It is only by truly starting to practice and trying AIGC technology that we can keep pace with this wave.

↓↓↓Scan the code to receive all content↓↓↓

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