LangChain and ChatGLM Local Q&A Bot Development Project

In the current field of artificial intelligence research and applications, large model technologies such as Transformer, BERT, and the GPT series have become the core technological drivers. LangChain and ChatGLM, as applications based on large models, provide new ideas and solutions in the fields of Q&A systems and dialogue systems.
To adapt to this trend, we need to keep up with the cutting-edge technology. If university teachers want to strengthen practical teaching and improve students’ practical and innovative abilities, then don’t miss the following training course.
In the summer of 2024, the China Software Testing Center and Jiangsu ChuanZhi BoKe Education Technology Co., Ltd. will jointly hold a training project on artificial intelligence (large model development and application)“LangChain and ChatGLM Local Q&A Bot Development” activity.
This course will start from the basic theory of large models, delving into the specific implementation and application of LangChain and ChatGLM, introducing how to use these cutting-edge technologies to develop practical local knowledge Q&A bots.
Helping teachers systematically master the basic knowledge of large models, understand the use of LangChain, the architecture of ChatGLM, how to fine-tune, learn how to utilize LangChain and ChatGLM to achieve complex knowledge Q&A tasks, and through project practice, master how to develop Q&A bots.
LangChain and ChatGLM Local Q&A Bot Development Project

Multiple highlights help you master the complete technical stack

This project starts with the basic architecture of large models, understanding their technological evolution, commonly used open-source models and their fine-tuning methods. In particular, it provides a detailed introduction to the specific applications of the LangChain framework and ChatGLM series models in knowledge Q&A and dialogue systems, and uses the LangChain+ChatGLM model to build a locally running Q&A bot.
The project featuresa comprehensive analysis of large models from theory to practice and their applications in NLP, practical applications of LangChain and ChatGLM, and the construction of end-to-end chatbots among other highlights.
LangChain and ChatGLM Local Q&A Bot Development Project

△ Basic principles of the project

LangChain and ChatGLM Local Q&A Bot Development Project

△ Project process

LangChain and ChatGLM Local Q&A Bot Development Project

Value-added gains

In addition to gaining rich knowledge and skills, participating teachers who pass the exam will receive a certificate of professional skills training from the China Software Testing Center (Ministry of Industry and Information Technology Software and Integrated Circuit Promotion Center)【Information Technology Talent Training Project—NITE Professional Skills Training Certificate】 (if they pass the exam).

LangChain and ChatGLM Local Q&A Bot Development Project

and a 【Double Teacher Training Completion Certificate】 issued by Jiangsu ChuanZhi BoKe Education Technology Co., Ltd.

LangChain and ChatGLM Local Q&A Bot Development Project
LangChain and ChatGLM Local Q&A Bot Development Project

Course details

LangChain and ChatGLM Local Q&A Bot Development Project

LangChain and ChatGLM Local Q&A Bot Development Project

Registration channel:

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LangChain and ChatGLM Local Q&A Bot Development Project

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LangChain and ChatGLM Local Q&A Bot Development Project

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LangChain and ChatGLM Local Q&A Bot Development Project

5 Registration Benefits

1. Registration grants access to hundreds of GB of system course resources;
2. Free access to multiple expert seminars to broaden horizons while learning;
3. Free provision of 2 high-quality public classes to help teachers solidify students’ learning outcomes;
4. Free provision of school-enterprise professional construction consulting services to help schools implement policies;
5. Free opening of an integrated teaching and auxiliary platform account on the Campus Bang platform, where you can obtain hundreds of teaching resources for free, including: teaching design, teaching outlines, PPT presentations, supplementary cases, question bank functions, etc., to safeguard course teaching.
LangChain and ChatGLM Local Q&A Bot Development Project

LangChain and ChatGLM Local Q&A Bot Development Project

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