After the AI wave hit, there was an endless stream of "heavy" and "shocking" news in the media every day. Every friend who comes into contact with AI has deep feelings:
1. Shocked by the capabilities of AI
2. Shocked by the development speed of AI
3. Being overwhelmed by explosive information
4. Own anxiety and stress
Indeed, in the past year or so, there have been new technological advances in AI almost every once in a while, from revolutionary AI painting, to intelligent conversation assistants, to the launch of Assistants API, etc., refreshing people's knowledge every day.
At the same time, it also triggered a wave of domestic AI large model entrepreneurship. Alibaba, iFlytek, Byte, Huawei... more and more major manufacturers are participating in this large model competition, and the trends and strategies of these companies will directly affect Job demand and recruitment market.
The key is here, as ordinary people, how should we deal with it? In other words, is there still a chance to deal with it?
Not to mention that you must also feel that everyone who has interacted with AI is "rolling",Basically all company bosses are thinking about how to use AI to "reduce costs" "Efficiency enhancement", which is of course reasonable and necessary for company operations; of course, it is self-evident what this means to ordinary employees.
So, rather than "crisis", the right way is to focus on "How to use AI to upgrade core competitiveness? Realize business value" .
1. Everyone should improve their knowledge of the field of AI
2. Get started with AI
3. Take the initiative to introduce AI tools into your work
What we want to do is to try how to break the boundaries of productivity based on machines. For example, some people around me have not yet figured out what AIGC is, but some have already improved their work efficiency by 10 times through various intelligent tools; some have helped their companies develop large model applications based on their own business data; some have have started to make money through AIGC as a side job.
So, instead of being anxious, it is better to strive to become a "technical person who controls AI tools." After all, in the AI era, whoever tries it first will seize the opportunity.
The various AI materials, documents, tutorials, paid planets, and communities on the Internet are so dazzling that you may be suspicious of "cutting leeks." In my opinion, no matter how much information there is, it is not as good as onehigh-quality information source + following reliable practical pioneers, and I would like to share a piece of geek time here< /span>Officially compiled [AIGC Knowledge Base] + Dr. Chen Yang’s [From LLM Principle Analysis to Handwriting Implementation of ChatPDF] course.
[From LLM principle analysis to handwriting implementation of ChatPDF]
This course is taught by Chen Yang, who has a PhD in computer science from Tsinghua University and has been deeply involved in the field of AI for many years, and is a former engineer at IBM China Research Institute. It starts from the analysis of the underlying principles of large language models to the comparison between foreign large models and domestic large models such as Wen Xinyiyan and iFlytek Spark. Comparison; Finally, we will get started with practical implementation of ChatPDF using LangChain and ChatGLM. After studying you will get:
Understand the respective characteristics of generative pre-training Transformer, BERT, ERNIE and other models
Familiar with the principles of Embedding
Master how to use Indexes
Ability to develop practical applications with LangChain and ChatGLM
↓↓↓Scan the code to get it for free↓↓↓
【AIGC Knowledge Base】
As the threshold for using tools becomes lower, what will be scarce in the future is by no means basic execution, but "insights, ideas, insight, and high-end judgment." It can be said that in the future AI-assisted programming, AI writing, AI-generated pictures, Mj intelligent P-pictures, etc., are all workplace skills that must be mastered, just like using Word and Excel. Speaking of the most practical, you can get these:
AIGC latest technology and trends
1200+ AI tools and frameworks
One-stop tutorial for MJ, SD and other AI applications
AI classic open source projects, work efficiency improvement / sideline monetization cases
↓↓↓Scan the code to get it for free↓↓↓
1.【Chasing the cutting edge】
The latest market pattern trends, hot news, in-depth reports, industry quarterly reports, etc. are classified into a collection in the data, allowing you to systematically see in-depth interpretations by industry leaders and understand the current changes in the industry pattern and industry value chain changes!
2.【AI Tools Collection】
With the rapid development of AIGC, there are a wide variety of AI tools with various functions. The most comprehensive, latest, and mainstream tools are collected in the data and classified according to their uses.
3.【Classic Tutorial Systematics】
The information has been organized on the most mainstream tools at present, and provides you with a complete one-stop tutorial on models, registration, mirror sites, usage skills, debugging skills, prompt words, etc., so that you can really use AI!
4. [AI classic projects + cases]
Classic projects and libraries + AI-related work/study/life efficiency improvement cases, creation, and monetization cases.
5.【AIGC Speech PPT Collection】
QCon Global Software Developers Conference (tickets are worth 8,800 yuan). Speeches about the implementation of AGI and AIGC shared by industry celebrities, and Dr. Lu Qi’s PPT "Sharing New Opportunities in the Era of Large Models" that filled the Internet will help you learn new knowledge. , see unique insights.
Obtaining this information is only the first step. I believe that as long as we follow along, we can not only play with these tools and learn simple applications, but also enrich our technical strength and broaden our technical horizons. Only by truly starting to practice and try AIGC technology can we truly keep up with this wave.
↓↓↓Scan the QR code to get all content for free↓↓↓
