Dachang starts the "robbery" war
Since the debut of ChatGPT at the end of November last year, major domestic manufacturers have been unable to sit still. According to incomplete statistics, dozens of companies such as Baidu, Ali, JD.com, Tencent, 360, and Kuaishou have officially announced that they have entered the ChatGPT field.
As a result, an "arms race" of large AI models was launched, and the industry's demand for top AI R&D talents exploded.
At present, the competition among major companies in AI talent recruitment is very fierce . A headhunter said that he has been recruiting NPL algorithm engineers for a leading Internet company since the beginning of February, and received nearly 100 resumes in just 3 days . At present, Dachang also entrusts headhunting companies to recruit more algorithmic positions.
Moreover, it seems to be a consensus in the industry that talents in the AI field are generally expensive . According to Zhilian big data, in the past five years, the salary of artificial intelligence recruitment has been on the rise and is significantly higher than that of the Internet. In 2022, the average annual salary of artificial intelligence recruitment is 331,500 yuan, and since 2023, the average annual salary of AI job recruitment has reached 425,100 yuan, which is more than 90,000 yuan higher than the previous year, and the employers are basically large Internet companies.
Open BOSS Zhipin, Zhaopin and other websites, and you will find that you search for keywords such as "ChatGPT" and "AIGC". The relevant recruitment positions are mainly NLP algorithm engineers. Around 16 salary.
As the hottest track in the technology field since the end of last year , the artificial intelligence industry is doing its part this year.
For the competition for AI talents, various companies have also tried their best, even throwing away a lot of money. Searching for ChatGPT-related positions on recruitment software , 58,000 yuan is not too much, and 16 salaries seem to be "standard".
At the same time, it is not easy to land an NLP algorithm post, and the competition is fierce. Needless to say , everyone wants to go to a core position in a good company.
So the fact is that if you want to go ashore, the threshold is gradually getting higher. Project experience and internship experience are very important. The sooner you understand this truth, the more you can build your own advantages in advance.
However, when I visited the knowledge area on Zhihu and Station B , I found that I often saw many students who were unable to practice due to some objective reasons . In this case, if you want to improve your background and increase your project experience , you can try this "NLP Algorithm Engineer Training Program" .
The advantage lies in the fact that under the leadership of the practical lecturers of BAT major manufacturers, the nanny level will take you to complete the real AI enterprise project (the core practical project in the NLP field).
Moreover, the plan promises: to ensure that the annual salary of the students is above 25w after the completion of the study, and the full refund if they do not get the offer
The number of places in this program is limited, and the offer is also limited in time . If you are interested in this program, please be sure to add a course consultant to lock the number of courses.
Scan the QR code to add a course consultant, and note " Consulting Course "
Learn now! The sword points to gold, nine and silver ten!
Core content of the course:
In order for the students to learn the technologies that can be used in the enterprise, all the teachers are actual combatants in the front line of the enterprise, have technical management experience, and have been responsible for large-scale core projects of the enterprise.
From the perspective of algorithms, the course gives a comprehensive and detailed explanation of each model, combined with 6 major enterprise-level real projects , covering various important fields of natural language processing, from basic machine learning to deep learning, BERT model and ChatGPT and other cutting-edge technologies , students can fully understand and master the core knowledge in the field of NLP.
NLP practical project
Project 1: Sentiment Analysis of Hotel Reviews
Project 2: Text keyword extraction
Project 3: Express delivery information extraction
Project 4: Custom chatbot
Project Five: SQL Generator
Project 6: Multimodal Image-Text Retrieval
Course harvest:
Natural Language Processing Expertise: Courses cover the principles, techniques, and practices of important areas of natural language processing (machine learning, deep learning, and various common models) . Students will learn how to preprocess text data, feature extraction and representation, and master common NLP tasks, such as text classification, named entity recognition and sentiment analysis.
Improvement of actual combat ability: The course focuses on practical application . Through a large number of actual combat cases and project practice , through hands-on practice, students can master the ability to solve practical NLP tasks . The knowledge points of the course cover common NLP engineering libraries, such as NLTK, Spacy, and Pytorch.
Master the latest technology and research results: The courses keep up with the latest developments and research frontiers in the industry , covering the latest technologies and applications such as BERT model, T5 model and ChatGPT . The course can help students gain a deeper understanding of the latest developments in the field of NLP , and provide strong support for future work and research.
Since the knowledge points cover a lot of content, I won’t go into details here. If you want to learn more, you can customize your own improvement plan.
Scan the QR code to add a course consultant, and note " Consulting Course "
1v1 customized study plan
Past training results:
The employment situation of the trainees in the last phase of this training plan is shown in the part. At present, 80% of the students have received offers related to AI and algorithms. There are fresh graduates and transition personnel in other fields. Statistics show that the average salary of employed students exceeds 270,000.
The status of some students in the past: In order to protect the privacy of the students, the names and avatars of the students are hidden.
1. Ding is an ordinary undergraduate. Before studying, he was worried about whether he could find a job due to his age and education background. However, after finishing his studies, he successfully transitioned to the AI field, and his annual salary increased from 250,000 to 530,000!
2. Lu Tong was working in Beijing. At that time, his annual salary was 21w before he signed up. The test transitioned to AI algorithm, which was not a professional class. After the transformation, his salary directly rose to nearly 40w.
3. Yu, a classmate with a bachelor’s degree, did embedded development before the transformation. At that time, the annual salary was 190,000, and the foundation in mathematics was not very good. After studying our courses, he successfully got a job and successfully got an annual salary of 400,000, which was doubled!
4. Han, a fresh graduate, was always worried about the quality of courses and employment issues in the later stage. After several months of study, he successfully got 26k natural language processing algorithm offers and an offer from Xiaomi.
5. Shangguan students began to understand the courses in the second half of the second half of the year, and wanted to learn algorithm courses. They started looking for internships at the beginning of the third year of research, and went directly to Netease. They got an offer of 28k for the internship. Now they have become regulars and their salary has increased to 32k.
Installment and Employment Services:
This course can provide students with 3, 6, and 12 installments, and during the activity period, some installments can be discounted. Free installments! !
Students who sign up for courses sign an agreement at the beginning of registration. If they fail to get an offer after completing the course or their initial employment pre-tax salary is less than 250,000 yuan per year, all tuition fees will be refunded.
Scan the QR code to add a course consultant, and note " Consulting Course "
Lock interest-free installment quota
No reason refund within 7 days after registration:
Within 7 days after signing up for the official course, students can apply for a refund and all tuition fees will be refunded without reason.