DeepLearing-Interview-Awesome-2024

DeepLearing-Interview-Awesome-2024 is an open source interview question collection project, focusing on interview preparation in the field of deep learning algorithms and large models. This project is jointly maintained by community members and aims to provide the latest analysis of interview questions and answers to help job seekers and researchers gain an in-depth understanding of cutting-edge technologies and applications in the field of deep learning. It contains a wealth of interview questions, covering large language models, visual models, general questions and other aspects. It is a valuable resource for preparing for deep learning-related positions.

Demand group:

["Job seekers: Help prepare for technical interviews in the field of deep learning.","Researchers: Understand current research hot spots in academia and industry.","Students: Serve as supplementary materials for learning deep learning technology.","Professionals : Improve your professional skills in the field of deep learning "]

Example of usage scenario:

Job seekers use the program to prepare for Google's Deep Learning Engineer interviews.

Researchers use this project to understand current research trends in the field of deep learning.

Students deepen their understanding of deep learning theoretical knowledge and application scenarios through this project.

Product features:

Provide high-frequency algorithm interview questions and keep up with developments in academia and industry.

Contains interview questions in the field of large models, such as model fine-tuning, model structure, model optimization, etc.

The questions have certain content and depth, such as interview questions oriented towards business scenario improvement.

Thinking from the innovative points of the paper promotes learners' in-depth understanding.

Provide answer analysis to help learners understand the principles behind the questions.

Continuously update to keep information current and relevant.

Community driven, encouraging co-creation and contribution.

Usage tutorial:

Step 1: Visit the project page and browse the list of six major topics and topics.

Step 2: Choose the topic of interest and read the specific interview questions.

Step 3: View the answer analysis of the corresponding question and deeply understand the principles behind the question.

Step 4: Participate in community discussions and exchange interview experiences and technical insights with other learners.

Step 5: Pay attention to project updates and get the latest interview questions and industry trends.

Step 6: Use project resources to conduct mock interviews to improve interview skills.

Step 7: Contribute your own knowledge and experience to help improve the project content.