@Lash_gif · Post #38895 · 05/26/2023, 06:26 PM
#girl | #bored Clb: #other
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Source channel @githubtrending · Post #14820 · Jun 11
#other This collection is a big set of open-ended questions about backend development, covering everything from code design and databases to security, teamwork, and even some fun, creative questions. The main idea is not to test for right or wrong answers, but to start conversations that help you understand how someone thinks, solves problems, and works with others. By using these questions, you can quickly see what topics a candidate knows well and how they approach new challenges, which helps you find the best fit for your team and project[2][3][4]. The benefit is that you get a clearer, more honest picture of a person’s skills and style, making it easier to choose the right developer for your needs. https://github.com/arialdomartini/Back-End-Developer-Interview-Questions
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@Lash_gif · Post #38895 · 05/26/2023, 06:26 PM
#girl | #bored Clb: #other
@Lash_gif · Post #38827 · 05/24/2023, 07:30 AM
#girl | #bored Clb: #other
@Lash_gif · Post #35424 · 01/10/2023, 07:41 PM
#girl | #bored Clb: #other
@Lash_gif · Post #41829 · 09/23/2023, 06:58 PM
#boy | #bored clb: #other
@Lash_gif · Post #41592 · 09/14/2023, 07:10 PM
#boy : #bored Clb : #other
@Lash_gif · Post #41248 · 08/29/2023, 08:26 AM
#boy | #bored Clb: #other
@Lash_gif · Post #41140 · 08/23/2023, 10:24 AM
#boy | #bored Clb: #other
@Lash_gif · Post #40917 · 08/16/2023, 08:21 AM
#boy | #bored Clb: #other
@Lash_gif · Post #38807 · 05/23/2023, 07:42 AM
#boy | #bored Clb: #other
@Lash_gif · Post #38350 · 05/04/2023, 10:31 AM
#boy | #bored Clb: #other
@Lash_gif · Post #35453 · 01/12/2023, 03:17 PM
#boy | #bored Clb: #other
@githubtrending · Post #14909 · 07/03/2025, 02:30 PM
#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm