Search Results for "interview"

daily-interview is an open-source educational repository designed to help software engineers prepare for technical interviews through daily practice questions and curated learning materials. The project collects a wide range of interview questions related to algorithms, data structures, system design, and core computer science topics commonly tested by technology companies.

llm_interview_note is an open-source knowledge repository designed to help engineers prepare for interviews and deepen their understanding of large language models (LLMs). The project compiles structured notes, conceptual explanations, and curated interview questions related to modern NLP and generative AI systems. It covers fundamental topics such as the historical evolution of language models, tokenization methods, word embeddings, and the architectural foundations of transformer-based models. The repository also explores practical engineering concerns including distributed training strategies, dataset construction, model parameters, and scaling techniques used in large-scale machine learning systems. ...

...The guide covers topics such as agent frameworks, retrieval-augmented generation systems, multi-agent collaboration, memory management, and tool usage. It also includes practical projects, interview preparation materials, and curated research papers related to AI agents and LLM engineering. The project is designed not only for learning but also for career preparation, helping developers understand how to build portfolio projects and prepare for AI engineering roles.

...The repository aims to provide intuitive explanations and practical examples so readers can understand both the theoretical and applied aspects of large language models. In addition to technical explanations, it includes curated interview questions and discussion topics that help readers prepare for industry interviews related to machine learning and generative AI.