km1994/LLMs_interview_notes
A collection of interview preparation notes and Q&A covering large language model fundamentals, architectures, and training techniques.
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This repository compiles interview questions and answers for LLM algorithm engineer positions. It covers fundamental LLM concepts including decoder-only versus encoder-decoder architectures, layer normalization methods (Layer Norm, RMS Norm, Deep Norm), training objectives, and comparative analysis of prominent models such as BART, LLaMA, GPT, T5, and PaLM.
Frequently asked
- What is km1994/LLMs_interview_notes?
- A collection of interview preparation notes and Q&A covering large language model fundamentals, architectures, and training techniques.
- Is LLMs_interview_notes open source?
- Yes — km1994/LLMs_interview_notes is open source, released under the Apache-2.0 license.
- How popular is LLMs_interview_notes?
- km1994/LLMs_interview_notes has 2.6k stars on GitHub.
- Where can I find LLMs_interview_notes?
- km1994/LLMs_interview_notes is on GitHub at https://github.com/km1994/LLMs_interview_notes.