Praveen76 / LLMs-Interview-Prep-Guide
Welcome to the LLMs Interview Prep Guide! This GitHub repository offers a curated set of interview questions and answers tailored for Data Scientists. Enhance your understanding of Large Language Models, prepare for technical interviews, and excel in the evolving landscape of data science with a focus on LLM applications.
β131Updated last year
Alternatives and similar repositories for LLMs-Interview-Prep-Guide:
Users that are interested in LLMs-Interview-Prep-Guide are comparing it to the libraries listed below
- π£ LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.β386Updated 9 months ago
- Notes and commented code for RLHF (PPO)β84Updated last year
- RAG-VectorDB-Embedings-LlamaIndex-Langchainβ216Updated 4 months ago
- π£ NLP interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.β53Updated last year
- Direct Preference Optimization from scratch in PyTorchβ90Updated this week
- Curated list of weekly published LLM papersβ155Updated last month
- Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data β¦β55Updated last year
- Sample notebooks and prompts for LLM evaluationβ124Updated 4 months ago
- Possibly futile attempt at grounding hype with theory and fundamentalsβ30Updated 6 months ago
- The "LLM Projects Archive" is a centralized GitHub repository, offering a diverse collection of Language Model Models projects. A valuablβ¦β54Updated 2 months ago
- β298Updated last week
- A curated list of Large Language Model with RAGβ79Updated last year
- LLM (Large Language Model) FineTuningβ523Updated last week
- A curated list of retrieval-augmented generation (RAG) in large language modelsβ256Updated last month
- Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI mβ¦β216Updated last year
- β80Updated last year
- β84Updated 6 months ago
- Explore a comprehensive collection of resources, tutorials, papers, tools, and best practices for fine-tuning Large Language Models (LLMsβ¦β288Updated 4 months ago
- Direct Preference Optimization Implementationβ16Updated last year
- A collection of LLM related papers, thesis, tools, datasets, courses, open source models, benchmarksβ52Updated 6 months ago
- A set of scripts and notebooks on LLM finetunning and dataset creationβ105Updated 6 months ago
- [ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuningβ352Updated 7 months ago
- π£ PyTorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.β94Updated last year
- β175Updated last year
- A comprehensive guide to LLM evaluation methods designed to assist in identifying the most suitable evaluation techniques for various useβ¦β104Updated last week
- This playlab encompasses a multitude of projects crafted through the utilization of Large Language Models, showcasing the versatility andβ¦β111Updated this week
- β86Updated last year
- β59Updated 6 months ago
- LLM Workshop by Sourab Mangrulkarβ373Updated 9 months ago
- AI algorithmsβ137Updated 7 months ago