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LLM Interviews : Prompt Engineering

mburaksayici.com · published 14 May 2025

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Host
https://github.com/llmgenai/LLMInterviewQuestions
github.com
https://www.techtarget.com/searchenterpriseai/tip/Generative-AI-vs-predictive-AI-Understanding-the-differences
techtarget.com
https://www.youtube.com/watch?v=cQ54GDm1eL0
youtube.com
https://machinelearningmastery.com/impressive-applications-of-generative-adversarial-networks/
machinelearningmastery.com
https://blogs.nvidia.com/blog/ai-tokens-explained/
blogs.nvidia.com
https://www.harmdevries.com/post/model-size-vs-compute-overhead/
harmdevries.com
https://medium.com/@raniahossam/chinchilla-scaling-laws-for-large-language-models-llms-40c434e4e1c1
medium.com
https://www.edenai.co/post/understanding-llm-billing-from-characters-to-tokens/
edenai.co
https://lambdalabs.com
lambdalabs.com
https://modal.com
modal.com
https://aws.amazon.com
aws.amazon.com
https://cloud.google.com
cloud.google.com
https://azure.microsoft.com
azure.microsoft.com
https://openai.com
openai.com
https://www.anthropic.com
anthropic.com
https://cohere.com
cohere.com
https://mistral.ai
mistral.ai
https://www.ptolemay.com/post/how-much-does-chatgpt-integration-cost-and-pay-off
ptolemay.com
https://openai.com/api/pricing/
openai.com
https://www.reddit.com/r/LocalLLaMA/comments/176u53g/is_the_075_tokens_per_word_rule_of_thumb_general/
reddit.com
https://apxml.com/tools/vram-calculator
apxml.com
https://peterchng.com/blog/2024/05/01/why-do-llm-input-tokens-cost-less-than-output-tokens/
peterchng.com
https://www.greaterwrong.com/posts/PLf7tvzujaJ2A2r7N/what-the-cost-difference-in-processing-input-vs-output
greaterwrong.com
https://masteringllm.medium.com/demystifying-the-temperature-parameter-a-visual-guide-to-understanding-its-role-in-large-language-d9e8ea4b9956
masteringllm.medium.com
https://www.reddit.com/r/PromptEngineering/comments/18hhvi3/resources_that_dramatically_improved_my_prompting/
reddit.com
https://learnprompting.org/docs/basics/prompt_structure/
learnprompting.org
https://arxiv.org/pdf/2307.03172
arxiv.org
https://medium.com/@carolzhu/lost-in-the-middle-how-language-models-use-long-contexts-2891830f8000
medium.com
https://arxiv.org/abs/2505.06120
arxiv.org
https://www.linkedin.com/posts/bostjankaluza_ai-llms-promptengineering-activity-7328696089295896578-QaY7?utm_source=social_share_send&utm_medium=member_desktop_web&rcm=ACoAAB8CcdUBI21WSuAugHohPQGyOcI392dN1oA
linkedin.com
https://arxiv.org/abs/2005.14165
arxiv.org
https://www.promptingguide.ai/techniques
promptingguide.ai
https://www.digital-adoption.com/types-of-prompt-engineering/
digital-adoption.com
https://www.promptingguide.ai/techniques/prompt_chaining
promptingguide.ai
https://www.lakera.ai/blog/guide-to-hallucinations-in-large-language-models
lakera.ai
https://www.iguazio.com/glossary/llm-hallucination/
iguazio.com
https://en.wikipedia.org/wiki/Hallucination_(artificial_intelligence
en.wikipedia.org
https://www.machinelearningmastery.com/a-gentle-introduction-to-hallucinations-in-large-language-models/
machinelearningmastery.com
https://ai.plainenglish.io/hallucination-in-large-language-models-08871ba468d1?gi=a1d4dc5e0b44
ai.plainenglish.io
https://bookdown.org/tranhungydhcm/mybook/hallucination-control-techniques.html
bookdown.org
https://arxiv.org/abs/2401.11817
arxiv.org