- LLM Interviews : Prompt Engineering https://mburaksayici.com/blog/2025/05/14/llm-interviews-prompt-engineering-basics-of-llms.html 14 comments learnmachinelearning
Linked pages
- [2401.11817] Hallucination is Inevitable: An Innate Limitation of Large Language Models https://arxiv.org/abs/2401.11817 493 comments
- Cloud Computing Services - Amazon Web Services (AWS) https://aws.amazon.com 281 comments
- [2505.06120] LLMs Get Lost In Multi-Turn Conversation https://arxiv.org/abs/2505.06120 259 comments
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- OpenAI https://openai.com/ 150 comments
- Pricing https://openai.com/api/pricing/ 136 comments
- Cloud Computing Services | Google Cloud https://cloud.google.com 48 comments
- Home \ Anthropic https://www.anthropic.com/ 48 comments
- Cloud Computing Services | Microsoft Azure https://azure.microsoft.com 47 comments
- Modal: High-performance AI infrastructure https://modal.com/ 13 comments
- Rent Cloud GPUs from $0.2/hour https://runpod.io 4 comments
- You Won’t Believe What Obama Says In This Video! 😉 - YouTube https://www.youtube.com/watch?v=cQ54GDm1eL0 3 comments
- Mistral AI | Open source models https://mistral.ai/ 1 comment
- GPU Cloud, Workstations, Servers, Laptops for Deep Learning | Lambda https://lambdalabs.com/ 0 comments
- Hallucination (artificial intelligence) - Wikipedia https://en.wikipedia.org/wiki/Hallucination_(artificial_intelligence) 0 comments
- Go smol or go home | Harm de Vries https://www.harmdevries.com/post/model-size-vs-compute-overhead/ 0 comments
- [2307.03172] Lost in the Middle: How Language Models Use Long Contexts https://arxiv.org/abs/2307.03172 0 comments
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