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 lilianweng.github.io
Extrinsic Hallucinations in LLMs | Lil'Log
| | haifengl.wordpress.com
LLM | Haifeng's Random Walk
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| | Generative artificial intelligence (GenAI), especially ChatGPT, captures everyone's attention. The transformerbased large language models (LLMs), trained on a vast quantity of unlabeled data at scale, demonstrate the ability to generalize to many different tasks. To understand why LLMs are so powerful, we will deep dive into how they work in this post. LLM Evolutionary Tree...
| | amatria.in
Mitigating LLM Hallucinations: a multifaceted approach - AI, software, tech, and people. Not in that order. By X
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| | (I recently turned this guide into a paper. You can find it here)
| | amatriain.net
Mitigating LLM Hallucinations: a multifaceted approach - AI, software, tech, and people. Not in that order. By X
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| | Introduction What we talk about when we talk about Hallucinations How to Measure Mitigating Hallucinations: a multifacted approach Product design approaches Prompt Engineering solutions Grounding with RAG Advanced Prompt Engineering methods Model Choices Reinforcement Learning from Human Feedback (RLHF) Domain adaptation through Fine-Tuning Conclusion: Yann vs. Ilya
| | www.frontiersin.org
Frontiers | Survey and analysis of hallucinations in large language models: attribution to prompting strategies or model behavior
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| Hallucination in Large Language Models (LLMs) refers to outputs that appear fluent and coherent but are factually incorrect, logically inconsistent, or entir...