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Copyright, AI, and Provenance

O'Reilly Media

Another group of cases involving text (typically novels and novelists) argue that using copyrighted texts as part of the training data for a Large Language Model (LLM) is itself copyright infringement, 1 even if the model never reproduces those texts as part of its output. That’s a nice image, but it is fundamentally wrong.

AI 102
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Anthropic Claude 3.5 Sonnet ranks number 1 for business and finance in S&P AI Benchmarks by Kensho

AWS Machine Learning Blog

Limitations of LLM evaluations It is a common practice to use standardized tests, such as Massive Multitask Language Understanding (MMLU, a test consisting of multiple-choice questions that cover 57 disciplines like math, philosophy, and medicine) and HumanEval (testing code generation), to evaluate LLMs.

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The Hallucination Problem of Large Language Models

Mlearning.ai

Why do LLMs Hallucinate? How can we Reduce LLM Hallucinations? When do LLMs Hallucinate the Most? Check out my recent paper on detecting and mitigating hallucinations of LLMs. How can we Reduce LLM Hallucinations? Are Hallucinations Always Undesirable? What are the different Types of Hallucinations?