Synthetic Tasks for Long-Context LLM Evaluation
A prominent strategy for evaluating the specific capabilities of long-context LLMs involves the use of synthetic tasks. These tasks utilize artificially created or altered data to construct controlled scenarios that test a model's performance on particular long-range dependency challenges.
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Ch.3 Prompting - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Ch.2 Generative Models - Foundations of Large Language Models
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