Dec. 9, 2023, 7 p.m. | Madhur Garg


This research tackles an inherent challenge in Claude 2.1‘s functionality: its reluctance to answer questions based on individual sentences within its extensive 200K token context window. This hesitancy poses a significant hurdle in maximizing the model’s recall capacity, prompting the exploration of a solution. Examining current methods reveals Claude 2.1’s hesitation when confronted with questions […]

The post Recent Anthropic Research Tells that You can Increase LLMs Recall Capacity by 70% with a Single Addition to Your Prompt: Unleashing the …

ai shorts anthropic applications artificial intelligence capacity challenge claude claude 2 claude 2.1 context context window editors pick language model large language model llms machine learning power prompt prompting questions recall research staff tech news technology through token

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