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

MarkTechPost www.marktechpost.com

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

More from www.marktechpost.com / MarkTechPost

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York