Anthropic’s New Method to Increase Context Window Lenght of LLMs!
AI Summary
Summary: Anthropics’ New Prompting Method for CLAUD 2.1
- Anthropics released a blog post about increasing the context window of CLAUD 2.1.
- A single sentence added to prompts can improve the model’s recall by 70%.
- CLAUD 2.1’s score improved from 27% to 98% on a 200k context window with the new prompt.
- The new sentence in the prompt helps CLAUD 2.1 identify relevant information in large contexts.
- The blog post leads into a video discussing prompt engineering with CLAUD 2.1.
- The video offers access to a private Discord, AI tool subscriptions, networking, and AI consulting services.
- CLAUD 2.1 features a 200k token context window, equivalent to 500 pages.
- It excels in tasks requiring retrieval of information from long documents.
- CLAUD 2.1 has reduced hallucination rates and improved response accuracy.
- The model underwent training with real-world tasks and documents, focusing on minimizing errors.
- A new prompting method was developed to enhance CLAUD 2.1’s recall capabilities.
- An in-house experiment tested CLAUD’s response to a fictitious holiday, revealing the need for improved prompting.
- The new prompting method allows for better results by guiding the model to relevant sentences.
- The method overcomes CLAUD’s reluctance to answer questions based on isolated sentences.
- The Yahoo Vib example demonstrates the success of the new prompting strategy.
- CLAUD 2.1 outperforms other models like GPT-4 in tasks with large context windows.
- Links to the new prompting method and further resources are provided in the video description.
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