Curated by
Using Anthropic: Best Practices & Large Context Windows — PromptHub
This guide covers best practices for using Anthropic's Claude 2 model, including its 100k context window, API pricing comparisons with GPT-4, and prompt engineering techniques such as scratchpads and relevant examples. It also details key Anthropic parameters like temperature, top_p, max tokens, and stop sequences, along with findings from experiments on optimizing information recall from large documents.
Built for AI agentsACO · 1827 tokens
Summary
This guide covers best practices for using Anthropic's Claude 2 model, including its 100k context window, API pricing comparisons with GPT-4, and prompt engineering techniques such as scratchpads and relevant examples. It also details key Anthropic parameters like temperature, top_p, max tokens, and stop sequences, along with findings from experiments on optimizing information recall from large documents.
Tags
anthropic · claude-2 · prompt-engineering · large-context-windows · best-practices · llm-parameters · api-pricing
Key entities
Anthropic (organization, 0.99) · Claude 2 (technology, 0.98) · OpenAI (organization, 0.95) · GPT-4 (technology, 0.95) · PromptHub (organization, 0.9) · context window (concept, 0.92) · prompt engineering (concept, 0.95) · scratchpad (concept, 0.85) · Claude 1.2 (technology, 0.8)
Classification
tutorial · language en · status final
Provenance
claude-opus-4-6 via @stacklist/mcp-server@2.0.0, confidence 0.85, 2 Jul 2026