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AI Prompt Engineering: Mastering LLMs with Lore's Time Travel Features
AI prompt engineering is revolutionizing how we interact with large language models (LLMs). But crafting effective prompts can be a tedious process. Enter Lore, a versatile macOS GPT-LLM playground designed for seamless prompt engineering and LLM exploration. Lore empowers users with multi-model time travel, version control for prompts and outputs, and combinatorial runs to discover optimal solutions. Its powerful features include full TeX search, model-cost aware API integration, token stats analysis, custom endpoints, local model support, and even a sandbox environment. Built with privacy in mind using Cocoa, SwiftUI, and SQLite, Lore offers an intuitive interface with Vim mode and shortcuts for enhanced efficiency. Developed by William Dar, Lore provides ongoing support and feedback, making it the ideal tool for anyone seeking to master the art of AI prompt engineering.
Pricing
Lore's pricing is based on the number of tokens used in a GPT-4 powered response. Each token costs $0.090, with an additional fixed fee of $1.00 per request. The site provides information about the response length (in tokens) and the frequency penalty applied to the response. Here's a breakdown: Pricing Model: Token-based Token Cost: $0.090 per token Fixed Fee: $1.00 per request Response Length: Measured in tokens Frequency Penalty: Applied to responses, influencing the cost
Credit-Based
$0.09
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