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  • One long detailed prompt vs multiple smaller prompts?
    My experience is that the best result is from 1 specific question in a chat window The longer and more descriptive the question in the prompt, the better If I really want to know something, I write the prompt in a text file, edit it until satisfied then paste it into the chat
  • Practical prompt engineering for smaller LLMs - web. dev
    Due to API differences and token limits, you'll likely need more time and effort to craft your prompt for a smaller LLM than a larger one Testing and validating the LLM's output may also be higher effort Prompt engineer versus fine tuning? For web developers, prompt engineering is our preferred way of leveraging generative AI over custom
  • What Happens If the Prompt Exceeds 8,196 Tokens? And . . .
    Also, I'm curious about the difference between the input limit and the context length limit Since LLaMA 3 has a context length of 128k tokens, does that mean we can use iterative prompting strategies to process longer texts effectively? If so, how does the model handle prompts that exceed the input limit within a single request?
  • Prompting Fundamentals and How to Apply them Effectively
    While a basic prompt like prompt 1 might work, we can improve the model’s accuracy by providing it with a role (prompt 2) or responsibility (prompt 3) The additional context in prompts 2 and 3 encourages the LLM to scrutinize the input more carefully, thus increasing recall on more subtle issues Is this image generation prompt safe?
  • Token Limits - promptengineeringhelp. org
    Discover how token limits affect prompt design and learn techniques to optimize your prompts for better AI model performance As a software developer, understanding token limits is crucial for crafting effective prompts that get the most out of your AI models
  • Difference between Super prompts, Sequential prompts, and . . .
    It consists of dividing a complex task into several smaller prompts and executing them one after the other Each prompt depends on the result of the previous one How it works: Instead of giving a single long instruction, you break the task down into steps and execute each step separately
  • How to Split Big Prompts into Smaller Chunks for AI Processing
    Smaller chunking of large prompts would speed up much under any circumstances, improve efficiency, response accuracy, and coherence of AI applications; whether the split is implemented manually or through an automation tool such as GPT Prompt Splitter





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