Build Your Personalized Prompt Library for Generative AI
Streamline workflows and boost productivity with a personalized prompt library. Learn the steps to create, organize, and maximize prompts for tools like ChatGPT, Claude, and MidJourney.
Prompt Engineering
Latest posts
Optimizing Small-Scale RAG Systems: Techniques for Efficient Data Retrieval and Enhanced Performance
Learn key techniques to optimize small-scale RAG systems for efficient, accurate data retrieval and enhanced performance.
Complete Guide to Prompt Engineering with Temperature and Top-p
This is THE definitive guide on using Temperature and Top-p with modern LLMs.
Functional Inference Synthesis: The Future of Development & Prompt Engineering
Functional Inference Synthesis, Functional LLMs, and Generative AI Networks (GAINs) are revolutionising application development and deployment, offering unprecedented efficiency and adaptability.
Query/Prompt Reformulation is Magic
Query reformulation involves refining and clarifying user queries to enhance the accuracy and relevance of responses from AI systems like ChatGPT or Claude. This technique can improve user interactions, save time in technical domains, and optimize the performance.
The Reverse Prompt Engineering Bottleneck: Can You Find the Question When You Already Have the Answer?
This article reveals a superior alternative to reverse prompt engineering for AI training. Discover a structure-driven methodology for analyzing output examples, defining AI roles, and crafting powerful prompts that unlock high-quality content generation.
A Framework for Building Digital Doppelgängers with AI
Develop personalized and interactive digital doppelgangers with our comprehensive framework. Enhance customer service, executive communication, and consulting while ensuring security, privacy, and cultural sensitivity.
Comprehensive and Simplified Lifecycles for Effective AI Prompt Management
Discover a comprehensive framework for mastering prompt engineering, including detailed and simplified lifecycles for effective AI prompt management. Perfect for both large-scale applications and individual users.
Injecting Domain Expertise in LLMs - A Guide to Fine-tuning & Prompting
Learn how to inject domain-specific knowledge into LLMs for medicine, law, finance & more. Explore two powerful frameworks: fine-tuning + prompting and prompt engineering with examples.
Temporal Graph Prompt Engineering Framework -Creating Threads of Time in Language Models
Time's Secrets: The Temporal Knowledge Graph Prompt Engineering (TKGP) framework empowers language models to analyze time-dependent data in legal, medical, financial, and historical domains, uncovering hidden connections and generating deeper insights.
How Prompt Keywords (Magic Words) Optimize Language Model Performance
Discover how carefully chosen prompt keywords enhance the effectiveness of language models. Learn how to craft precise prompts to improve the reliability and usefulness of AI responses.
Prompt Templates vs Prompt Recipes in Prompt Engineering
Discover the power of prompt templates and recipes in AI prompt engineering. Learn how these tools enable scalable, efficient, and effective AI solutions across industries and domains.