by Anup Upadhyay | Dec 13, 2024 | GenAI, Prompt Engineering, Technology
Prompt engineering involves crafting precise inputs, known as prompts, to guide generative AI models—such as large language models (LLMs)—in producing desired outputs. This process is essential for optimizing AI performance across tasks like content creation, question...
by Anup Upadhyay | Nov 5, 2024 | Agentic AI, Prompt Engineering
A prompt engineer designs and optimizes prompts for AI systems, especially in the context of generative AI models like GPT. This role involves understanding how AI models interpret inputs and then crafting queries or commands that guide the AI to produce desired...
by Anup Upadhyay | Nov 5, 2024 | Agentic AI, Prompt Engineering
Best practices for prompt engineering help ensure that AI models produce accurate, relevant, and high-quality outputs. These practices involve a combination of strategies for prompt design, testing, and refinement, with a focus on clarity, context, and optimization....
by Anup Upadhyay | Nov 5, 2024 | Agentic AI, Prompt Engineering
Prompt engineering is the process of designing and refining prompts—the inputs or instructions provided to AI models, especially large language models like GPT—to achieve specific, high-quality outputs. It’s an emerging field crucial in leveraging generative AI for...
by Anup Upadhyay | Nov 4, 2024 | Prompt Engineering
Large Language Models (LLMs) are a type of AI model designed to understand and generate human-like text. They are typically based on transformer architectures, such as the GPT (Generative Pre-trained Transformer) series, which processes language by learning patterns,...
by Anup Upadhyay | Nov 4, 2024 | Prompt Engineering
When using prompt engineering to extract information from a document with AI models, several challenges can arise due to the limitations of the models and the complexity of documents. Below are some of the key challenges: 1. Document Length and Context Window...
