Prompt Engineer — Prompt Analytics & Optimization
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What you'll learn:
Understanding the Landscape - **Description:** Begin with the fundamentals. Learn what Artificial Intelligence (AI) is, and specifically, what Large Language Models (LLMs) are. Understand the basic concepts behind LLMs, including how they are trained and what they are capable of. Explore different types of LLMs (e.g., GPT-3, Bard, Llama 2) and their various applications. Discuss the ethical considerations related to AI and LLMs. - **Resources/Activities:** - **Expected Outcomes:** Understand the basics of AI and LLMs, be familiar with different LLMs, and grasp their potential and limitations. Have basic experience interacting with an LLM.
Personal Notes:
What you'll learn:
Core Concepts and Principles - **Description:** Dive into the specifics of prompt engineering. Learn what prompts are, and why effective prompting is crucial for getting good results from LLMs. Cover core concepts such as prompt structure, the importance of clarity, specificity, and context. Explore the role of prompts in various LLM tasks (text generation, translation, question answering, code generation, etc.). - **Resources/Activities:** - **Expected Outcomes:** Understand the core principles of prompt engineering and its role in interacting with LLMs. Be able to create and evaluate basic prompts.
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What you'll learn:
Crafting Effective Prompts - **Description:** Focus on practical prompt design techniques. Learn about different prompt elements: instructions, context, examples (few-shot prompting), output format, and constraints. Explore how to use these elements to influence LLM behavior and guide the response. Understand the impact of prompt length and word choice. - **Resources/Activities:** - **Expected Outcomes:** Master the essential elements of prompt design. Be able to construct prompts with instructions, context, examples, and constraints.
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What you'll learn:
Techniques for Enhanced Results - **Description:** Introduce advanced prompting strategies. Cover techniques like few-shot prompting (providing examples), zero-shot prompting (no examples), chain-of-thought prompting, and role-playing prompts. Discuss the advantages and disadvantages of each strategy, and when to use them. - **Resources/Activities:** - **Expected Outcomes:** Learn and apply advanced prompting techniques to enhance the quality and accuracy of LLM responses. Be able to choose the appropriate prompting strategy for various tasks.
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What you'll learn:
Measuring Prompt Effectiveness - **Description:** Introduce the concept of prompt analytics. Learn how to measure the success of a prompt. Cover key metrics for evaluating prompt performance such as accuracy, coherence, fluency, relevance, and bias. Discuss how to objectively assess and compare different prompts. Explore tools or techniques to help with this assessment. - **Resources/Activities:** - **Expected Outcomes:** Understand how to measure prompt effectiveness and evaluate the outputs. Be able to identify areas for prompt optimization and use metrics to evaluate prompts.
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What you'll learn:
Refining Prompts for Better Performance - **Description:** Focus on optimizing prompts based on the evaluation process. Learn how to iterate on prompts based on analysis of the outputs. Discuss techniques for refining prompts to improve accuracy, relevance, and the overall quality of the LLM responses. This includes tweaking instructions, adding context, using examples, and adjusting constraints. - **Resources/Activities:** - **Expected Outcomes:** Be able to analyze prompt performance and apply iterative optimization techniques to improve prompt effectiveness and the quality of LLM outputs.
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What you'll learn:
Putting it All Together & Next Steps - **Description:** Consolidate the skills learned during the week. Apply prompt engineering to a real-world project or scenario. Discuss current trends and future developments in prompt engineering and LLMs. Explore resources for continued learning and staying up-to-date in the field. Consider career paths and opportunities. - **Resources/Activities:** - **Expected Outcomes:** Successfully apply the skills learned to a practical project. Understand the current state and future directions of prompt engineering. Be prepared to continue learning and develop a portfolio.
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