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Learn the fundamentals of prompt engineering for ChatGPT. Learn effective prompting, and how to use LLMs for summarizing, inferring, transforming, and expanding.
About this course. In ChatGPT Prompt Engineering for Developers, you will learn how to use a large language model (LLM) to quickly build new and powerful applications. Using the OpenAI API, you’ll be able to quickly build capabilities that learn to innovate and create value in ways that were cost-prohibitive, highly technical, or simply ...
AI prompt engineering helps mold the model’s output, ensuring the artificial intelligence responds meaningfully and coherently. Several prompting techniques ensure AI models generate helpful responses, including tokenization, model parameter tuning and top-k sampling.
8 lut 2024 · The prompt can range from simple questions to intricate tasks, encompassing instructions, questions, input data, and examples to guide the AI’s response. The essence of prompt engineering lies in crafting the optimal prompt to achieve a specific goal with a generative model.
8 sie 2023 · Structure the prompt: Start by defining its role, give context/input data, then provide the instruction. Use specific, varied examples to help the model narrow its focus and generate more...
Learn prompt engineering techniques to optimize generative AI tools like ChatGPT. Explore zero-shot, few-shot, Interview Pattern, Chain-of-Thought, and Tree-of-Thought approaches. Hands-on labs with IBM watsonx Prompt Lab, Spellbook, and Dust. Offered by IBM on Coursera.
Learn to harness the power of ChatGPT and large language models with Vanderbilt's course on Coursera. Gain skills in prompt engineering to enhance productivity, creativity, and problem-solving in various domains, from business to personal life. No prior experience needed.
