![]() ![]() Prompt Engineering - Additional Readings.Prompt Engineering - Adversarial Prompting.Prompt Engineering - Graduate Job Classification Case Study.Prompt Engineering - Program-Aided Language Models.Prompt Engineering - Multimodal CoT Prompting.Prompt Engineering - Directional Stimulus Prompting.Prompt Engineering - Automatic Prompt Engineer.Prompt Engineering - Automatic Reasoning and Tool-use (ART).Prompt Engineering - Tree of Thoughts (ToT).Prompt Engineering - Generate Knowledge Prompting.Prompt Engineering - Chain-of-Thought Prompting.Prompt Engineering - Few-Shot Prompting.Prompt Engineering - Zero-Shot Prompting.Prompt Engineering - Examples of Prompts.Prompt Engineering - General Tips for Designing Prompts.Prompt Engineering - Basics of Prompting.You can also find the most up-to-date guides on our new website. □ The Prompt Engineering Lecture went live here.□ We have launched a new web version of the guide here.□□ We crossed 800K learners in June 2023!.□ We now support 12 languages! Welcoming more translations.□ We now offer several services like professional training, consulting, and talks.□ New course on Prompt Engineering for LLMs announced! Enroll here!.Our past learners range from software engineers to AI researchers and practitioners in organizations like LinkedIn, Amazon, JPMorgan Chase & Co., Intuit, Fidelity Investments, Coinbase, Guru, and many others. This hands-on course will cover prompt engineering techniques/tools, use cases, exercises, and projects for effectively working and building with large language models (LLMs). Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, learning guides, lectures, references, and tools related to prompt engineering for LLMs.ĭue to high demand, we've partnered with Maven to deliver a new cohort-based course on Prompt Engineering for LLMs.Įlvis Saravia, who has worked at companies like Meta AI and Elastic, and has years of experience in AI and LLMs, will be the instructor for this course. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. ![]() Researchers use prompt engineering to improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. ![]()
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