https://www.youtube.com/watch?v=LpUIYC7uw94
In this week's stream, Robert demonstrates how to prompt the AI task and enable long-term or conversational memory in your chatbot.This was originally stream

https://learnprompting.org/
Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community. Check out our new paper, The Prompt Report!

https://learnprompting.org/docs/basics/prompting
What is Prompting? In the previous module, we discussed AI and how humans can instruct AIs to perform tasks. Using a prompt to instruct an AI to do a task is called prompting 1.We will explore prompting with ChatGPT 2, a very popular Large Language Model , that can understand and write text.It was developed by OpenAI, and is currently the easiest Gen AI to work with.

https://learnprompting.org/docs/intro
Welcome to Learn Prompting's Introductory Course on Generative AI and Prompt Engineering! Generative AI is the world's hottest buzzword, and we have created the most comprehensive (and free) guide on how to use it.This course is tailored to non-technical readers, who may not have even heard of AI, making it the perfect starting point if you are new to Generative AI and Prompt Engineering.

https://developers.google.com/machine-learning/resources/prompt-eng
Prompting with examples (One-, few-, and multi-shot) One-shot prompting shows the model one clear, descriptive example of what you'd like it to imitate. Idea generation using one example: Prompt: Come up with a list of ideas for blog posts for tourists visiting New York City for the first time. 1. Fuggedaboutit!

https://www.forbes.com/sites/lanceeliot/2024/05/09/the-best-prompt-engineering-techniques-for-getting-the-most-out-of-generative-ai/
Least-to-Most prompting (LTM) is a technique that involves guiding generative AI to work on the least hard part first and then proceed to the harder part (an alternative approach is Most-to-Least

https://community.openai.com/t/the-art-of-ai-prompt-crafting-a-comprehensive-guide-for-enthusiasts/495144
Effective prompting unlocks the full potential of AI, enabling it to generate insightful, creative, and highly specific outputs. This skill is crucial in leveraging AI technology for a wide range of applications, from creative writing and research to problem-solving and decision-making.

https://www.codecademy.com/article/ai-prompting-best-practices
At its core, prompting is the act of providing a generative AI tool, like ChatGPT, with a query to generate a desired output. These prompts can range from simple questions to complex instructions, depending on what you aim to achieve with the AI's response. The quality and structure of the prompt significantly influence the relevance

https://platform.openai.com/docs/guides/prompt-engineering/prompt-engineering
In that case, better performance can often be obtained by prompting the model with followup queries to find any excerpts it missed on previous passes. SYSTEM. You will be provided with a document delimited by triple quotes. Your task is to select excerpts which pertain to the following question: "What significant paradigm shifts have occurred

https://www.danaleeds.com/the-art-of-prompting/
In vanilla prompting, you ask a clear question, and the AI uses its knowledge to answer. Few-Shot Prompting: Learning from Examples. In few-shot prompting, you teach the AI by giving it examples before asking it to perform a task, helping it understand what kind of answer you need. Example: You want the AI to translate phrases into Spanish.

https://medium.com/@aigeek_/crafting-the-perfect-prompt-13e059237344
Few-Shot Prompting. Few-shot prompting entails supplying a language model with a limited number of task examples and a descriptive prompt. The model then produces a response based on both the

https://medium.com/@maximilian.vogel/the-10-best-free-prompt-engineering-courses-resources-for-chatgpt-midjourney-co-dd1865d4ad13
1. OpenAI: Prompt Engineering Best Practices. Straight from the ivory tower of the ChatGPT developers, this beginner prompting tutorial helps to lay a solid foundation for prompt design. Step-by

https://towardsai.net/p/machine-learning/learn-prompting-101-prompt-engineering-course
This chapter covers the end-to-end prompt engineering process with interactive demos, practical examples using tools like ChatGPT, and solving discussion questions with generative AI. This chapter allows learners to experiment with these tools, test different prompting approaches, compare generated results, and identify patterns. 4.

https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering
Chain of thought prompting. This is a variation on the break the task down technique. Instead of splitting a task into smaller steps, in this approach, the model response is instructed to proceed step-by-step and present all the steps involved. Doing so reduces the possibility of inaccuracy of outcomes and makes assessing the model response easier.

https://medium.com/aimonks/a-journey-into-prompt-engineering-techniques-3c5d8abcf0d2
Another prompting technique is to assign a role to the AI. For example, your prompt could start off with "You are a doctor" or "You are a lawyer" and then ask the AI to answer some medical

https://www.ibm.com/topics/prompt-engineering
Few-shot prompting or in-context learning gives the model a few sample outputs (shots) to help it learn what the requestor wants it to do. The learning model can better understand the desired output if it has context to draw on. Chain-of-thought prompting (CoT) is an advanced technique that provides step-by-step reasoning for the model to

https://en.wikipedia.org/wiki/Prompt_engineering
Prompt engineering is the process of structuring an instruction that can be interpreted and understood by a generative AI model. A prompt is natural language text describing the task that an AI should perform.. A prompt for a text-to-text language model can be a query such as "what is Fermat's little theorem?", a command such as "write a poem about leaves falling", or a longer statement

https://www.promptingguide.ai/techniques/prompt_chaining
This is what's referred to as prompt chaining, where a task is split into subtasks with the idea to create a chain of prompt operations. Prompt chaining is useful to accomplish complex tasks which an LLM might struggle to address if prompted with a very detailed prompt. In prompt chaining, chain prompts perform transformations or additional

https://www.promptingguide.ai/
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. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to

https://learnprompting.org/docs/basics/intro
Discover AI, or artificial intelligence, in this introductory Learn Prompting article. Explore why and how to interact with generative AI in your life. Learn Prompting is the largest and most comprehensive course in prompt engineering available on the internet, with over 60 content modules, translated into 9 languages, and a thriving community.

https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering/overview
Prompt engineering is far faster than other methods of model behavior control, such as finetuning, and can often yield leaps in performance in far less time. Here are some reasons to consider prompt engineering over finetuning: Resource efficiency: Fine-tuning requires high-end GPUs and large memory, while prompt engineering only needs text

https://learnprompting.org/docs/basics/world
Here are some key points to understand about how these AIs work: At their core, these AIs are mathematical functions. Instead of a simple function like. f ( x) = x 2. f (x) = x^2 f (x) = x2, think of them as functions with thousands of variables leading to thousands of possible outputs. These AIs process sentences by breaking them into units

https://learnprompting.org/docs/basics/instructions
Prompt. Read the following excerpt from an essay and provide feedback based on the following criteria: grammar, clarity, coherence, argument quality, and use of evidence. Provide a score from 1-10 for each attribute, along with reasoning for your score. "Despite the popular belief, there's no solid evidence supporting the idea that video games