Try our Chrome extension
Easily add the current web-page from your browser directly into your changedetection.io tool, more great features coming soon!
Chrome Webstore
Changedetection.io needs your support!
You can help us by supporting changedetection.io on these platforms;
- Rate us at AlternativeTo.net
- Star us on GitHub
- Follow us at Twitter/X
- G2 Software reviews
- Check us out on LinkedIn
- And tell your friends and colleagues :)
The more popular changedetection.io is, the more time we can dedicate to adding amazing features!
Many thanks :)
changedetection.io team
Not yet seconds ago
False
Not yet seconds ago
2 days ago
| Prompt Engineering Guide 🎓 Prompt Engineering Course 🎓 Prompt Engineering Course Services Services About About CTRL K GitHub (opens in a new tab) Discord (opens in a new tab) CTRL K * Prompt Engineering * Introduction + LLM Settings + Basics of Prompting + Prompt Elements + General Tips for Designing Prompts + Examples of Prompts * Prompting Techniques + Zero-shot Prompting + Few-shot Prompting + Chain-of-Thought Prompting + Meta Prompting + Self-Consistency + Generate Knowledge Prompting + Prompt Chaining + Tree of Thoughts + Retrieval Augmented Generation + Automatic Reasoning and Tool-use + Automatic Prompt Engineer + Active-Prompt + Directional Stimulus Prompting + Program-Aided Language Models + ReAct + Reflexion + Multimodal CoT + Graph Prompting * Agents + Introduction to Agents + Agent Components * Guides + Optimizing Prompts * Applications + Fine-tuning GPT-4o + Function Calling + Context Caching with LLMs + Generating Data + Generating Synthetic Dataset for RAG + Tackling Generated Datasets Diversity + Generating Code + Graduate Job Classification Case Study + Prompt Function * Prompt Hub + Classification o Sentiment Classification o Few-Shot Sentiment Classification + Coding o Generate Code Snippet o Generate MySQL Query o Draw TiKZ Diagram + Creativity o Rhymes o Infinite Primes o Interdisciplinary o Inventing New Words + Evaluation o Evaluate Plato's Dialogue + Information Extraction o Extract Model Names + Image Generation o Draw a Person Using Alphabet + Mathematics o Evaluating Composite Functions o Adding Odd Numbers + Question Answering o Closed Domain Question Answering o Open Domain Question Answering o Science Question Answering + Reasoning o Indirect Reasoning o Physical Reasoning + Text Summarization o Explain A Concept + Truthfulness o Hallucination Identification + Adversarial Prompting o Prompt Injection o Prompt Leaking o Jailbreaking * Models + ChatGPT + Claude 3 + Code Llama + Flan + Gemini + Gemini Advanced + Gemini 1.5 Pro + Gemma + GPT-4 + Grok-1 + LLaMA + Llama 3 + Mistral 7B + Mistral Large + Mixtral + Mixtral 8x22B + OLMo + Phi-2 + Sora + LLM Collection * Risks & Misuses + Adversarial Prompting + Factuality + Biases * LLM Research Findings + LLM Agents + RAG for LLMs + LLM Reasoning + RAG Faithfulness + LLM In-Context Recall + RAG Reduces Hallucination + Synthetic Data + ThoughtSculpt + Infini-Attention + LM-Guided CoT + Trustworthiness in LLMs + LLM Tokenization + What is Groq? * Papers * Tools * Notebooks * Datasets * Additional Readings English System On This Page * Want to learn more? Question? Give us feedback → (opens in a new tab) Edit this page Prompt Engineering Prompt Engineering Guide 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 improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. Prompt engineering is not just about designing and developing prompts. It encompasses a wide range of skills and techniques that are useful for interacting and developing with LLMs. It's an important skill to interface, build with, and understand capabilities of LLMs. You can use prompt engineering to improve safety of LLMs and build new capabilities like augmenting LLMs with domain knowledge and external tools. Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, advanced prompting techniques, learning guides, model-specific prompting guides, lectures, references, new LLM capabilities, and tools related to prompt engineering. Want to learn more? 🎓 Learn more about advanced prompt engineering techniques and best practices in our new AI courses. Join now! (opens in a new tab) Use code PROMPTING20 to get an extra 20% off. Last updated on April 5, 2025 Introduction English System Copyright © 2024 DAIR.AI | 🚀 Master Prompt Engineering and building AI Agents in our NEW courses! Use PROMPTING20 for 20% off ➜ Enroll now Prompt Engineering Guide 🎓 Courses About About CTRL K GitHub (opens in a new tab) Discord (opens in a new tab) CTRL K * Prompt Engineering * Introduction + LLM Settings + Basics of Prompting + Prompt Elements + General Tips for Designing Prompts + Examples of Prompts * Prompting Techniques + Zero-shot Prompting + Few-shot Prompting + Chain-of-Thought Prompting + Meta Prompting + Self-Consistency + Generate Knowledge Prompting + Prompt Chaining + Tree of Thoughts + Retrieval Augmented Generation + Automatic Reasoning and Tool-use + Automatic Prompt Engineer + Active-Prompt + Directional Stimulus Prompting + Program-Aided Language Models + ReAct + Reflexion + Multimodal CoT + Graph Prompting * Agents + Introduction to Agents + Agent Components * Guides + Optimizing Prompts * Applications + Fine-tuning GPT-4o + Function Calling + Context Caching with LLMs + Generating Data + Generating Synthetic Dataset for RAG + Tackling Generated Datasets Diversity + Generating Code + Graduate Job Classification Case Study + Prompt Function * Prompt Hub + Classification o Sentiment Classification o Few-Shot Sentiment Classification + Coding o Generate Code Snippet o Generate MySQL Query o Draw TiKZ Diagram + Creativity o Rhymes o Infinite Primes o Interdisciplinary o Inventing New Words + Evaluation o Evaluate Plato's Dialogue + Information Extraction o Extract Model Names + Image Generation o Draw a Person Using Alphabet + Mathematics o Evaluating Composite Functions o Adding Odd Numbers + Question Answering o Closed Domain Question Answering o Open Domain Question Answering o Science Question Answering + Reasoning o Indirect Reasoning o Physical Reasoning + Text Summarization o Explain A Concept + Truthfulness o Hallucination Identification + Adversarial Prompting o Prompt Injection o Prompt Leaking o Jailbreaking * Models + ChatGPT + Claude 3 + Code Llama + Flan + Gemini + Gemini Advanced + Gemini 1.5 Pro + Gemma + GPT-4 + Grok-1 + LLaMA + Llama 3 + Mistral 7B + Mistral Large + Mixtral + Mixtral 8x22B + OLMo + Phi-2 + Sora + LLM Collection * Risks & Misuses + Adversarial Prompting + Factuality + Biases * LLM Research Findings + LLM Agents + RAG for LLMs + LLM Reasoning + RAG Faithfulness + LLM In-Context Recall + RAG Reduces Hallucination + Synthetic Data + ThoughtSculpt + Infini-Attention + LM-Guided CoT + Trustworthiness in LLMs + LLM Tokenization + What is Groq? * Papers * Tools * Notebooks * Datasets * Additional Readings English System On This Page * Want to learn more? Question? Give us feedback → (opens in a new tab) Edit this page Prompt Engineering Prompt Engineering Guide 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 improve the capacity of LLMs on a wide range of common and complex tasks such as question answering and arithmetic reasoning. Developers use prompt engineering to design robust and effective prompting techniques that interface with LLMs and other tools. Prompt engineering is not just about designing and developing prompts. It encompasses a wide range of skills and techniques that are useful for interacting and developing with LLMs. It's an important skill to interface, build with, and understand capabilities of LLMs. You can use prompt engineering to improve safety of LLMs and build new capabilities like augmenting LLMs with domain knowledge and external tools. Motivated by the high interest in developing with LLMs, we have created this new prompt engineering guide that contains all the latest papers, advanced prompting techniques, learning guides, model-specific prompting guides, lectures, references, new LLM capabilities, and tools related to prompt engineering. Want to learn more? 🎓 Learn more about advanced prompt engineering techniques and best practices in our new AI courses. Join now! (opens in a new tab) Use code PROMPTING20 to get an extra 20% off. Last updated on April 24, 2025 Introduction English System Copyright © 2024 DAIR.AI |
For now, Differences are performed on text, not graphically, only the latest screenshot is available.
2 days ago