#PromptEngineering has been getting a ton of attention lately. Most #LLM users are unwittingly using prompting tactics in their every day use cases. By following our method, you can use LLMs to create a detailed trip to Thailand or write an SRS.
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"Unlocked Level 4: Mastering the Art of Prompt Engineering!" Level up! Just conquered the Pathway Level 4 challenge on prompt engineering. This journey offered valuable insights into crafting powerful prompts to unlock the true potential of large language models (LLMs). Here are some key takeaways: >Conciseness: Short and sweet prompts are more effective. Avoid information overload and focus on the core objective. >Specificity is Key: Be detailed and provide clear instructions for the LLM to follow. >One Question at a Time: Don't overwhelm the LLM with a barrage of questions. Dive deep into one specific query for the best results. >Prompting Powerhouse: Three prompting techniques mastered: zero-shot, one-shot, and few-shot. Now I can tailor my prompts to specific needs! Token Limits: Understanding token limits helps craft efficient and impactful prompts. Hence every word counts! These are some of the understandings of this chapter. Got some new pieces of information and special thanks to Pathway and GTech MuLearn for taking such initiative in providing useful content for learning. Check out here: https://lnkd.in/ghDHFMTe #Pathway #AI #promptengineering #learning #gtechmulearn
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Understanding how to Fine Tuning LLM by means of this Course by Activeloop has been great and so check this out course if you find it beneficial and interesting.
Free Course on Training & Fine-Tuning LLMs for Production
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🌟 Exciting Announcement! 🌟 📅 Save the Date: February 18th, 2024 🔧 Join me for a LIVE session on Prompt Engineering! Are you fascinated by the power of language models like GPT-3.5? Curious about how they're engineered to understand and generate human-like text? Then mark your calendars because you won't want to miss this! In this live session, we'll delve into the world of Prompt Engineering, exploring the techniques and strategies behind crafting effective prompts for language models. Whether you're a seasoned AI enthusiast or just starting your journey in the field, there's something for everyone in this session. Here's what you can expect: Insightful discussions on the principles of prompt engineering Practical tips for crafting prompts that yield high-quality responses Live demonstrations and examples to illustrate key concepts Q&A session where you can ask your burning questions 🕒 Date & Time: 🗓️ February 18th, 2024 🕒 6:30 P.M. onwards 📍 Location: Online (Youtube) Don't miss out on this opportunity to deepen your understanding of prompt engineering and enhance your skills in working with language models. Click the link to save your spot now! https://lnkd.in/gjtdc94y Looking forward to seeing you there! #PromptEngineering #LanguageModels #AI #LiveSession #TechTalk #AIEngineering #LearningOpportunity
Prompt Engineering 5 Days Bootcamp - LetsUpgrade 2024
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🚀 Dive into our latest blog post, and learn how #LLMs are meticulously developed from conception to real-world deployment. 🧠💡
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🚀 Look How Easy It Is! 🚀 🎥 In this quick video, discover just how effortless it is to bring the power of AI to your website. Say hello to seamless integration, where in just ONE simple step, our innovative chatbot becomes an integral part of your digital presence. 🔧 Embedding our chatbot is as easy as copy-pasting a code snippet - and voilà, your website is instantly equipped with a 24/7 AI assistant ready to engage with your customers! 🌟 Whether you're a small business owner or run a large enterprise, our chatbot adapts to your needs, providing personalized interactions and streamlining customer queries. Watch now and see for yourself how Mastermind AI is transforming digital customer service - one website at a time. #AI #CustomerService #DigitalTransformation #MastermindAI #Innovation #TechSolutions https://lnkd.in/eQb5tmwQ
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Good morning! Interested in prompt engineering but not really sure what it means or how to get started? Or maybe you're skeptical of the hype around it and want to get to the reality behind it. If so, check out my latest post on Substack, and subscribe for weekly posts! The Real Value of Prompt Engineering: How to Leverage LLMs https://lnkd.in/gg2z4h-r
The Real Value of Prompt Engineering: How to Leverage LLMs
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Full Stack applications in Minutes | Boosting Productivity & Balanced AI augmentation with Code-Wizard - Pro-Code SaaS
Are you still writing every line of code? It's 2024. Are you looking to enhance your organization's capability with and beyond AI? Watch this video to explore new possibilities: https://lnkd.in/gJibCAfm
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I am thrilled to share the game-changing insights I've gained in the realm of Prompt Engineering in Level 4 of the Gen AI Bootcamp presented by Pathway and GTech MuLearn 👨💻 Prompt Engineering is all about designing input prompts to get the results you want from language models. It refers to the process of carefully designing and crafting input prompts or instructions to achieve desired behavior or results from language models. 💫 Prompt engineering involves crafting instructions for the model to follow. Here are some key techniques: 🔺 Zero-shot Prompting: Ask the model to do something without giving any examples. For example, ask if a goldfish is a pet, and the model will output "Pet." 🔺 One-Shot Prompting: Give the model one example to help it understand your request. For instance, say that a dog is a pet, and then ask about a goldfish. The output will still be "Pet." 🔺 Few-shot Learning: Provide the model with several examples to ensure it grasps your question. For example, mention that a dog is a pet and a lion is not, then ask about a goldfish. The model will identify it as a pet. If vague prompts are given, vague answer is all you get. To get best results : 🔻 Be Concise: Keep your prompts clear and to the point. 🔻 Be Specific: Provide detailed instructions to avoid ambiguity. 🔻 Ask One Task at a Time: Focus on one question or task per prompt. 🔻 Detailing: Specify context, desired outcome, format, and length if needed. 🔻 Example-Driven: Use examples to guide the model's output. Understanding the difference between Token Limit and Estimated Word Count is crucial: 🔹 Token Limit: This is the maximum number of text chunks (like letters, words, or punctuation) the model can handle at once, including both input and output tokens. 🔹 Estimated Word Count: It's an estimate of how many words can fit within the token limit. This helps users gauge the amount of text the model can process and is especially useful for those who think in terms of words. To learn more, visit : https://lnkd.in/gbVigMbN #promptengineering #gpt #gtech #pathway
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Kite plugs into popular code editors and uses AI to provide code completions. It's like an intelligent autocomplete that understands what you're trying to do and offers suggestions to help you do it faster. It can reduce errors and typos by suggesting the correct syntax and function names, saving time that would otherwise be spent debugging. . . . . . . #intelligent #autocomplete #contextawaresuggestions #reduceerrorsandtypos #savedebuggingtime #fastercoding #keepcoders #moreproductivecoding #confidentcoding #kite #codeeditor #kitecoding
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What’s needed is a model-agnostic way of working with LLMs that allows us to experiment with them inside our development tools so we can use them without context switching. #LLM #promptengineering #GenerativeAI #development
Build and manage LLM prompts with Prompty
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