ITK Engineering’s Post

Learn more about 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗶𝗻 𝘀𝗮𝗳𝗲𝘁𝘆-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗮𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀! 🧠🚘️💻️ In this whitepaper, our ITK experts Dr.-Ing. Ulrich Sutter, Andreas Bossert, Stefan Held, Frank Lenzen and Philipp Leopold examine the impact of Artificial Intelligence on safety-critical applications in automated driving. ⚠️ It offers insights into current developments in standards and regulations, addresses various automotive aspects, and provides recommendations for managing AI in safety-critical scenarios. 𝗚𝗼𝘁 𝗰𝘂𝗿𝗶𝗼𝘂𝘀? 𝗗𝗼𝘄𝗻𝗹𝗼𝗮𝗱 𝘁𝗵𝗲 𝘄𝗵𝗶𝘁𝗲𝗽𝗮𝗽𝗲𝗿 𝗻𝗼𝘄! 💡✔️ #itkengineering #itktech #itkmobility #itkautomotive #functionalsafety #AI #systemsengineering #softwareengineering

We show you what you need to know about 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗶𝗻 𝘀𝗮𝗳𝗲𝘁𝘆-𝗰𝗿𝗶𝘁𝗶𝗰𝗮𝗹 𝗮𝘂𝘁𝗼𝗺𝗼𝘁𝗶𝘃𝗲 𝘂𝘀𝗲 𝗰𝗮𝘀𝗲𝘀. 🧠🚗 Download our whitepaper and get exciting insights into current developments in standards and regulations, various automotive aspects, and recommendations for managing AI in safety-critical scenarios in automated driving. ✔ Feel free to contact me for more information. 💬 #itkengineering #ai #itktech #itkautomotive

Considering implementing artificial intelligence in safety-critical applications? Unsure about the process? Look no further! With ITK, you have a competent partner to guide you through. Download our latest whitepaper on "Artificial intelligence in safety-critical automotive use cases" to explore more: https://lnkd.in/eXe6gugs. #AI #SafetyCritical #AutomotiveSafety

Prompt engineering is the most powerful new job in 2024. PE is about understanding how LLMs interact and how to control results, to generate consistently superior outcomes. Our value is not yet understood but what we're doing today is the future of all business and marketing processes. #ai #promptdesign #promptengineering #llm #aidesign #futureofai

If you wanted to understand what is prompt engineering, how it works, and its concepts - my latest article dedicated to this topic with some examples. #promptengineering #promptengineer

Curious about prompt engineering? This video introduces SAM, the Prompt Creator, helping you craft complex prompts effortlessly. Perfect for AI enthusiasts and professionals. Watch now! #AI #PromptEngineering #Productivity

#promptengineering involves several key aspects: Clarity and Specificity: Crafting clear, specific, and well-defined prompts is crucial to ensure that the AI system understands the user's intent and context accurately. Bias Mitigation: Careful prompt engineering can help reduce biases in AI-generated responses by avoiding biased language and ensuring fairness and inclusivity in the generated content. Customization: Users can influence AI responses by providing tailored prompts. Prompt engineering allows users to fine-tune responses to meet their specific needs or preferences. Output Post-Processing: After receiving AI-generated content, post-processing techniques can be applied to further refine and enhance the output, making it more coherent and relevant. Feedback Loop: Continuously iterating on prompts and adjusting them based on user feedback and the desired output helps improve the overall quality of AI responses over time.

GenAI Prompting Principles - This is my take on prompting in my AI journey It would be great if an AI could interpret your request, understand the context of your situation, and consider the timing of your question to provide the most relevant response. However, our current technology isn't quite there yet. We need to provide this context to large language models (LLMs) to get the best results. Understanding the "why" and "how" behind what you're asking, similar to understanding the principles in cooking or mathematics, can help refine your requests and improve the outcomes. 1) Give Clear Directions: - Describe your request in detail. - Reference a relevant persona, comparable example, or other well-known elements to create a solid foundation. 2) Specify Response Format: - Define the desired format (e.g., email, resume, table). - Establish any specific rules (e.g., use bullet points, keep it under 100 words). 3) Provide Examples and Data: - Include data in your prompt to provide context. - Share previous examples if you want to maintain a similar style or structure. - Warning: Be mindful of sensitive information you share with the AI. 4) Evaluate Quality: - Review the AI's output. - Provide feedback (e.g., "Can you make this shorter?" or "Can you expand on X, Y, Z?"). 5) Break Down the Problem: - If the initial request isn't as you expect, try breaking it down into smaller steps. - Ask for specific sections of your request to refine the output. For guides specific to certain RAGs, below are some great ones: - Microsoft CoPilot - https://lnkd.in/gW7MDj5C - Google Workspace - https://lnkd.in/gmm2eCdf - ChatGPT and Google Bard - https://lnkd.in/g5XipHbj If you are curious around some of the more complex Prompt Engineering concepts (Zero-Shot, Multimodal, Chaining etc...) check out a site created by DAIR.AI, includes videos and other interesting concepts. https://lnkd.in/gxZkYtEt

Today I completed a new skill course of Prompt Engineering

Improved prompt engineering is key to getting the best results.