Ynske Reynaert on LinkedIn: Practical Applications of Prompt Engineering in Kevin (2024)

Choosing the Right Technique: Prompt Engineering vs Fine-tuning

Choosing the Right Technique: Prompt Engineering vs Fine-tuning

Een boeiende analyse van een vraag die elke architect, jong of ervaren, zichzelf weleens heeft gesteld.“Taken together, architects make lessthan lawyers because, well, people generally think that they should. Where would they get such an idea? Unfortunately, I think it starts at home and finds its roots in something familiar: architects often value their work product more than their compensation for it. Once they do, the following nonsense starts to seem logical, even necessary:• Working for free.• Asking other architects to work for free.• Doing a schematic design for a client, for free, that they can use in their marketing materials while they raise money.• Bidding a project below cost in order to"get the job."• Balancing the books by underpaying junior staff.• Accepting a bunch of risk on behalf of the client, without being compensated for it, in order to get the project moving.”

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Let's be honest, we've all been there: You hear 'almost done' from a subcontractor, but reality tells a different story. Suddenly, deadlines are slipping and nobody is there to answer for it. 🙈🙉Sound familiar?Performance-Driven Construction Management is turning uncertainty into facts, cultivating genuine accountability on your site. Check out our latest blog entry shining a light on these notorious scenarios and tell us in the comments: Who’s best at dodging responsibility on site? https://lnkd.in/dvRQRKct#Construction #AI #ConstructionPerformance

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While it's great to trust your gut in matters of the heart ❤️, it can be detrimental to your construction projects 🏗️.Whether it’s a guess or a gamble, blind guesswork can lead you down a path of mistakes, delays, and friction between your team as you try to get your project back on track.Instead, you’ll need objective data to back up your decisions – something like Performance-Driven Construction Management.We recently explored more of the detailed aspects of PDCM in our latest blog post. Take a look:https://lnkd.in/eS6NPaqb #construction #constructionmanagement #ai

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Clarify Contract ManagementOverwhelmed by contractual complexities? Kontrad simplifies it all with advanced Natural Language Processing and AI-driven contract management tools. This is a game-changing tool for all those working in architcture, engineering and construction — it's time to dive into a world of clear and efficient contract handling.Learn how it's done in our insights section:https://lnkd.in/gxeJ4ACb#ContractManagement #NLP #Engineering #aec #aecindustry

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With our expertise in the industry and our team of engineers, we can certainly help your company turn potential into value. ✨ #Expertise #Engineering #ValueCreation"

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Struggling with estimating the amount of effort required for a prompt? Wasting hours on prompts that seem to go nowhere? Try my simple prompt planning framework, drawing from 18 months of prompt engineering. https://lnkd.in/gwKFfFnw

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We’re in the News! 📰Our new Delay Forecast feature is making headlines 🎉With Delay Forecast, construction teams can predict delay risks, tackle pace issues, and optimize project timelines with incredible accuracy. Early adopters have already seen up to a 50% reduction in delays! Thanks to BIMplus for covering our story and highlighting the significance of our Delay Forecast tool.🔗 Click here to read the full article >> https://lnkd.in/eanUP_BC#Construction#ConstructionManagement#AI

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Unlocking AI's Potential: The Rise of Prompt Engineering CareersWhat is Prompt Engineering? Imagine you're a coach for an AI, giving it instructions to perform tasks or be creative. You write prompts to guide the AI in tasks like writing different kinds of creative text formats, generating code, or completing specific jobs.Where is it used? Machine Translation: Translate content for global audiences (e.g., French news to English).Code Generation: Write code snippets based on programmer intent (e.g., sorting function).Chatbots: Create chatbots for natural customer conversations (e.g., answering product questions).Creative Writing: Generate poems, code, scripts, musical pieces (e.g., nature poems).Salary (USD, average range):$80,000 - $150,000 (typically 3-5 years of experience).How can one become a Prompt Engineer? Here's a Roadmap by roadmap.sh which explains how one can enter and explore this field. https://lnkd.in/dYghph38#artificialintelligence #machinelearning #nlp #naturallanguageprocessing #deeplearning #techcareers #futureofwork #prompter #largelanguagemodels #llms #gpt #llamda #gemini

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