Close Menu
    Trending
    • Why PDF Extraction Still Feels LikeHack
    • GenAI Will Fuel People’s Jobs, Not Replace Them. Here’s Why
    • Millions of websites to get ‘game-changing’ AI bot blocker
    • I Worked Through Labor, My Wedding and Burnout — For What?
    • Cloudflare will now block AI bots from crawling its clients’ websites by default
    • 🚗 Predicting Car Purchase Amounts with Neural Networks in Keras (with Code & Dataset) | by Smruti Ranjan Nayak | Jul, 2025
    • Futurwise: Unlock 25% Off Futurwise Today
    • 3D Printer Breaks Kickstarter Record, Raises Over $46M
    AIBS News
    • Home
    • Artificial Intelligence
    • Machine Learning
    • AI Technology
    • Data Science
    • More
      • Technology
      • Business
    AIBS News
    Home»Machine Learning»ðŸš€ Mastering Prompt Design in Vertex AI: My Journey with Google Cloud’s Gen AI Exchange Program | by Mayurmb | Apr, 2025
    Machine Learning

    🚀 Mastering Prompt Design in Vertex AI: My Journey with Google Cloud’s Gen AI Exchange Program | by Mayurmb | Apr, 2025

    Team_AIBS NewsBy Team_AIBS NewsApril 23, 2025No Comments2 Mins Read
    Share Facebook Twitter Pinterest LinkedIn Tumblr Reddit Telegram Email
    Share
    Facebook Twitter LinkedIn Pinterest Email


    Within the quickly evolving world of Synthetic Intelligence, staying up to date with the newest instruments and strategies is essential. Lately, I launched into a transformative journey by enrolling within the Gen AI Exchange Program provided by Google Cloud in collaboration with Hack2Skill. This program goals to offer hands-on expertise with generative AI, and my first milestone was finishing the Prompt Design in Vertex AI course.

    Immediate engineering is the artwork of crafting inputs that information AI fashions to provide desired outputs. With the arrival of huge language fashions (LLMs) like Google’s Gemini, understanding how one can design efficient prompts has grow to be an important talent. This course delved deep into:

    • Zero-shot, one-shot, and few-shot prompting: Methods to instruct fashions with various quantities of examples.
    • Function prompting: Assigning particular roles to fashions to form their responses.
    • Multimodal prompting: Combining textual content, photographs, and different information varieties in prompts.
    • Adjusting parameters: Tweaking settings like temperature and top-k to regulate output variability.

    One of many highlights of the course was the sensible expertise with Vertex AI, Google’s unified AI platform. By means of interactive labs, I:

    • Experimented with completely different prompting strategies in Vertex AI Studio.
    • Utilized the Gemini API for duties like summarization and content material era.
    • Explored real-world functions by integrating multimodal inputs.

    These workouts not solely strengthened theoretical data but additionally offered insights into deploying AI options in real-world eventualities.

    Upon finishing the course and its assessments, I used to be awarded the Prompt Design in Vertex AI Skill Badge. This badge signifies proficiency in immediate engineering and the power to leverage Vertex AI for generative duties.

    This course has been a stepping stone in my AI journey. The abilities acquired will not be simply theoretical however have sensible implications in numerous domains, from content material creation to information evaluation. I’m excited to use these strategies in upcoming initiatives and proceed exploring the huge panorama of generative AI.

    For these taken with diving into the world of AI, I extremely advocate testing the Gen AI Exchange Program and exploring programs on Google Cloud Skills Boost.

    Be at liberty to attach with me on LinkedIn to debate AI, immediate engineering, or any thrilling initiatives!



    Source link

    Share. Facebook Twitter Pinterest LinkedIn Tumblr Email
    Previous ArticleLeidos and Moveworks Partner on Agentic AI for Government Agencies
    Next Article Why LLM hallucinations are key to your agentic AI readiness
    Team_AIBS News
    • Website

    Related Posts

    Machine Learning

    Why PDF Extraction Still Feels LikeHack

    July 1, 2025
    Machine Learning

    🚗 Predicting Car Purchase Amounts with Neural Networks in Keras (with Code & Dataset) | by Smruti Ranjan Nayak | Jul, 2025

    July 1, 2025
    Machine Learning

    Reinforcement Learning in the Age of Modern AI | by @pramodchandrayan | Jul, 2025

    July 1, 2025
    Add A Comment
    Leave A Reply Cancel Reply

    Top Posts

    Why PDF Extraction Still Feels LikeHack

    July 1, 2025

    I Tried Buying a Car Through Amazon: Here Are the Pros, Cons

    December 10, 2024

    Amazon and eBay to pay ‘fair share’ for e-waste recycling

    December 10, 2024

    Artificial Intelligence Concerns & Predictions For 2025

    December 10, 2024

    Barbara Corcoran: Entrepreneurs Must ‘Embrace Change’

    December 10, 2024
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    Most Popular

    Stay Charged up on the Job with an Apple Watch Keychain Charger for Under $15

    April 13, 2025

    Trump defies ethical concerns to host investors in his meme coin

    May 22, 2025

    Do home crowds make a difference in esports?

    March 29, 2025
    Our Picks

    Why PDF Extraction Still Feels LikeHack

    July 1, 2025

    GenAI Will Fuel People’s Jobs, Not Replace Them. Here’s Why

    July 1, 2025

    Millions of websites to get ‘game-changing’ AI bot blocker

    July 1, 2025
    Categories
    • AI Technology
    • Artificial Intelligence
    • Business
    • Data Science
    • Machine Learning
    • Technology
    • Privacy Policy
    • Disclaimer
    • Terms and Conditions
    • About us
    • Contact us
    Copyright © 2024 Aibsnews.comAll Rights Reserved.

    Type above and press Enter to search. Press Esc to cancel.