Kumo’s Post

How to talk to SiriGPT, sounding smart, for an apt response.  Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier Amatriain! Check it out: https://lnkd.in/gWY4ZbcJ #generativeai #largelanguagemodels #promptengineering.

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier (Xavi) Amatriain ! Check it out: https://lnkd.in/g_4tGSy8 #generativeai #largelanguagemodels #promptengineering.

🔍 Dive into Hyperparameter Tuning with 4 In-Depth Lectures! 1️⃣ What are Hyperparameters? 🧩 The crucial elements that define your model’s behavior. 2️⃣ Grid Search 🔎 Systematic approach to find the best hyperparameter combination. 3️⃣ Randomized Search 🎲 Efficient and effective alternative to Grid Search. 4️⃣ Bayesian Optimization 📈 Advanced technique for model tuning using prior knowledge. 5️⃣ Heuristics & Distributions 📊 Strategies to improve hyperparameter selection. 📝 Lecture Content Highlights: Definitions of hyperparameters, Grid Search, Randomized Search, Bayesian Optimization, and Heuristics. Exploring GridSearchCV for systematic hyperparameter tuning. Understanding continuous, discrete, and categorical hyperparameters. Practical use cases of Grid Search and Randomized Search. Integrating Scikit-Learn pipelines for streamlined workflows. Analyzing Grid Search results with get_params().keys(), grid_search.best_estimator_, and grid_search.cv_results_. Exploring hyperparameter sampling distributions using scipy.stats. ✨ Key Takeaways: Master the essentials of hyperparameter tuning. Discover the synergy between preprocessing and hyperparameter tuning. Learn the power of pipelines to optimize model performance. Get hands-on experience with practical examples and real-world applications. Equip yourself with advanced techniques like Bayesian Optimization and adaptive sampling strategies. Join us on Prof Mostafa Elhosseini’s YouTube channel for these transformative lectures and elevate your machine learning models! 🌟 https://lnkd.in/gj-J-KVp https://lnkd.in/gXRW_U4W https://lnkd.in/gCMy8m6F https://lnkd.in/gRzJAVWT #HyperparameterTuning #GridSearch #RandomizedSearch #BayesianOptimization #MachineLearning #DeepLearning #DataScience #ScikitLearn #ModelOptimization #AI #ProfElhosseiniSmartSysEng

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier (Xavi) Amatriain! Check it out: https://lnkd.in/gCSSeSZK #generativeai #largelanguagemodels #promptengineering.

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier Amatriain! Check it out: https://lnkd.in/gBhf5mDr #generativeai #largelanguagemodels #promptengineering.

Just finished Prompt Engineering: How to Talk to the AIs by Xavier (Xavi) Amatriain. Check it out: https://lnkd.in/gwtkS-dP #generativeai #largelanguagemodels #promptengineering

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier (Xavi) Amatriain! Check it out: https://lnkd.in/gpFykjuU #generativeai #largelanguagemodels #promptengineering.

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier (Xavi) Amatriain! Check it out: https://lnkd.in/eqeYQGJP #generativeai #largelanguagemodels #promptengineering.

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier (Xavi) Amatriain! Check it out: https://lnkd.in/dVpSkxA9 #generativeai #largelanguagemodels #promptengineering.

Just finished the course “Prompt Engineering: How to Talk to the AIs” by Xavier Amatriain! Check it out: https://lnkd.in/gZ9ZbQ65 #generativeai #largelanguagemodels #promptengineering.