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Udemy - FLUID Principles Introducing Prompt Engineering & Design
#1
[Image: 359020115_tuto.jpg]
945.58 MB | 00:06:06 | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Key Concepts in Prompt Engineering Principles, Patterns, and Optimization (38.51 MB)
2 -The FLUID Framework Key Design Principles in Prompt Engineering (35.36 MB)
3 -The Synergetic Impact of Combined Prompt Design Principles (15.4 MB)
4 -DESIGN Structured Patterns for Effective Prompt Design (31.34 MB)
5 -Model Performance Optimization with Selection, Control and Adaptation (28.05 MB)
1 -Recognizing Vagueness, Incompleteness and Irrelevancy in Prompts (27.22 MB)
2 -The Focus on the Problem Principle (18.84 MB)
3 -Demo Sharpening Prompts to Overcome Focus Pitfalls (66.98 MB)
4 -Focused Summary (9.98 MB)
1 -The Importance of Continuous Learning in Prompt Design (20.57 MB)
2 -The Learner Aptitude Principle (14.41 MB)
3 -Demo Discovering New Dimensions with Conceptual Blending (34.47 MB)
4 -Demo Creative Prompting with Stylistic Transplantation (27.8 MB)
5 -Demo Uncovering New Possibilities Through Counterfactual Prompts (36.66 MB)
6 -Open-Minded Summary (9.85 MB)
1 -Ethical Principles for a Responsible AI (41.89 MB)
2 -The Uprightness Usage Principle A Practical Application of Responsable AI (43.99 MB)
3 -Demo Refining Prompts for Ethical Consideration (56.33 MB)
4 -Responsible Summary (16.14 MB)
1 -Common Interaction Challenges with Large Language Models (17.17 MB)
2 -The Incisive Instructions Principle (18.7 MB)
3 -Demo Boosting Prompts for Accurated Responses (67.43 MB)
4 -Boosted Summary (19.07 MB)
1 -Understanding Problem Understanding Issues (21.47 MB)
10 -Refined Summary (9.52 MB)
2 -Understanding Model Understanding Issues (16.68 MB)
3 -The Diligence for Crafting Principle (25.72 MB)
4 -Evaluation Approaches for Prompt Designers (25.55 MB)
5 -Evaluation Metrics for Pre-Trained Models (47.61 MB)
6 -Demo Evaluating Metrics for Acceptable Responses (42.5 MB)
7 -The Output Inspection Phase (5.7 MB)
8 -Demo Inspecting Outputs for High-Quality Responses (38.61 MB)
9 -The Iterative Prompt Refinement Process (16.07 MB)
Screenshot
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