4.64 GB | 8min 49s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Section Introduction.mp4 (23.74 MB)
2 -Developing a Testing Framework.mp4 (73.6 MB)
3 -Techniques for Prompt Validation.mp4 (70.12 MB)
4 -AB Testing of Prompts.mp4 (83.33 MB)
5 -Analyzing Prompt Performance Metrics.mp4 (80.2 MB)
6 -Iterative Improvement of Prompt Designs.mp4 (70.11 MB)
7 -Section Summary.mp4 (21.47 MB)
1 -Section Introduction.mp4 (27.08 MB)
2 -Prompt Engineering in Business Intelligence.mp4 (88.62 MB)
3 -Enhancing Customer Experience with Prompts.mp4 (76.91 MB)
4 -Applications in Healthcare Data Analysis.mp4 (82.91 MB)
5 -Prompts for Social Media and Marketing Analytics.mp4 (84.14 MB)
6 -Future Directions in Prompt Engineering Applications.mp4 (81.82 MB)
7 -Section Summary.mp4 (23.3 MB)
1 -Conclusion.mp4 (39.86 MB)
1 -Section Introduction.mp4 (22.23 MB)
2 -Understanding Prompt Engineering.mp4 (96.59 MB)
3 -The Role of Prompts in Data Science.mp4 (90.85 MB)
4 -Importance of Context in Prompt Engineering.mp4 (88.92 MB)
5 -Key Elements of Effective Prompts.mp4 (90.39 MB)
6 -Overview of Prompt Engineering Tools.mp4 (79.88 MB)
7 -Section Summary.mp4 (20.88 MB)
1 -Section Introduction.mp4 (19.51 MB)
2 -Introduction to Data Science Concepts.mp4 (97.12 MB)
3 -Basics of Data Analytics.mp4 (90.35 MB)
4 -The Data Science Workflow.mp4 (83.84 MB)
5 -Understanding Data Types and Sources.mp4 (79.68 MB)
6 -The Role of AI and Machine Learning in Data Science.mp4 (93.77 MB)
7 -Section Summary.mp4 (21.24 MB)
1 -Section Introduction.mp4 (22.47 MB)
2 -Introduction to Natural Language Processing (NLP).mp4 (94.85 MB)
3 -NLP Techniques for Effective Prompts.mp4 (86.5 MB)
4 -Tokenization and Text Preprocessing.mp4 (82.04 MB)
5 -Sentiment Analysis and its Applications.mp4 (82.33 MB)
6 -Language Models and Their Impact on Prompts.mp4 (83.63 MB)
7 -Section Summary.mp4 (25.25 MB)
1 -Section Introduction.mp4 (23.04 MB)
2 -Crafting Clear and Concise Prompts.mp4 (79.12 MB)
3 -Aligning Prompts with Data Objectives.mp4 (85.66 MB)
4 -Techniques for Prompt Optimization.mp4 (83.65 MB)
5 -Handling Ambiguity in Prompts.mp4 (80.26 MB)
6 -Evaluating Prompt Effectiveness.mp4 (81.23 MB)
7 -Section Summary.mp4 (18.88 MB)
1 -Section Introduction.mp4 (22.51 MB)
2 -Incorporating Prompts in Data Collection.mp4 (80.7 MB)
3 -Using Prompts for Data Cleaning and Transformation.mp4 (87.39 MB)
4 -Prompts for Data Visualization and Reporting.mp4 (87.79 MB)
5 -Enhancing Predictive Models with Prompts.mp4 (90.56 MB)
6 -Automating Data Processes with Prompt Engineering.mp4 (84.99 MB)
7 -Section Summary.mp4 (24.36 MB)
1 -Section Introduction.mp4 (21.52 MB)
2 -Understanding Bias in Prompts.mp4 (105.11 MB)
3 -Ensuring Fairness and Transparency.mp4 (79.82 MB)
4 -Privacy and Security Concerns.mp4 (87.82 MB)
5 -Mitigating Misuse of Prompt Engineering.mp4 (70.14 MB)
6 -Developing Ethical Guidelines for Prompt Use.mp4 (89.15 MB)
7 -Section Summary.mp4 (24.21 MB)
1 -Section Introduction.mp4 (21.61 MB)
2 -Overview of Popular Prompt Engineering Tools.mp4 (83.77 MB)
3 -Using OpenAI GPT for Prompt Engineering.mp4 (80.29 MB)
4 -Exploring Google BERT and Other Models.mp4 (91.93 MB)
5 -Customizing Tools for Specific Needs.mp4 (87.66 MB)
6 -Evaluating Tool Performance and Suitability.mp4 (93.68 MB)
7 -Section Summary.mp4 (27.1 MB)
1 -Section Introduction.mp4 (22.78 MB)
2 -Adaptive Prompting Strategies.mp4 (71.87 MB)
3 -Dynamic Prompt Adjustments.mp4 (87.51 MB)
4 -Leveraging Multi-turn Conversations.mp4 (97.72 MB)
5 -Contextual Prompt Generation.mp4 (86.03 MB)
6 -Integrating Feedback for Continuous Improvement.mp4 (92.2 MB)
7 -Section Summary.mp4 (23.38 MB)]
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