Linkedin - AI Orchestration Validation and User Feedback and Performance Metrics

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Free Download Linkedin - AI Orchestration Validation and User Feedback and Performance Metrics
Released 04/2025
With Janani Ravi
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 2h 1m 59s | Size: 190 MB

Discover the essentials of model evaluation, usability testing, feedback, and performance analysis for ML and AI models.
Course details
Ready to get up to speed with the latest, most cutting-edge trends in AI orchestration? In this course, instructor Janani Ravi provides a comprehensive Overview of how to effectively evaluate and integrate user feedback into AI models. Focusing on both traditional models and large language models (LLMs), Janani introduces essential concepts such as validation techniques, performance metrics, user feedback mechanisms, and more. Along the way, get hands-on experience with validating models through cross-validation and k-fold cross-validation, as well as practical applications of performance metrics like accuracy, precision, recall, using reinforcement learning for human feedback, and the BLEU, ROUGE, and METEOR scores for LLM evaluation.
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AI Orchestration: Validation and User Feedback and Performance Metrics
Released: 4/7/2025
Duration: 2h 1m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 190 MB
Genre: eLearning | Language: English​

Ready to get up to speed with the latest, most cutting-edge trends in AI orchestration? In this course, instructor Janani Ravi provides a comprehensive overview of how to effectively evaluate and integrate user feedback into AI models. Focusing on both traditional models and large language models (LLMs), Janani introduces essential concepts such as validation techniques, performance metrics, user feedback mechanisms, and more. Along the way, get hands-on experience with validating models through cross-validation and k-fold cross-validation, as well as practical applications of performance metrics like accuracy, precision, recall, using reinforcement learning for human feedback, and the BLEU, ROUGE, and METEOR scores for LLM evaluation.

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