Оценка Amazon Bedrock: люди против автоматики | AWS Certified AI Practitioner (AIF-C01)

AWS Certified AI Practitioner (AIF-C01) — this lesson explains how human qualitative judgement differs from automated quantitative metrics in Amazon Bedrock, and how to apply both effectively. AWS Certified AI Practitioner (AIF-C01) learners will get practical guidance and an exam-style decision rule to recognise which evaluation approach is appropriate for different use cases. In this video Sean explains: What human evaluation captures (nuance, safety, intent) and when it is essential. What automatic metrics (BLEU, ROUGE, BERTScore F1) measure and their limits. How to combine human and automatic evaluation in Amazon Bedrock workflows. Practical examples of bias, hallucination checks, and user-experience assessment. When to use small-scale human review versus large-scale automated scoring. How to interpret BERTScore F1 and common pitfalls when relying solely on scores. Exam decision rule: If the task requires subjective judgement (safety, tone, intent) favour human evaluation; for repeatable factual matching at scale, prefer automated metrics but validate with spot-checks. Subscribe for more AIF-C01 exam-focused lessons and practical Bedrock demos. #AmazonBedrock #ModelEvaluation #AIFC01 This content is for educational purposes only. It is independent content and is not affiliated with, endorsed by, or sponsored by Amazon Web Services. AWS certification exam guides, domains, and formats can change; refer to official AWS certification resources for current information.