edX
MOOC / Non-credit
0
LLM Evaluation Techniques in Practice
About this course
Learn practical techniques for evaluating large language models across question answering and text generation tasks. Compare model behavior using reference-based metrics, semantic similarity, log probabilities, and perplexity.
C
59/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand reference-based metrics
- evaluate model behavior using semantic similarity
- compute log probabilities and perplexity
Course objectives
- develop skills for practical evaluation of language models
- compare model performance across tasks
Machine Learning
#machine learning
#model evaluation
#data analysis
#language models
#question answering
#evaluation techniques
#text generation
#semantic similarity
#log probabilities
#perplexity
$30.00
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- English · 0
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