Benchmarking, Improving AI Model - BLEU, TER, GLUE and more
Master the art of benchmarking Machine learning models for any usage from Generative AI to narrow ai as computer vision
5.00 (3 reviews)
19
students
6.5 hours
content
Mar 2025
last update
$54.99
regular price
What you will learn
What is Machine Learning benchmarking and how does it work
Standard Metrics used in AI ( Reliability, F1 Score, Recall)
Run a test through an API
How to run a benchmark against GLUE Metric
How to run a benchmark against BLUE Metric
MMLU (Massive Multitask Language Understanding) Benchmarking
TruthfulQA -Evaluation of Truthfulness in Language Models
Run Benchmark against SQuAD (Stanford Question Answering Dataset)
Understand the AI Model Lifecycle
Perplexity and Bias Benchmarking
Benchmark Against AI Fairness- Bias in Bios
Usage of HuggingFace models for benchmark and training
Computer Vision benchmark with CIFAR 10 dataset
Screenshots
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udemy ID
11/11/2024
course created date
12/8/2024
course indexed date
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