Evaluate LLMs with the Language Model Evaluation Harness
| Channel | Publish Date | Thumbnail & View Count | Download Video |
|---|---|---|---|
 | Publish Date not found |  0 Views |
In this tutorial, I delve into the intricacies of evaluating large language models (LLMs) using the versatile Evaluation Harness tool. Learn how to rigorously test LLMs across a variety of datasets and benchmarks, including HellaSWAG, TruthfulQA, Winogrande, and more. This video showcases Meta AI's LLaMA 3 model and demonstrates step-by-step how to perform assessments directly in a Colab notebook, providing practical insights into AI model assessment.
Don't forget to like, comment and subscribe for more insights into the world of AI!
GitHub repository: https://github.com/AIAnytime/Eval-LLMs
Join this channel to access benefits:
https://www.youtube.com/channel/UC-zVytOQB62OwMhKRi0TDvg/join
To further support the channel, you can contribute in the following ways:
Bitcoin address: 32zhmo5T9jvu8gJDGW3LTuKBM1KPMHoCsW
UPI: sonu1000raw@ybl
#openai #llm #ai
Please take the opportunity to connect and share this video with your friends and family if you find it useful.
