Hyperparameter Settings of LLM for Text Generation

Hyperparameter Settings of LLM for Text Generation using GPT-Neo 1.3B! 🤖
In this video, we will learn how to set a hyperparameter of LLM GPT-Neo 1.3B from EleutherAI in this case.
🔍 What's Inside?
We'll be diving into Greedy Search, Beam Search, Temperature adjustments, and the magic of Top-k and Top-p sampling.
💻 Code Unveiling!
Follow along with code snippets straight from the Kaggle notebook, as we run GPT-Neo through its paces to see the effect of that hyperparameter of the model's text generation in action.
Explore how adjusting parameters like temperature can turn your text generation into a symphony of creativity.
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🙌 Stay Connected!
Connect with me at / turgut-ozal-guvenc
Kaggle Notebook: www.kaggle.com...
🔗 Links:
huggingface.co...
pile.eleuther.ai/
Thanks for watching 🚀✨ Happy coding!
#GPTNeo #TextGeneration #AIExploration #EleutherAI #deeplearningtutorial #deeplearning

[@datascienceandmachinelearn2537]

Great content.
Thanks for sharing.