Understanding Text Generation Parameters in Transformers
Understanding Text Generation Parameters in Transformers
This post is divided into seven parts; they are: • Core Text Generation Parameters • Experimenting with Temperature • Top-K and Top-P Sampling • Controlling Repetition • Greedy Decoding and Sampling • Parameters for Specific Applications • Beam Search and Multiple Sequences Generation Let's pick the GPT-2 model as an example.
This post is divided into seven parts; they are: • Core Text Generation Parameters • Experimenting with Temperature • Top-K and Top-P Sampling • Controlling Repetition • Greedy Decoding and Sampling • Parameters for Specific Applications • Beam Search and Multiple Sequences Generation Let's pick the GPT-2 model as an example.
What aspect of Artificial Intelligence interests you the most?
Total Vote: 2
Machine Learning and Deep Learning
0 %
Natural Language Processing (NLP)
0 %
Robotics and Automation
0 %
AI Ethics and Governance
50 %
AI in Healthcare
0 %
Autonomous Vehicles
0 %
AI in Finance
50 %
Computer Vision
0 %
Other...
0 %
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