Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
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Updated
Oct 1, 2019 - Python
Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network
Simulator for training and evaluation of Recommender Systems
An easy python package to run quick basic QA evaluations. This package includes standardized QA evaluation metrics and semantic evaluation metrics: Black-box and Open-Source large language model prompting and evaluation, exact match, F1 Score, PEDANT semantic match, transformer match. Our package also supports prompting OPENAI and Anthropic API.
grpo to train long form QA and instructions with long-form reward model
The official PyTorch implementation for the Guided by Gut: Efficient Test-Time Scaling with Reinforced Intrinsic Confidence
Deep Reinforced Model for Abstractive Summarization
Guided by Gut offers a streamlined approach to Test-Time Scaling using advanced reinforcement learning techniques. Explore the repository for practical implementations and insights into confidence-based fine-tuning and self-guided tree search. 🐙🌟
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