1 dépôt
Awesome GitHub RepositoriesMarket-Based Reward Optimization
Techniques for refining model accuracy using actual market outcomes as reward signals for reinforcement learning.
Distinct from Model Performance Optimization: Focuses on using real-world financial price movements as the reward signal instead of general performance metrics or human ratings
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Awesome Market-Based Reward Optimization GitHub Repositories
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- ai4finance-foundation/fingpt
AI4Finance-Foundation/FinGPT
20,507Voir sur GitHubFinGPT is a suite of specialized financial tools and a framework for adapting large language models to the financial domain. It provides a set of pipelines for financial entity extraction, sentiment analysis, and retrieval-augmented generation to improve the accuracy of financial information systems. The project distinguishes itself through efficient training workflows, utilizing low-rank adaptation and quantized low-rank adaptation to fine-tune models on consumer-grade hardware. It employs market-labeled datasets and reinforcement learning that uses actual stock price movements as reward sig
Optimizes model performance by applying reinforcement learning based on actual stock price movements instead of human ratings.
Jupyter Notebookchatgptfinancefingpt
