Large Language Models in Finance - A hands-on guide to applying L...

Category : Other
Type: E-Books
Language: English
Total Size: 7.8 MB
Uploaded By: freecoursewb
Downloads: 30451
Last checked: Aug. 10th '26
Date uploaded: Aug. 10th '26
Seeders: 23649
Leechers: 8785
INFO HASH: 57C35FAD60F2F75E821AA9C02B02A07569937F21

About Large Language Models in Finance - A hands-on guide to applying L...

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Large Language Models in Finance: A hands-on guide to applying Large Language Models in trading, banking, risk https://WebToolTip.com English | August 11, 2026 | ASIN: B0FV5WTRZY | Pages 531 | Epub | 7.8 MB Implement Large Language Models to transform finance with this hands-on guide. Build AI agents, automate trading and banking, enhance risk management, and streamline compliance with real examples.Key FeaturesImplement LLM solutions for trading, investment analysis, and banking operationsBuild

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Large Language Models in Finance: A hands-on guide to applying Large Language Models in trading, banking, risk

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https://WebToolTip.com

English | August 11, 2026 | ASIN: B0FV5WTRZY | Pages 531 | Epub | 7.8 MB

Implement Large Language Models to transform finance with this hands-on guide. Build AI agents, automate trading and banking, enhance risk management, and streamline compliance with real examples.Key FeaturesImplement LLM solutions for trading, investment analysis, and banking operationsBuild Financial agents to automate financial tasks in risk management and complianceExplore real-world case studies, advanced model techniques, and future AI trendsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionLarge language models are revolutionizing finance from market analysis to compliance automation but applying them in practice can be challenging. LLMs in Finance is a step-by-step guide that demystifies these powerful models and shows you how to implement them in real financial projects. You'll begin with the fundamentals of how LLMs work, including the transformer architecture, prompt engineering, and fine-tuning for financial data. Next, you'll build applications: intelligent agents for trading; tools for banking tasks like credit scoring and fraud detection; and automated solutions for risk management and regulatory compliance.

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