This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord.
🌟 LLMs-in-Finance **Exploring how to apply GenAI to real-world financial workflows with AI Agents, RAG, and Multimodal LLMs** Welcome to the **LLMs-in-Finance** repository! If you find this work helpful, **please consider giving the repository a ⭐️** to support and help others discover it! AI Agents in Finance Below are some examples included in this repository: OpenAI Agents SDK Autonomous Strategy Code Review Using AI Agents and LLM-as-a-Judge: Implement Financial News Bot using Evaluator-Optimizer
Multi-Agent System (LLM-as-a-Judge) AutoGen Learn How to Configure an AutoGen Financial AI Agent! *Use Case: Fetch and Analyze Data & Develop a Momentum Trading Strategy* How to Leverage the AutoGen Framework for Collaborative Task Management *Use Case: Optimizing a Momentum Trading Strategy* LlamaIndex How to Get insightful information about a Stock performance in one click with code interpreter agent using LlamaIndex and Anthropic Looking for a simple way to integrate AI Agents into your financial analysis? Introspective
_Agent_Worker_LLamaIndex_Financial_Tasks Learn how to build your own Multi-Agent Fundamental Analysis Workflow with LlamaIndex CrewAI Multi-Agent collaboration using CrewAI to: Provide insights of Apple' trend analysis, Extract sentiment analysis from news article, and Propose trading strategies based on these insights. LangGraph AI-Agent For Trading Strategy Implementation: From Concept to Execution and Reflection Anthropic How Can You Build a Financial Agentic System Using Anthropic, LlamaIndex, and APIs? RAG In this part, I provide several examples
with various providers/libraries on how to parse complex financial reports: LlamaIndex, Anthropic, OpenAI, aisuite. Some interesting notebooks to look at: Financial Report Analysis with LlamaParse AutoMode Prompt Caching With Anthropic I've also inlcluded an example on how to **evaluate** your RAG system with DeepEval, GiskarAI. Multimodals You'll find in this repo several examples showcasing the use of various multimodal LLMs such Claude sonnet 3. 5, GPT-4o and recently released o1 Reasoning model. The goal is to evaluate how
effectively they interpret complex charts found in financial reports. Papers in Finance I provide here a brief description of several papers discussing the application of GenAI in finance. Others You can also find other examples related to synthetic data. Disclaimer This project is intended solely for educational and research purposes. It is not designed for real trading or investment use. No warranties or guarantees are provided. The creator bears no responsibility for any financial losses. By using this software, you
acknowledge and agree that it is for learning purposes only.
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README
🌟 LLMs-in-Finance
Exploring how to apply GenAI to real-world financial workflows with AI Agents, RAG, and Multimodal LLMs
Welcome to the LLMs-in-Finance repository!
Here, you'll find hands-on Jupyter notebooks demonstrating how to apply the latest Generative AI tools—like OpenAI's Agents SDK, Anthropic's Claude, AutoGen, LlamaIndex, and CrewAI—to practical finance use cases.
🚀 Whether you're building a multi-agent system to analyze markets, applying RAG to earnings reports, or testing multimodal models on financial charts—this repo is for you!
If you find this work helpful, please consider giving the repository a ⭐️ to support and help others discover it!
🔍 What's Inside?
This repo is structured into the following key areas:
AI Agents in Finance — Use frameworks like AutoGen, LlamaIndex, and CrewAI to create collaborative agents for financial analysis.
RAG — Learn to retrieve, parse, and analyze financial documents using Retrieval-Augmented Generation techniques.
Multimodals — Test how well models like GPT-4o and Claude Sonnet 3.5 interpret charts in earnings reports.
Papers in Finance — A curated summary of research papers on GenAI in financial applications.
In this part, I provide several examples with various providers/libraries on how to parse complex financial reports: LlamaIndex, Anthropic, OpenAI, aisuite.
You'll find in this repo several examples showcasing the use of various multimodal LLMs such Claude sonnet 3.5, GPT-4o and recently released o1 Reasoning model. The goal is to evaluate how effectively they interpret complex charts found in financial reports.
