Revolutionizing Investment: AI Advisor for Stock Predictions
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Siraj Raval has created a groundbreaking AI investment advisor using the powerful Llama 2 model, allowing him to predict stock prices, generate investment theses, and craft trading strategies with unparalleled precision. Unlike other limited AIs in the market, Raval's creation boasts a unique code interpreter, enabling it to not only write but also execute code for a more comprehensive analysis. By fine-tuning Llama 2 on code data, he birthed the codelama code interpreter, running on a GPU for optimal performance. This innovative AI spits out code responses that tap into real-time web data, shaping insightful investment theses for users.
Raval demonstrates the setup and execution of the code interpreter in a user-friendly Google Colab notebook, making the process from zero to running a breeze. The AI's code responses undergo meticulous pre-processing, execution, and refinement to ensure accuracy and reliability in generating investment strategies. While Llama 2 shines as the primary model, Raval mentions alternative AI models like replit's replica code V1 3B as cost-effective options for running inference. He emphasizes the significance of using open-source models for investment advice, highlighting the economic advantage over paid services like OpenAI.
The simplicity and effectiveness of Raval's AI lie in its ability to output code responses that are executed to provide unrestricted and insightful investment advice. By leveraging the AI's capabilities to access real-time data from the web, users can make informed investment decisions with confidence. Raval briefly touches on the potential of using Agents to automate investment decisions but expresses a preference for composer for its user-friendly interface and robust backtesting features. He encourages viewers to explore composer for a seamless and rewarding investment experience.
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