
Explore the architecture and functioning of ChatGPT four, built on the GPT 3.5 generative pre-trained transformer, and how it processes prompts to generate coherent, context-aware text.
Explore ChatGPT's input-output mechanism, including token-by-token processing and context retention, and see how fine-tuning adapts it for coherent, finance-focused responses.
Refine financial data for ChatGPT in finance by cleaning, tokenizing, and formatting to ensure high quality inputs and improve model performance and insights.
Learn data pre-processing for ChatGPT in finance, including cleaning, missing data handling, outlier correction, tokenization, and formatting to enable accurate sentiment analysis and insights from annual reports.
Explore how fine tuning domain-specific data set tailors ChatGPT for finance, improving its grasp of financial terms like dividends and bear market, and enabling personalized investment advice.
Fine tuning trains chat gpt four on a domain specific data set to master financial language, with validation on unseen data and finance examples like customer queries and market trends.
Explore best practices and considerations for fine tuning chargeability in financial applications with ChatGPT, emphasizing representative data sets, diverse financial language, and ethical evaluation metrics to balance specificity and generalization.
Compare the current human-led investment analysis workflow with a Gen AI integrated approach. It covers research, data analysis, risk assessment, portfolio construction, and investor presentation.
Pair analysts with ChatGPT to research preferences, financial goals, and risk tolerance, while ChatGPT highlights market trends. Collaborate on analyzing statements, assess risk, constructing diversified portfolios, and presenting investment opportunities.
Learn to implement AI-driven investment analysis for an assumed company using LSTM stock price prediction and sentiment analysis of financial news, with Python, TensorFlow or PyTorch, and NLTK.
Explore how an LSTM stock price prediction model uses normalized historical prices, prepares test sets (X_test, y_test), and evaluates accuracy with MSE and RMSE to guide investment decisions.
Explore how sentiment analysis informs investment decisions by analyzing sentiment scores and their correlation with stock price movements, including positive and negative correlations and their implications.
Integrates lstm-based stock predictions with sentiment analysis into an integrated financial analysis, using combined signals and buy/sell thresholds to adjust the portfolio and generate a gen ai based financial report.
AI-based analysis guides buy and sell decisions, portfolio adjustments, risk management, capital allocation, rebalancing, and dividend reinvestment, with LSTM and sentiment analysis evaluating performance and market indicators.
Get This ChatGPT Finance Application Course to Learn about what would financial landscape be looking like after Artificial Intelligence Models are there to analyse the various aspects of finance.
Concepts of the Course Includes :
1. Pre Processing of Financial Data
2. Input Output Mechanism of Financial ChatGPT
3. Fine Tuning the Financial Data
4. Pre and Post of Finance after ChatGPT
5. ChatGPT Application for Financial Analysis for an Investment Strategy
AI for Finance
1. Stay ahead with Early Understanding about ChatGPT's role in your work roles
2. Apply the Models of ChatGPT for Analyzing the Financial aspects
3. Get Real Time Insights about the application of ChatGPT
The course begins with how can financial data be prepared for running in ai pre trained models and how would the reports and analysis of ChatGPT generated reports would be looking like.
Highly Recommended for :
1. Students Looking to Get Understanding about AI Integrated Finance roles
2. Professionals looking to understand AI Integrated Finance
3. Business planning to Integrate Finance for their ventures
4. Coders looking to understand their coding application in Financial Domains
5. Early Startups looking to understand AI Integrated Finance to built Fintech for Future
The course completion doesn't needs you to be a coder to understand the course. We would be explaining your anywhere codes are shown for example purpose.
All the Best For Your Journey to Artificial Intelligence Integrated Finance using ChatGPT!