AI-Powered Investing Assistant - Revolutionizing Stock Analysis Part 4

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AI-Powered Investing Assistant - Revolutionizing Stock Analysis Part 4

Рет қаралды 167

Күн бұрын

Are you interested in how AI can be applied to financial research and investing? 📈 In this video, I continue to walkthrough the design and development of an AI-Powered Investing Assistant that performs financial analysis and question answering on any stock. 💡 This AI Investing Assistant simplifies complex financial analysis 📊 and helps inform intelligent investment decisions by combining real-time data 🌐 with the analytical and natural language capabilities of GPT-4. Users can submit a natural language question about any company and receive an accurate and insightful response.
Part 4 of the series is about transforming natural language into database queries so that we can access the data through conversation. This module of the application takes a user's question and accesses the real time information required to provide an accurate and useful answer.
Full Video Series:
Part 1 - • AI-Powered Investing A...
Part 2 - • AI-Powered Investing A...
Part 3 - • AI-Powered Investing A...
#AI #ArtificialIntelligence #FinancialResearch #Investing #StockMarket #OpenAI #GPT #AIFinance #FinancialAnalysis

Пікірлер: 3

@buildstuff.climbthings 9 ай бұрын

Nice video, informative and the pacing is great. Is there any sanitization of the LLMs input into the query sent to the db?

@aarondunn-zt7ev 9 ай бұрын

Thanks for the comment. I appreciate it! As of this moment there is no SQL sanitation that would filter out malicious queries. This is a very good point, and something could be explored. One of the factors that would protect the database from injections is that it’s the LLM which creates the query based on the prompt and there are constraints in the prompt which restrict what can go into the query. However, I’m sure that some very creative prompt injection strategies could have the LLM produce unexpected and undesirable behaviour. Its something to experiment with and research further.

@buildstuff.climbthings 9 ай бұрын

@@aarondunn-zt7ev at the very least I suppose limiting the access of the user running the LLM's queries would prevent any little Bobby tables incidents 😅