At Cobalt Intelligence we focus on verifying business data, primarily from the Secretary of State. I'm Jordan Hansen, a software engineer and expert at providing business information to alternative business finance companies so they can reduce the amount of time they spend on business due diligence. cobaltintelligence.comand 1 more link
ChatGPT Plus has almost 200 Million users and AI market is saturated. But very few offer the kind of customization you need.
Most off-the-shelf solutions barely scratch the surface of what's possible.
This mismatch between expectation and reality puts you at a disadvantage. It means wasted resources and missed opportunities.
The video covers how to build a GPT tool that can be integrated directly into software for answering questions about disclosure laws. This is aimed at those who prefer a more code-centric approach rather than using GPT Plus.
You can apply the same principle for any software you might want to develop!
We cover everything from:
- Building a GPT-based legal assistant for your finance software
- Integrating AI to automate and streamline compliance with state-specific disclosure laws
- Creating and managing threads and messages using OpenAI's API
- Utilizing TypeScript and Node.js for AI-driven applications
- Debugging and refining the code
- Demonstrating real-time problem-solving and adjustments to ensure the assistant functions as intended
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Here's a video guide:
00:00 - Introduction to Managing Disclosure Laws and Alternative Finance
- Difficulties in navigating disclosure laws
- Building a legal assistant integrated into software
- Answering state-specific legal questions
01:13 - Previous Video Recap and Introduction to Today's Code Tutorial
- Recap: Building a GPT for UI interactions
- Discussion on GPT-Plus and its alternatives
- Introduction to today's Node.js and API based tutorial
02:30 - Jordan Hansen's Introduction and Purpose of Cobalt Intelligence
- Cobalt Intelligence's work in AI automation in alternative finance
03:05 - Creating a New Legal Assistant with ChatGPT
- The beta section of ChatGPT for creating legal assistants
- Setting up instructions for the legal assistant's behavior
- Choosing models and enabling code interpreter and file retrieval functions
- Adding relevant legal documents as files into ChatGPT
06:07 - Developing the Node.js Environment
- Setting up the development environment for Node.js with TypeScript
- Explaining package.json and dependencies
- Writing the code to interact with OpenAI's API
- Explaining the chat context and thread creation for the assistant
09:15 - Running the AI Assistant and Handling User Input
- Starting the first thread for the AI assistant
- Creating and managing runs for processing user input
- Polling for the run status and updating the thread with new messages
- Extracting and logging the resulting information after processing
12:36 - Refactoring and Enhancing the Code for User Interaction
- Discussing the restructuring of the code to allow continuous user input
- The trial and error process of coding user input functionalities
- Running the code and troubleshooting issues encountered
16:35 - Debugging and Utilizing Documentation to Improve Code Logic
- Consulting the OpenAI documentation for managing threads and messages
- Making sense of the information to add new messages to a thread
- Finalizing the function to accept and process follow-up questions
19:55 - Running Final Tests and Assessing the AI Assistant's Responses
- Testing the updated code to ensure it can handle follow-up questions
- Evaluating the AI assistant's ability to provide correct and referenced responses from the legal documentation
22:40 - Addressing Shortcomings and Future Improvements
- Identifying areas where the AI assistant needs better prompts
- Highlighting the importance of accurate assistance in the legal domain
23:50 - Conclusion and Offer to Access the Code
- Summarizing the video's purpose and accomplishments
#CobaltIntelligence#AlternativeFinance#LegalAI#OpenAI#NodeJS#TypeScript#Compliance#AIautomation#FinanceSoftware#DeveloperTutorial#CodeTutorial
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