Assistants API & Open source Hack Night @ The Commons

​Hack on use cases for the new Open AI Assistants API! Use the standard API or try out open source models using Louis's Stellar API that lets you switch models with one line of code. The goal is to learn about the power of Assistants API and apply them to real problems.
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About Assistants API:
The Assistants API trumps traditional methods like LangChain by offering several unique advantages:

​- Retrieval: It's a powerful tool that provides specific context to the Language Model (LLM). It's like a librarian who knows exactly which book (context) to give you based on your question. It's automatic and based on semantics.

​- Function Calling: This is another way to provide specific context to the LLM, but it's more like a concierge who decides what service (context) you need based on your request. The LLM gets to decide what context to use, giving it more flexibility.

​- Code Interpreter: This is your math whiz. It handles complex math that LLMs can't handle on their own. For instance, if you want to process math-heavy excel sheets.

​- Assistants API: This is the maestro, the conductor of the orchestra. It allows the LLM to automatically decide which of these tools to use based on the task at hand. It's like having an automatic gear in your car, you just need to steer and the car decides when to change gears.

​In essence, the Assistants API is your Swiss Army knife for building robust, intelligent, and efficient AI applications without having headaches with the infrastructure.

​Here are some sample use cases, but you can build whatever you like!

​1. AI-Powered Personal Tutor: An educational app that uses AI to provide personalized tutoring. The AI assistant could help students with homework, explain complex concepts, and provide practice problems. It could use the code interpreter feature to solve math problems and explain the steps.

​2. AI-Powered Fitness Coach: A fitness app that uses AI to provide personalized workout plans and dietary advice. The AI assistant could use the function calling feature to generate workout plans based on user input, such as their fitness level, goals, and available equipment.

​3. AI-Powered Financial Advisor: A financial planning app that uses AI to provide personalized financial advice. The AI assistant could use the code interpreter feature to perform complex financial calculations, such as calculating the potential returns on an investment.