๐ค Building a minimal agent framework using OpenAI's function calling method.
๐ OpenAI's function calling feature allows passing instructions to execute functions and return JSON responses.
โ๏ธ The framework aims to automatically infer function instructions and incorporate conversational history.
๐ค Building chatbot agents with OpenAI Functions.
๐ Using functions to calculate the circumference of a circle.
๐ข Exploring the limitations of language models in basic math.
๐ค The chatbot agent can generate descriptions and instructions automatically based on the function passed to it.
๐งฎ When using the circumference calculator function without the external tool, the calculated answer is close but not exact.
๐ข The function parameters and their descriptions are contained within the function definition.
๐ก The video is about building chatbot agents from scratch using OpenAI Functions.
๐ ๏ธ The process involves parsing the functions and constructing instructions for function calling.
๐ฃ๏ธ The agent also requires the language model, function mappings, and chat history for conversational purposes.
๐ The chatbot agent uses conversational history to generate queries and responses.
๐ The agent can double the radius of a circle and calculate its new circumference.
๐ฌ Conversational history plays a crucial role in making the agent more conversational.
๐ญ The LM generates a response based on the given parameters.
๐ The response is then used to feed into a specific function to obtain an answer.
๐ The LM continues generating responses until a stop condition is reached.
โจ Creating a minimal chatbot agent with OpenAI functions.
๐ง Using functions to perform different tasks within the agent.
๐ง Exploring the components and interactions of a conversational agent.
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