Building Chatbot Agents from Scratch with OpenAI Functions: Explore Features and Applications

🤖 Building a minimal agent framework using OpenAI's function calling method.

🔑 OpenAI's function calling feature allows passing instructions to execute functions and return JSON responses.

⚙️ The framework aims to automatically infer function instructions and incorporate conversational history.

🤖 Building chatbot agents with OpenAI Functions.

📏 Using functions to calculate the circumference of a circle.

🔢 Exploring the limitations of language models in basic math.

🤖 The chatbot agent can generate descriptions and instructions automatically based on the function passed to it.

🧮 When using the circumference calculator function without the external tool, the calculated answer is close but not exact.

🔢 The function parameters and their descriptions are contained within the function definition.

💡 The video is about building chatbot agents from scratch using OpenAI Functions.

🛠️ The process involves parsing the functions and constructing instructions for function calling.

🗣️ The agent also requires the language model, function mappings, and chat history for conversational purposes.

🔍 The chatbot agent uses conversational history to generate queries and responses.

🔄 The agent can double the radius of a circle and calculate its new circumference.

💬 Conversational history plays a crucial role in making the agent more conversational.

💭 The LM generates a response based on the given parameters.

📝 The response is then used to feed into a specific function to obtain an answer.

🔁 The LM continues generating responses until a stop condition is reached.

✨ Creating a minimal chatbot agent with OpenAI functions.

🔧 Using functions to perform different tasks within the agent.

🧠 Exploring the components and interactions of a conversational agent.