Part 2/10:
The conversation begins with verifying ChatGPT’s understanding of LLM technology. The goal is to gauge the AI’s grasp of foundational concepts like working memory, task sets, and the list of prominent LLM architectures.
ChatGPT demonstrates familiarity with models such as GPT, BERT, Transformer XL, and XLNet. However, it does not explicitly mention more recent or specific models like GPT-J or GPT-3, which are essential for modern applications.
Structuring the Chatbot: Input, Output, and Memory Management
A significant portion of the discussion involves how to structure the input and output for effective chatbot operation. The key points include:
- Conversation as Data: Training data should comprise multiple conversations, emphasizing natural dialogues.