An AI development company is working on an AI-assisted chatbot for a customer, which happens to be an online retail company. The goal is to create an assistant that can best answer queries regarding the company policies as well as retain the chat history throughout a session. Considering the capabilities, which type of model would be the best?
When does a chain typically interact with memory in a run within the LangChain framework?
Why is it challenging to apply diffusion models to text generation?
When is fine -tuning an appropriate method for customizing a Large Language Model (LLM)?
Given the following code block: history = StreamlitChatMessageHistory(key="chat_messages") memory = ConversationBufferMemory(chat_memory=history) Which statement is NOT true about StreamlitChatMessageHistory?
➢ TOTAL QUESTIONS: 168 What is the role of temperature in the decoding process of a Large Language Model (LLM)?
