text: human input is being transcribed from audio and as such there may be some errors in the transcription. It will attempt to account for some words being swapped with similar-sounding words or phrases. Assistant will also keep responses concise, because human attention spans are more limited over the audio channel since it takes time to listen to a response.        Human:  Thank you.    AI:  You're welcome! Is there anything else I can help you with?    Human:  I'd like to learn more about neural networks.    AI:  Sure! Neural networks are a type of artificial intelligence that use a network of interconnected nodes to process data and make decisions. They are used in a variety of applications, from image recognition to natural language processing. Neural networks are often used to solve complex problems that are too difficult for traditional algorithms.    Human:  Tell me a fun fact about neural networks.    Assistant:        > Finished chain.     Neural networks are inspired by the way the human brain works. They are composed of interconnected nodes that process data and make decisions, just like neurons in the brain. Neural networks can learn from their mistakes and improve their performance over time, just like humans do.    listening now...    Recognizing...     Tell me about a brand new discovered bird species.            > Entering new LLMChain chain...    Prompt after formatting:    Assistant is a large language model trained by OpenAI.        Assistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding