How long you can remain in conversation with an AI model before the chat runs out of parameters depends on the architecture for AI models and which version of a natural language platform you are using. For example, OpenAI’s GPT-4 dialogue model has 4096 tokens in a single conversation — meaning the interaction can last longer. Given that one token is often a single word or piece of a word, you could use hundreds of words in a conversation before you reach the limit Or in practical terms, it allows you to talk to ai GPT-4 through several minutes of back-and-forth conversation without breaking. But when the conversation passes the token boundary, it forgets some parts of its responses: it loses context from earlier parts of the discussion and, as a result, continuity or correctness suffers.
On platforms like GPT-3. Users can engage for minutes at a time, and the AI responds in seconds (usually). However during longer sessions it has to be reset every now and again just to ensure it is doing what we expect. As an illustration, organizations using AI for customer support observe that when communicating with users, an AI chatbot can directly interact for a period of 15 to 20 minutes in resolving the problem before human assistance is required. According to a study released by IBM in 2022, AI is effective up to 70% of customer interaction before humans are required for help.
Although having a conversation without interruption is impressive from the AI and everything, do keep in mind that not all platforms work this way; for example, session timeouts might be a thing with web applications. Most online services will also only keep you logged in for a certain window, like 30 minutes to an hour. But as AI systems grow, that issue is only going to be a problem for so long.
The length of interaction without breakdown in professional use cases, like virtual assistants or AI-driven customer service, will be different. However, Siri and Alexa deals well with continuous commands but we need to restart it in every moment for maintenance/update. However, applications of AI like chatbots can keep a conversation going for a longer duration. Over the past two years, as intelligent systems have drastically improved their ability to tackle more intricate inquiries, AI-driven chatbots now require approximately 35% longer to resolve a single conversation.
Unlike people, AI will never get bored of engaging with you, but depending on the platform used for deployment, interactions may be limited by token counts and session timeouts. This will ensure that AI stays on track with the conversation, but if you are working on something and need continuous input while using AI, always record how long sessions run and take breaks as it can disrupt its performance.