The introduction of large language models like ChatGPT, Claude 2, and Llama 2 that can answer questions and generate text points to exciting possibilities in the future. Slowly, but surely, LLMs are moving closer to human-like performance. The immediate success of these LLMs demonstrates a keen interest in robotic-type LLMs that emulate and, in some contexts, outperform the human brain. Here are some thoughts on the future of LLMs,
Increased capabilities
As impressive as they are, the current level of technology is not perfect and LLMs are not infallible. However, newer releases will have improved accuracy and enhanced capabilities as developers learn how to improve their performance while reducing bias and eliminating incorrect answers.
Audiovisual training
While developers train most LLMs using text, some have started training models using video and audio input. This form of training should lead to faster model development and open up new possibilities in terms of using LLMs for autonomous vehicles.
Workplace transformation
LLMs are a disruptive factor that will change the workplace. LLMs will likely reduce monotonous and repetitive tasks in the same way that robots did for repetitive manufacturing tasks. Possibilities include repetitive clerical tasks, customer service chatbots, and simple automated copywriting.
Conversational AI
LLMs will undoubtedly improve the performance of automated virtual assistants like Alexa, Google Assistant, and Siri. They will be better able to interpret user intent and respond to sophisticated commands.