Prompt engineering is critical for eliciting useful responses from large language models like ChatGPT. Using clear instructions, providing context, and asking follow-up questions help improve the AI responses.
In reinforcement learning, AI systems learn by interacting with their environment and receiving feedback in the form of rewards or penalties. The AI system aims to maximise the cumulative reward over time by choosing the optimal sequence of actions.
As the Azerbaijan Formula One race approaches, it's clear that AI has become an integral part of the sport. By harnessing the power of data, AI is transforming racing, helping teams optimise performance, develop winning strategies, and ensure driver safety.
Natural Language Processing (NLP) is a subfield of AI that focuses on understanding and generating human language. It encompasses tasks like text analysis, machine translation, and sentiment analysis, transforming how we interact with technology and opening up new possibilities.