AI chatbots, like ChatGPT, are integral to many users’ lives, yet their workings remain puzzling. Here are five key insights for better utilization:
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Training with Human Feedback: AI chatbots are trained in stages, starting with pre-training using vast datasets. Human annotators guide their responses for safety and helpfulness, crucial for avoiding misinformation.
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Token-Based Learning: Unlike humans, these chatbots learn language through tokens—smaller units than words, leading to unique interpretations and varied vocabularies.
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Knowledge Cut-off: AI chatbots have a knowledge cut-off, with the current ChatGPT updated until June 2024. They don’t self-update and may require web searches for current events.
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Hallucination Risks: Chatbots can generate false information confidently, optimizing for coherence rather than accuracy. Users must critically assess AI-generated claims.
- Mathematical Reasoning: With "chain of thought" reasoning, ChatGPT can solve complex math problems step-by-step using its built-in calculator, enhancing accuracy.
Understanding these aspects is essential for effectively leveraging AI chatbots.
