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GPT-4 vs ChatGPT: What’s the Difference? It can still struggle with intentionally misleading or ambiguous inputs. These sneaky prompts can sometimes lead to unexpected or nonsensical responses. The team even used GPT-4 to improve itself, asking it to generate inputs that led to biased, inaccurate, or offensive responses and then fixing the model so that...
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8 Real-World Examples of Natural Language Processing NLP For example, an application that allows you to scan a paper copy and turns this into a PDF document. After the text is converted, it can be used for other NLP applications like sentiment analysis and language translation. By performing sentiment analysis, companies can better understand textual...
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Appendix I: A Short History of AI One Hundred Year Study on Artificial Intelligence AI100 The lack of explanation and transparency is also problematic when mistakes are made. AI systems will on occasion fail in patient diagnosis and treatment for things such as ‘model drift’. This is where an AI system that was deployed into...
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