Scaling ChatGPT: Inside OpenAI's Rapid Growth and Technical Challenges | Evan Morikawa
Dev Interrupted
00:00
Insights on the Nature and Training of AI Models
AI models, such as GPT-3, are not omnipotent systems and have quirks in their functionality. They are trained by predicting the next word for all words and phrases on the internet, which requires a deep understanding of society, structure, context, and culture. These models can be steered based on the context given to them and can be prompted with few examples to guide their output. The prompt engineering for these models is somewhat of a black box, but specific instructions and guidance can significantly influence their performance on certain tasks.
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