Computer Science · Artificial Intelligence
Which of the following is the main conclusion regarding the current state of Large Language Model (LLM) development and deployment?
- 1LLMs are incapable of adapting to specific tasks after pretraining.
- 2Human oversight is no longer required in the training of LLMs.
- 3The combination of supervised and reinforcement learning has made LLMs both more useful and less likely to produce dangerous content.✓
- 4LLMs are only trained once and then immediately deployed.
Correct answer
The combination of supervised and reinforcement learning has made LLMs both more useful and less likely to produce dangerous content.
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