This is the quintessential biased test set. Instead of picking a random set, you pick one that control model has good performance on then you measure efficacy of the experiment group. In other words you are setting experiment model up for failure.
This is the quintessential biased test set. Instead of picking a random set, you pick one that control model has good performance on then you measure efficacy of the experiment group. In other words you are setting experiment model up for failure.
Most interestingly, they are not ahead of other competitors in terms of safety either. OpenAI literally has all the safety checks that they have. Anthropic has just the knobs turned up more.
Most interestingly, they are not ahead of other competitors in terms of safety either. OpenAI literally has all the safety checks that they have. Anthropic has just the knobs turned up more.
Google search in AI mode is fantastic. It has a lot of historical context that takes years to build up in openai's chatgpt. For example, when I search for "best restaurants in my city" it knows my favorite cuisines etc...
Is it too much to ask applications to allow SQL queries as a filter option for tech bros?
Imagine being able to write your own SQL query for the product you are looking for on Amazon instead of the crappy checkboxes and sliders.
It's really unfortunate that when searching for restaurants in Google Maps' cuisine filter doesn't allow choosing multiple options. You can do one at a time.
One should waste as little effort as possible on improving areas of low competence. It takes far more energy and work to improve from incompetence to mediocrity than it takes to improve from first-rate performance to excellence.
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