Researchers find large language models use a simple mechanism to retrieve stored knowledge when they respond to a user prompt. These mechanisms can be leveraged to see what the model knows about different subjects and possibly to correct false information it has stored.
MIT engineers aim to give robots a bit of common sense when faced with situations that push them off their trained path, so they can self-correct after missteps and carry on with their chores. The team’s method connects robot motion data with the common sense knowledge of large language models, or LLMs.
There are countless reasons why home robots have found little success post-Roomba. Pricing, practicality, form factor and mapping have all contributed to
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Imagine yourself glancing at a busy street for a few moments, then trying to sketch the scene you saw from memory. Most people could draw the rough positions of the major objects like cars, people,