If you’ve watched cartoons like Tom and Jerry, you’ll recognize a common theme: An elusive target avoids his formidable adversary. This game of “cat-and-mouse” — whether literal or otherwise — involves…
Category: AI
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New training approach could help AI agents perform better in uncertain conditions | MIT News
A home robot trained to perform household tasks in a factory may fail to effectively scrub the sink or take out the trash when deployed in a user’s kitchen, since this new environment differs from its training space.
To…
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Expanding robot perception | MIT News
Robots have come a long way since the Roomba. Today, drones are starting to deliver door to door, self-driving cars are navigating some roads, robo-dogs are aiding first responders, and still more bots are doing backflips…
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A platform to expedite clean energy projects | MIT News
Businesses and developers often face a steep learning curve when installing clean energy technologies, such as solar installations and EV chargers. To get a fair deal, they need to navigate a complex bidding process that…
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Virtual Personas for Language Models via an Anthology of Backstories – The Berkeley Artificial Intelligence Research Blog
Sample language model responses to different varieties of English and native speaker reactions.ChatGPT does amazingly well at communicating with people in English. But whose English?
Only 15% of ChatGPT users are from…
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A Case Study with the StrongREJECT Benchmark – The Berkeley Artificial Intelligence Research Blog
When we began studying jailbreak evaluations, we found a fascinating paper claiming that you could jailbreak frontier LLMs simply by translating forbidden prompts into obscure languages. Excited by this result, we attempted to…
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The Visual Haystacks Benchmark! – The Berkeley Artificial Intelligence Research Blog
Humans excel at processing vast arrays of visual information, a skill that is crucial for achieving artificial general intelligence (AGI). Over the decades, AI researchers have developed Visual Question Answering (VQA) systems…
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Function Calling at the Edge – The Berkeley Artificial Intelligence Research Blog
The ability of LLMs to execute commands through plain language (e.g. English) has enabled agentic systems that can complete a user query by orchestrating the right set of tools (e.g. ToolFormer, Gorilla). This, along with…
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Modeling Extremely Large Images with xT – The Berkeley Artificial Intelligence Research Blog
As computer vision researchers, we believe that every pixel can tell a story. However, there seems to be a writer’s block settling into the field when it comes to dealing with large images. Large images are no longer…
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