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LangChain was launched in October 2022 as an open source project by Harrison Chase, while working at machine learning startup Robust Intelligence. The project quickly garnered popularity, [3] with improvements from hundreds of contributors on GitHub, trending discussions on Twitter, lively activity on the project's Discord server, many YouTube tutorials, and meetups in San Francisco and London.
As originally proposed by Google, [16] each CoT prompt included a few Q&A examples. This made it a few-shot prompting technique. However, according to a researchers at Google and the University of Tokyo, simply appending the words "Let's think step-by-step", [ 25 ] has also proven effective, which makes CoT a zero-shot prompting technique.
Few-shot learning and one-shot learning may refer to: Few-shot learning, a form of prompt engineering in generative AI; One-shot learning (computer vision)
One-shot learning is an object categorization problem, found mostly in computer vision. Whereas most machine learning -based object categorization algorithms require training on hundreds or thousands of examples, one-shot learning aims to classify objects from one, or only a few, examples.
A suspect is in custody after a knife attack at Grand Central 42 Street subway station in New York injured two with neck and wrist slashes.
Specifically, to count as a legitimate view, a user must intentionally initiate the playback of the video and play at least 30 seconds of the video (or the entire video for shorter videos). Additionally, while replays count as views, there is a limit of 4 or 5 views per IP address during a 24-hour period, after which point, no further views ...
This article originally appeared on USA TODAY: Videos show festive outdoor Christmas decorations, lights: Watch. Show comments. Advertisement. Advertisement. Holiday Shopping Guides.
Angelina Jolie appeared on The Tonight Show Starring Jimmy Fallon to promote her movie Maria, during which the host noticed she wasn't wearing shoes. The actress explained she recently broke her ...