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Are you interested in Artificial intelligence? Is your interest area Machine Learning and Data Science?
Then this session is must for you to grow your skills on how you can use Language Comprehension Machine Learning models with UiPath.
Question answering model take your paragraph as input and answer any question you ask based on that paragraph.
Text summarization model is a model, on inputs with less than 300 characters, the model will just return the unaltered input. The output summarization length is around 25-35% of the input size but may vary beyond these bounds. The model is abstractive (uses Natural Language Generation to create sentences that may not be present in the input).
We will not only look at how to use them but also, we will build BOT and talk about possible use cases of each model.
See you in session!
Don't forget to watch our first episode of the series if you have missed.
Episode 1: https://communityevents.uipath.com/e/mpe6pd/
Episode 2: https://communityevents.uipath.com/e/mr4vuz/
Episode 3: https://communityevents.uipath.com/e/m5vukx/
Don't forget to register for upcoming episodes in series:
Episode 5: https://communityevents.uipath.com/e/mb7krs/
Episode 6: https://communityevents.uipath.com/e/m466a5/
Senior Consultant WonderBotz
UiPath MVP 2021 UiPath | 2020.10 Product Release Global Hackathon - AI Category First Rank Winner | UiPath DevCon 2020 Global Hackathon - 2nd Rank Winner | UiPath Community Contributor Award Winner - For AI Fabric Product | YouTuber and RPA Influencer - https://www.youtube.com/channel/UCX7FdmCv9UOKdlyjfGydV3w