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SAN FRANCISCO, Feb. 3, 2021 /PRNewswire/
Kite, a leading AI-powered coding assistant that helps programmers code faster with Multi-Line Completions, today announced the availability of Kite Team Server. Kite Team Server is the industry s first enterprise-ready self-hosted Machine Learning (ML) engine for four token autocomplete technology. Today s product release builds on the existing UI of Kite Free, which 400,000 developers use to code 18% faster each month.
Kite Team Server uses the latest developments in machine learning to “custom-train” ML models, providing personalized code completions based on each company’s codebase. As a startup that is growing its team of developers, it is paramount that we maximize efficiency when it comes to code completion, said Aasim Sani, Co-Founder and COO at Orai. Once our engineering team started using Kite we became much more productive and our time to market on product development has increased tremendously.
Alert! Gmail Changes Rules: You May Lose Your Google Drive Data And Photos, Find Out More Jan 28, 2021, 13:35 IST
Gmail users will need to accept certain terms and conditions in order to continue using important features. Google has issued a warning to the Gmail users that if they do not accept these new rules, they will lose access to certain features.
According to the message, if the person has not accepted the update terms, Gmail will block some of the key features like Smart Compose, Assistant reminders and Automatic email filtering, from your inbox. These terms and conditions have come with the latest update.
GMAIL users must accept new terms and conditions from Google today in order to continue using key features within the popular email app. The new terms need to be accepted by January 25, or fans face losing access to a number of the best features included in Gmail.
Biased language models can result from internet training data
The controversy around AI researcher Timnit Gebru’s exit from Google, and what biased language models may mean for the search industry.
George Nguyen on December 29, 2020 at 8:00 am
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Last year, Google announced BERT, calling it the largest change to its search system in nearly five years, and now, it powers almost every English-based query. However, language models like BERT are trained on large datasets, and there are potential risks associated with developing language models this way.
AI researcher Timnit Gebru’s departure from Google is tied to these issues, as well as concerns over how biased language models may affect search for both marketers and users.