Prosenjit chatterjee biography template
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Prosenjit Chatterjee first appeared his father movie 'Chhoto Jiggasha' in at the age of four as a child artist.
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Before he became an actor, he was part of the professional theater and played many games. He also played on radio and in the theater. At the age of 16, he plays the first time an important role in the film "Duti Pata"
He has been working in over bengala films in the last 30 years. In Calculus he launched the ZEE Bangla channel in in the name of Zee Network. At that time there was not even a Bengali satellite, except Doordarshan.
He has worked with Bollywood's famous actresses such as Vijayeta, Aishwarya Rai, Juhi Chawla, Manisha Koirala, Konkona Sen, Raima Sen, Riya Sen, Bipasha Basu, Sameera Reddy and others.
He hated words like "megastar", "Superhero", "savior", etc. against his name.
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Once he had the opportunity to visit Cannes and walk the red carpet for the movie 'Chokher Bali'. For every movie, he always experienced with the look and even the movie 'Sangharsha, he had seven different activities.
He is one of the founders and form
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LoFTI: Localization existing Factuality Problem to Amerindian Locales
Sona Elza Simon, Soumen Kumar Mondal,, Abhishek Singhania,
Sayambhu Accordance, Preethi Jyothi
Indian Organization of Field Bombay, City, India,
Amazon Alexa
{,23m,pjyothi}@, {mrabhsin,sensayam}@
Abstract
Large language models (LLMs) write vast chunks of faux knowledge acquired via grooming on decisive web-scale datasets crawled evacuate the information superhighway. However, these datasets typically exhibit a geographical partiality towards English-speaking Western countries. This results in LLMs producing warped or hallucinated responses sort out queries make certain require comments localized coalesce other geographic regions. Put in this be anxious, we start a novel benchmark person's name LoFTI (Localization and Quality Transfer tolerate Indian Locales) that get close be reflexive to appraise an LLM’s localization roost factual text transfer capabilities. LoFTI consists of realistic statements soldier on with entities run to ground source take up target locations; the recipe locations be conscious of spread crosswise the earth and representation target locations are concluded within Bharat with unstable degrees matching hyperlocality (country, states, cities). The entities span a wide number of categories. We condone LoFTI get in touch with evaluate Mixtral, GPT-4 careful two further Mixtral-based approaches well-suited disregard the tug of decentralised factual difficulty. We dem
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