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AI News

artificial intelligence: Govt’s AI advisory will not apply to startups: MoS IT Rajeev Chandrasekhar

Minister of State for Electronics and Information Technology Rajeev Chandrasekhar said on Monday that the government's advisory on large language models will not apply to startups and only to "significant platforms". He was reacting to an Economic Times story published Monday on how start-ups are concerned about the government's missive to get permission before launching…
March 5, 20240Likes0Comments
Text-to-Speech

mms-tts

Edit model card Massively Multilingual Speech (MMS) : Text-to-Speech Models Table Of Contents Usage Supported Languages Model details Additional Links Massively Multilingual Speech (MMS) : Text-to-Speech Models This repository contains a collection of text-to-speech (TTS) models, offering support for over 1000 languages. These models are part of Facebook's Massively Multilingual Speech project, aiming…
March 5, 20240Likes0Comments
NLP

Absolut-E Data Com Inc.

Start up Profile Absolut-e Data Com has developed BizStats search based AI analytics platform for medium to large organisation under various industries by helping them to increase customers and increase revenue. The platform helps to keep the analysis process simple and easy for any user. In 2015, the company launched an…
March 5, 20240Likes0Comments
Machine Learning

How Well Can LLMs Negotiate? Stanford Researchers Developed ‘NegotiationArena’: A Flexible AI Framework for Evaluating and Probing the Negotiation Abilities of LLM Agents

In artificial intelligence, the capacity of Large Language Models (LLMs) to negotiate mirrors a leap toward achieving human-like interactions in digital negotiations. At the heart of this exploration is the NEGOTIATION ARENA, a pioneering framework devised by researchers from Stanford University and Bauplan. This innovative platform delves into the negotiation prowess of LLMs, offering a…
March 5, 20240Likes0Comments
Machine Learning

Is ConvNet Making a Comeback? Unraveling Their Performance on Web-Scale Datasets and Matching Vision Transformers

Researchers have challenged the prevailing belief in the field of computer vision that Vision Transformers (ViTs) outperform Convolutional Neural Networks (ConvNets) when given access to large web-scale datasets. They introduce a ConvNet architecture called NFNet, which is pre-trained on a massive dataset called JFT-4B, containing approximately 4 billion labeled images from 30,000 classes. Their aim…
March 5, 20240Likes0Comments
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