Sreekanth Madisetty, PhD’s Post

India’s First Text-to-Image Model for Multilingual Content As research has indicated that publicly available text-to-image models often underperform for non-English languages due to limited diverse language data. Studies have pointed out this challenge post the release of such models (https://lnkd.in/gGuaSUW6 - 2022). Enter Kalaido.ai, a pioneering text-to-image diffusion model by home-grown AI unicorn Fractal. Kalaido not only excels in generating high-quality images from text prompts in English but also supports 17 Indian languages, including Hindi, Kannada, Tamil, Telugu, and Sanskrit. Internal trials have showcased Kalaido's impressive 40% higher efficiency in producing detailed images compared to global competitors. Explore this model at https://kalaido.ai/create and witness the fusion of language and imagery firsthand. #TextToImage #AI #Multilingual #Technology #Research

A ‘Shocking’ Amount of the Web Is Already AI-Translated Trash, Scientists Determine https://lnkd.in/d8rNMjcS #language #languages #ai #mt #xl8 #translation

With the rise of Large Language Models and Natural Language Processing, Paul Azunre and his team at Algorine built a chatbot like app which translate languages in different dialects in Ghana. Eg. Twi to Ewe , Fante to Ewe , English to Dagomba , English to twi, etc Download to support his Mission of removing language barriers and a platform to learn new languages from scratch. Link: https://lnkd.in/gVBp4bJh #LLM #Machinelearning #KhayaApp #Africa #ghana #aistartup ...

Really impressed to see what's happening in Sarvam_ai. - Building open models [1] (OpenHathi on HuggingFace) on existing open-source LLMs (Llama, Mistral) to tackle Indian language use-cases - systematically improving accuracy on tokenization, translation, and conversation - via fine-tuning using Indian language Datasets compiled by AI4Bharat [2]. - V focussed and cost-effective way of quickly enabling use-cases and workflows already either in English or in the developed world, for Indian heartland. [1] https://lnkd.in/gbaFMD6w [2] https://lnkd.in/g8Ymu8Nv

Today we are releasing into Creative Commons the datasets for three new languages which will unlock the benefits of AI to their speakers. Our company has developed a method for guaranteeing complete coverage of a conceptual space based on the linguistic characteristics of individual languages which reduces the amount of data required to train AI models. After selecting the target domain, we generate ideal sentences based on our algorithm using LLMs and then get those sentences translated by native speakers. In 6 weeks, we collected 8,000 sentences in each language from native speakers (through our data collection app), creating the ideal datasets for fine-tuning a machine translation model or LLM. The machine translation models reached google translate level quality in a specific domain. The contributors gave consent, were hired by a local agency, were paid a fair wage, and will now reap the benefits of AI in their local language. We are collecting similar datasets for 3 more languages right now, with 8 more scheduled in the next 2 months. If you are interested in creating ideal datasets for new languages, reach out to us at contact@xriglobal.ai https://lnkd.in/eKMPGWqq https://lnkd.in/e_crhDRN https://lnkd.in/eUvPvQtK

The slippery slope of AI and content. As AI trains on web content, it ingests vast amount of AI generated content, which makes the data untrusted and full of hallucinations. Additionally, AI translations in other languages of this content should be considered trash. #ai #data #web #tech https://lnkd.in/d_2ZSc44

Last week at AACL-IJCNLP 2023, Jay Gala, Pranjal Chitale and I delivered a tutorial on "Massively Multilingual Machine Translation for Related Languages". If you are interested in this but could not attend, we are making everything available: https://lnkd.in/djf46rQa The GitHub repo contains our slides, recorded talk and all the papers we referred to to prepare the tutorial slides. We are happy to present this tutorial again upon request so please feel free to reach out to us. We hope that this helps motivate further research into language relatedness for massively multilingual machine translation. A big thanks to Prof Kurohashi for motivating us to submit a tutorial application. Also special thanks to Varun Gumma for their feedback. This tutorial is a part of the series of tutorials on: a. NMT (https://lnkd.in/dnTbgMPW) and b. Multilingual Machine Translation (https://lnkd.in/d6tepmwu) Feel free to take a look and reach out if you have any questions.

Unveiling the Web's Tower of Babel: Machine Translation's Impact on Low-Resource Languages #AI #AItechnology #artificialintelligence #llm #lowresourcelanguages #machinelearning #MachineTranslationsystems #MultiWayccMatrix #realm #Trainingdata #webscraping

OLA’s CEO Bhavish Aggarwal introduced India’s first start-up unicorn, 𝐊𝐫𝐮𝐭𝐫𝐢𝐦 𝐀𝐈!  It’s larger than GPT-4 in terms of Indic language support. Krutrim AI can understand 22 languages and generates results in 10 languages. It provides the facility to select any one out of 2 languages for conversation. Some of the extraordinary features of Krutrim AI: ✨ Multilingual Email Writer Easily write emails in 20 Indian languages. ✨ Tourist Guide Provide a plan with timings to all the places you can travel. ✨ Creative Content and Entertainment Put your own spin on poems, stories, songs, jokes, or memes. ✨ Recipe Supplier Provide any recipe from the main dish of cuisine to the dessert. ✨ Language Translator Translate the content in various Indian languages and many others. Krutim AI is a Large Language Model used for daily communication and provides results similar to humans. Use the free version of Krutrim AI 👉 https://olakrutrim.com/ Learn more about Krutrim AI through Toolplate 👉 https://lnkd.in/ggd9Qexi #KrutrimAI #OlaAI #AIforGood