Asif Razzaq’s Post

🌐 Breaking Down Global Language Barriers with AI In my experience, nearly all business issues stem from communication breakdowns. Take, for instance: • A manager not clearly articulating expectations to a direct report. • Confusion when communicating credit card expenses to the Payables team. • The absence of open-air channels for discussing major operational concerns with management. Communication will always be a challenge, but Artificial Intelligence (AI) tools (particularly in Machine Translation and Natural Language Processing), are becoming readily available to improve communication efficacy. What are the implications on a global scale, however?  We’re in an increasingly interconnected world, where businesses transcend geographical boundaries and individuals communicate across cultures - even within the same team. Language barriers still pose significant challenges today, so what can we expect to see next? I expect we’ll see the world continue to “shrink” rapidly over the next 10 years. Our regular work contributions will lean asynchronous and digital, our feedback loops will be shortened. Language barriers won’t matter nearly as much in this model. Imagine this workflow: • I start a task using the multilingual project management software. • After completing the task, I submit my work product to my boss in Ukraine. • My submission is immediately translated by an automated service. • My boss's custom-trained GPT then checks the quality of my work and summarizes it to make sure it meets her expectations. • My boss reviews the work, adds comments in Ukrainian, which are instantly translated into English for me. Although we can't directly communicate over Zoom due to language barriers, we work seamlessly within this system. AI's impact goes beyond mere translation. As of today, companies like Welocalize are at the forefront of using AI to break down global language barriers. By leveraging AI, they create comprehensive multilingual datasets to enhance customer support, user experiences, and enable businesses to engage with a global audience in their languages. These datasets are used to improve conversational AI's ability to understand and communicate in multiple languages. Looking ahead once again, AI promises even more innovations in global translation. From real-time multilingual communication platforms to personalized translation solutions, the future is bright. As AI continues to evolve, language barriers will fade, paving the way for deeper connections and collaborations in our interconnected world. How do you envision AI transforming your ability to communicate and work across cultural and linguistic boundaries in the future?

Two AI Releases SUTRA: A Multilingual AI Model Improving Language Processing in Over 30 Languages for South Asian Markets https://lnkd.in/deRCtnfB Introducing SUTRA: A Game-Changing Multilingual AI Model Revolutionizing Multilingual Communication Innovative startup Two AI has unveiled SUTRA, a cutting-edge language model proficient in over 30 languages, including underserved South Asian languages like Gujarati, Marathi, Tamil, and Telugu. SUTRA is strategically designed to address the unique linguistic challenges and opportunities in Southern Asia, reshaping multilingual models in the region. Powerful Architecture and Integration SUTRA’s architecture leverages two mixture-of-experts transformers: a concept model and an encoder-decoder for translation. The model’s integration involves the translation model’s encoder generating an initial embedding from the input text, which the concept model processes and feeds into the translation model’s decoder to produce the final output. This innovative approach ensures SUTRA’s effectiveness in handling a diverse range of languages, making it a robust tool for multilingual communication. Value and Accessibility SUTRA is available in three versions—Pro, Light, and Online—offering high performance, low-latency, and internet connectivity at competitive pricing, making it an attractive option for users and businesses in cost-sensitive markets. Superior Performance and Potential SUTRA outperforms GPT-4 in critical languages in the South Asian context, demonstrating its strength and efficiency. However, there is room for further validation and improvement across a broader range of languages to fully unlock its multilingual potential. Strategic Focus and Market Penetration With a strategic focus on non-English-speaking markets and significant seed funding from key investors, Two AI is well-positioned to cater to regions where English is not the predominant language. SUTRA’s potential to provide high-quality, cost-effective multilingual support could bridge the gap for users in rural and underserved areas, bringing them closer to the benefits of cutting-edge AI technology. Embrace the Power of AI Explore the transformative potential of AI with SUTRA and unlock new possibilities for your business. Connect with us for tailored AI solutions and expert guidance on leveraging AI to redefine your operations and customer engagement. List of Useful Links: AI Lab in Telegram @itinai – free consultation Twitter – @itinaicom #SUTRA #MultilingualAI #LanguageModel #AIinnovation #TwoAI#artificialintelligence #ai #machinelearning #technology #datascience #python #deeplearning #programming #tech #robotics #innovation #bigdata #coding #iot #computerscience #data #dataanalytics #business #engineering #robot #datascientist #art #software #automation #analytics #ml...

Exercise caution when using Generative AI Translation technology. #AItranslationCaution 🤝 Follow us on Discord 🔜: https://lnkd.in/gt823Zd3 🤝 Follow us on Whatsapp 🔜 https://wapia.in/wabeta _ ❇️ Summary: Heather Shoemaker, founder of Language I/O, discusses the complexities and solutions of achieving seamless multilingual communication. The global language translation software market is booming, but generative AI translation models remain under development and are known for unreliability. Generative AI tools are also facing ethical and security concerns, and have limitations in language capabilities. To achieve the best real-time communications, organizations should invest in contextualizing technology, such as that provided by Language I/O, to ensure accurate and reliable translations. Hashtags: #chatGPT #AItranslation #proceedwithcaution

Introducing the Multilingual E5 text embedding models: small, base, large, and an instruction-tuned variant. These models strike a perfect balance between efficiency and quality. Best of all, these models are open-sourced: ▪️ Why it matters: Text embeddings are crucial for retrieval systems, yet most models focus on English, limiting global applicability. Our multilingual E5 models break these barriers, offering broad language support and competitive performance. ▪️ Training deep dive: The E5 models underwent contrastive pre-training on 1 billion text pairs, followed by fine-tuning on diverse, high-quality labeled datasets. This meticulous process ensures robust, versatile embeddings. ▪️ Introducing mE5-large-instruct: This model uses synthetic data and natural language instructions to enhance embedding quality, aligning closely with state-of-the-art English models in performance. ▪️ Benchmark achievements: On the MTEB English benchmark, our best model outshines previous multilingual and some English-only models, showcasing its formidable capabilities across languages. ▪️ Multilingual prowess: Evaluated on the MIRACL benchmark across 16 languages, mE5 models significantly outperform existing solutions in multilingual retrieval, proving their effectiveness in diverse linguistic contexts. ▪️ Bitext mining excellence: mE5 models excel in cross-lingual similarity search, with the instruction-tuned variant surpassing specialized models. This showcases their utility in connecting languages with minimal overlap. ▪️ The multilingual E5 text embedding models represent a significant step forward in AI, enabling more inclusive, efficient, and effective multilingual text processing. We encourage practitioners to explore these models for various applications. For full details read the paper: https://lnkd.in/ef6yR6Qm Access the models: https://lnkd.in/etyeh4-y

Are you worried about the responsible use of AI? Ever felt that non-English languages are underrepresented? "The benefits of the technology are huge, and so are the risks of potential misuse," says our CEO Agustina Di Pratula (She/Her) in this compelling article. 🌍✨ The human use of AI presents new challenges in effective and responsible communication, discourse legitimation, protecting vulnerable groups, and preventing violent speech. In this article, Agustina explores the future for linguists in the era of generative technologies. 💪 Linguists of the world, do not fear! There is still a lot of new work to be done, and you have a key role to play. Make it count! Read the full article here: https://lnkd.in/gNnAEf4Q #AI #UshuaiaSolutions #Localization #ResponsibleAI #GlobalCommunication #Innovation Globalization and Localization Association (GALA)

🌟 Breaking News: AI Innovation Unveils Groundbreaking Prospect in the Tech Industry! 🌟 Exciting advancements in Artificial Intelligence (AI) technology are revolutionizing the way we live and work. A recent development has taken the industry by storm, igniting a wave of excitement and anticipation. Let's delve into the details of this game-changing breakthrough that promises to maintain relevance and shape the future of AI. 🔎 Introducing Claude 3 - The New Champion Beating Google Translate 🔎 🚀 Key Aspects: - Claude 3, a new AI-powered innovation, has emerged as a formidable contender surpassing Google Translate in accuracy and performance. - This significant achievement showcases the remarkable strides being made in AI language processing, presenting a glimpse into the potential future of multilingual communication. 💡 Implications & Impact on the Tech Industry: - Enhanced Accuracy: Claude 3's superior accuracy holds tremendous promise for industries relying on translation services, including global businesses, content creators, and language enthusiasts. - Increased Efficiency: The seamless integration of Claude 3 opens doors to a more efficient and streamlined translation experience, saving time and resources. - Competitive Edge: This breakthrough fosters healthy competition among AI developers, inspiring further advancements and raising the bar for future innovations. 🌐 Potential Applications: - Global Communication: The enhanced accuracy and reliability of Claude 3 could foster smoother international collaboration, eliminating language barriers and facilitating seamless communication across borders. - Content Localization: Media houses and e-commerce platforms can leverage Claude 3 to effortlessly localize content, enabling effective engagement with diverse audiences worldwide. - Language Learning: The improved translation capabilities can empower language learners with more accurate interpretations and practical usage examples, fostering linguistic proficiency. 🔍 Stay Ahead of Tech Trends - Embrace AI Innovation! 🔍 The rapid evolution of AI continues to reshape industries and drive innovation across various sectors. Embracing these advancements is crucial for professionals and businesses to stay ahead of the curve. Be prepared to witness exciting developments like Claude 3 that fuel the transformative power of AI. Let's continue to explore the limitless possibilities of AI and its potential to shape our future! Don't miss out on the latest tech news, follow me for more updates. #TechNews #ArtificialIntelligence #Innovation [Footer: gjam.in] https://gjam.in

A chatbot on the site in 10 languages and just a few hours? It is possible. Our no-code AI chatbot platform Umni has added 19 more European languages to its service and a new conversational AI module upgrade, continuing to deliver on its promise to businesses to democratize the use of AI and make it accessible to everyone - technically and financially. This was the topic of the talk published yesterday in BGTourism news, read the entire article in the link in the first comment. "Many businesses have asked us in recent months if the chatbots on our platform support Balkan languages - Romanian, Macedonian, Greek, Turkish, Serbian... We have solved the language issue cardinally by adding all the missing European (and Balkan) languages plus Chinese," says Elitza Stoilova, the platform's manager. "With automatic AI content translation, any business can now quickly and easily - literally in hours - create a chatbot in up to 10 languages of their choice from a total of 29 languages, even Maltese, Albanian, Croatian, or any other language on our continent that we don't even think of as an AI language," she adds. As a result of this platform acquisition, the AI chatbot can quickly and easily upgrade the site with additional languages that the site does not support to assist any hotel or other travel business customers this summer. The good news is that the monthly fee for the chatbot is not affected by the number of languages. In addition, the platform is currently running a special summer offer that includes making the AI chatbot basics by the Umni team.

So it's about my experience on M2M100 multilingual model on hugging face. https://lnkd.in/g5MB28rs Hugging Face is a leading organization in natural language processing, offering tools and models like the M2M100 for multilingual machine translation. Developed by Facebook AI, the M2M100 model can translate directly between 100 languages without relying on English as a pivot. Its workflow includes pre-training on a multilingual corpus, fine-tuning, tokenization, encoding, decoding, and post-processing. To use M2M100, one loads the model and tokenizer, prepares and tokenizes the input text, generates the translation, and decodes the output. During fine-tuning, significant challenges were managing the large computational resources required, handling extensive datasets, and ensuring the model generalizes well across diverse language pairs. Despite its strengths, M2M100 has drawbacks: it is resource-intensive, shows performance variability across languages, may not always provide high-quality translations, can miss cultural nuances, and requires regular updates. Additionally, fine-tuning can be particularly challenging due to the need for substantial computational power, handling overfitting, and maintaining balanced performance across high and low-resource languages. Nevertheless, it is a powerful tool for global communication and content localization.

I like charts like these. I track similar ones for custom finetunes.