Kakao Brain, part of Korean technology company Kakao Group, has built a large-scale AI language model that is the largest Korean language-specific LLM in the market, with 66 billion parameters. They’ve also developed a text-to-image generator called Karlo.

Tokopedia, an Indonesian ecommerce leader, is using Vertex AI to improve data quality, increasing unique products being sold by 5%.

Samsung is deploying Gemini Pro and Imagen 2 to their Galaxy S24 smartphones so users can take advantage of features like text summarization, organization, and magical image editing.

Melooha developed a hyper-personalized Vedic astrological engine using Meta's Llama 3 70B model. The model enhances the accuracy and depth of astrological insights by blending ancient wisdom with modern AI, allowing for profound exploration of astrological complexities and delivering credible, personalized predictions.

Healthify, India’s largest health platform, uses OpenAI's GPT-4 Vision and Whisper to improve food tracking and health coaching. The integration has increased food tracking by 50% and doubled user engagement with nutrition coaching. Healthify plans to expand to 20 countries and save millions of lives by improving fitness and reversing metabolic diseases globally.

Elyza, a Japanese AI startup, uses Meta Llama 2 to develop a Japanese large language model designed for advanced natural language processing applications, including language translation, chatbots, and text generation, thereby enhancing AI-driven communication and language services in Japan.

McDonald's China established an AI Lab with Microsoft, using Azure AI tools and GitHub Copilot to enhance employee training at Hamburger University. AI assistants provide document translation, optimized search, and personalized learning, improving training efficiency.

Air India integrates Microsoft Copilot for Microsoft 365, including a custom plugin for Microsoft Teams, to streamline operational data analysis and decision-making. This allows teams to quickly analyze flight performance, delays, and other key metrics through natural language queries. The solution enhances collaboration across departments, boosting efficiency, reducing operational costs, and improving the employee experience.

KissanAI has released Dhenu Llama 3, a multilingual AI agriculture assistant tailored for Indian farmers. Built on Meta’s Llama 3 8B architecture, Dhenu understands voice and text inputs and is integrated with platforms like WhatsApp, supporting 22 languages including 9 Indian languages. This assists farmers in accessing agricultural advice and information, enhancing farming practices through advanced AI capabilities.

Taiwan LLM is a pioneering large language model focused on Traditional Chinese used in Taiwan. Built on Meta Llama 2, it incorporates cultural context and advanced pre-training on comprehensive datasets, enabling it to understand linguistic nuances and cultural references, thus revolutionizing Traditional Chinese language processing in NLP applications.

Odia Generative AI is an open-source project aimed at expanding LLM capabilities for the Odia language, spoken by 40 million in India. Using Meta Llama 2, OdiaGenAI has developed the Odia Llama, a fine-tuned LLM for Odia, and is exploring applications like AI chatbots and AI tutors, thereby enhancing accessibility and digital inclusion for Odia speakers.

Cognizant uses Microsoft Azure Machine Learning to enhance its performance management system GoPerform by integrating AI to improve manager feedback, ensuring employees receive meaningful, actionable feedback.

Digital Green uses OpenAI's GPT-4 to develop Farmer.Chat, a generative AI chatbot that supports agricultural extension services in countries like India and Kenya. It provides farmers with tailored advice by integrating Digital Green's vast library of agricultural knowledge, including training videos and research factsheets. By enhancing extension agents' ability to assist farmers, Farmer.Chat reduces the cost of traditional services and improves access to localized farming expertise.

Pratham developed 'BaalSakhi', a chatbot powered by Meta's Llama 2 (70B), integrating via WhatsApp to provide personalized, on-demand support for early childhood care and education to parents and caregivers in resource-poor settings. BaalSakhi draws insights from trusted sources like government departments, UNICEF, WHO, and childcare experts, helping users navigate their child's early development journey independently.