​ At the ISC23 keynote, Intel announced Aurora genAI – a science-focused generative AI model with a trillion parameters, almost six times more than in the free and public versions of ChatGPT. This news has sparked conversations about all the possibilities this model can unlock.… Read More »Intel Unveils Aurora genAI: A Trillion-Parameter AI Model to Revolutionize Scientific Breakthroughs and Predict the Unseen Anant shahi Artificial Intelligence Category – MarkTechPost

​ The advent of chatbots driven by artificial intelligence has significantly impacted how humans communicate with one another, acquire new knowledge, and carry out repetitive tasks. Telegram, one of the most popular messaging systems, has embraced this trend by providing a home for numerous innovative… Read More »Best Telegram AI Chatbots in 2023 Prathamesh Ingle Artificial Intelligence Category – MarkTechPost

​ Since the advent of large-scale image-text pairings and sophisticated generative model topologies like diffusion models, generative models have made tremendous progress in producing high-fidelity 2D pictures. These models eliminate manual involvement by allowing users to create realistic visuals from text cues. Due to the… Read More »Meet StyleAvatar3D: A New AI Method for Generating Stylized 3D Avatars Using Image-Text Diffusion Models and a GAN-based 3D Generation Network Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​Posted by Arsha Nagrani and Paul Hongsuck Seo, Research Scientists, Google Research Automatic speech recognition (ASR) is a well-established technology that is widely adopted for various applications such as conference calls, streamed video transcription and voice commands. While the challenges for this technology are centered… Read More »AVFormer: Injecting vision into frozen speech models for zero-shot AV-ASR Google AI Google AI Blog

​ Datasets are often drawn from various domains while training language models (LMs). For instance, a sizable publicly accessible dataset called The Pile has 24% online data, 9% Wikipedia, 4% GitHub, etc. The makeup of the pretraining data significantly impacts how well an LM performs.… Read More »Stanford and Google Researchers Propose DoReMi: An AI Algorithm Reweighting Data Domains for Training Language Models Aneesh Tickoo Artificial Intelligence Category – MarkTechPost

​ LLaMaTab – An Insightful Chrome Extension A Chrome add-on called LLaMaTab New Tab will display a different image of a llama every time a new tab starts. It’s a silly add-on, but it can keep one going when things become tough. LLaMaTab New Tab… Read More »Meet LLaMaTab: An Open-Source Chrome Extension that Runs an LLM Entirely in the Browser Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Researchers from MIT and IBM Research have developed a tool called saliency cards to assist users in selecting the most appropriate saliency method for their specific machine-learning tasks. Saliency methods are techniques used to explain the behavior of complex machine learning models, helping users… Read More »MIT Researchers Introduce Saliency Cards: An AI Framework to Characterize and Compare Saliency Methods Niharika Singh Artificial Intelligence Category – MarkTechPost

​ Defending against deepfakes involves work on both detection and generating approaches. People that need to fortify their pipeline with additional functionality without creating complex boilerplate code can take advantage of its loose coupling nature. However, existing deepfake algorithms need better performance and a clearer… Read More »Meet DeepFaceLab: A Real-time Face Swap for PC streaming or Video Calls Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Large Language Models (LLMs), the deep learning-based highly efficient models, are the current trend in the Artificial Intelligence community. The well-known chatbot developed by OpenAI, ChatGPT, is based on GPT architecture and has millions of users utilizing its abilities for content generation. Its incredible… Read More »How to Keep Scaling Large Language Models when Data Runs Out? A New AI Research Trains 400 Models with up to 9B Parameters and 900B Tokens to Create an Extension of Chinchilla Scaling Laws for Repeated Data Tanya Malhotra Artificial Intelligence Category – MarkTechPost