​ In the past few years, language models have become the talk of the town. These models process, produce, and use natural language text to direct some ground-breaking AI applications. LLMs such as GPT-3, T5, and PaLM have performed significantly better. These models have begun… Read More »This Artificial Intelligence (AI) Research Shows The Feasibility Of Enabling Conversational Interactions With Mobile UIs Using Large Language Models LLMs Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Over the past few years, researchers have developed a keen interest in Question Answering (QA) related tasks when it comes to research in Natural Language Processing. Information retrieval (IR) systems, also known as retrievers, and machine reading comprehension (MRC) systems (also known as readers)… Read More »With Just ~20 Lines of Python Code, You can Do ‘Retrieval Augmented GPT Based QA’ Using This Open Source Repository Called PrimeQA Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​Posted by Krzysztof Choromanski, Staff Research Scientist, Robotics at Google, and Xuesu Xiao, Visiting Researcher, George Mason University Despite decades of research, we don’t see many mobile robots roaming our homes, offices, and streets. Real-world robot navigation in human-centric environments remains an unsolved problem. These… Read More »Performer-MPC: Navigation via real-time, on-robot transformers Google AI Google AI Blog

​ Amazon Kendra is a highly accurate and simple-to-use intelligent search service powered by machine learning (ML). Amazon Kendra offers a suite of data source connectors to simplify the process of ingesting and indexing your content, wherever it resides. Valuable data in organizations is stored… Read More »Index your Microsoft Exchange content using the Exchange connector for Amazon Kendra Ashish Lagwankar AWS Machine Learning Blog

​ Machine learning (ML) can help companies make better business decisions through advanced analytics. Companies across industries apply ML to use cases such as predicting customer churn, demand forecasting, credit scoring, predicting late shipments, and improving manufacturing quality. In this blog post, we’ll look at… Read More »Achieve rapid time-to-value business outcomes with faster ML model training using Amazon SageMaker Canvas Ajjay Govindaram AWS Machine Learning Blog

​ As social beings, humans daily communicate and express themselves through their behavior and accessories. With the expansion of social life into the online realm through social media and gaming, virtual representations of users, usually called avatars, have become increasingly important for social presence. The… Read More »Meet MEGANE: A Novel AI Approach For Synthesizing Realistic And Morphable Eyeglass Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ In-context learning is a natural language paradigm that demonstrates the ability of pre-trained models to pick up new behaviors using only a small number of example prompts as input. Most recent research indicates that large language models (LLMs), such as GPT-3 and the newest… Read More »Meet RECITE: A New Paradigm To Help Large Language Models (LLMs) Generate More Accurate Factual Knowledge Without Retrieving From An External Corpus Khushboo Gupta Artificial Intelligence Category – MarkTechPost

​ With the growing popularity and advancements in Artificial Intelligence, AI has successfully stepped into the field of Robotics. Robotics is a branch of engineering in which machines are developed and programmed to perform tasks without human involvement. A number of AI technologies are being… Read More »Researchers From Stanford Introduce Voltron: A Framework For Language-Driven Representation Learning From Human Videos Associated Captions Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​ Nowadays, text-based generative picture models are capable of creating a wide range of photorealistic images. Many recent efforts have expanded the text-to-image models to further accomplish customized generation by adding conditions such as segmentation maps, scene graphs, drawings, depth maps, and inpainting masks or… Read More »Alibaba AI Research Proposes Composer: A Large (5 Billion Parameters) Controllable Diffusion Model Trained on Billions of (Text, Image) Pairs Aneesh Tickoo Artificial Intelligence Category – MarkTechPost