Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” Retrieval-augmented generation (RAG) is a cutting-edge technique in artificial intelligence that combines the strengths of retrieval-based approaches with generative models. This integration allows for creating high-quality, contextually relevant responses by leveraging vast datasets. RAG has significantly improved the performance of virtual assistants, chatbots, and… Read More »Meet Verba 1.0: Run State-of-the-Art RAG Locally with Ollama Integration and Open Source Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” The increasing availability of digital text in diverse languages and scripts presents a significant challenge for natural language processing (NLP). Multilingual pre-trained language models (mPLMs) often struggle to handle transliterated data effectively, leading to performance degradation. Addressing this issue is crucial for improving cross-lingual… Read More »TRANSMI: A Machine Learning Framework to Create Baseline Models Adapted for Transliterated Data from Existing Multilingual Pretrained Language Models mPLMs without Any Training Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” Video understanding is one of the evolving areas of research in artificial intelligence (AI), focusing on enabling machines to comprehend and analyze visual content. Tasks like recognizing objects, understanding human actions, and interpreting events within a video come under this domain. Advancements in this… Read More »CinePile: A Novel Dataset and Benchmark Specifically Designed for Authentic Long-Form Video Understanding Nikhil Artificial Intelligence Category – MarkTechPost

Application developers advertise their Apps by creating product pages with App images, and bidding on search terms. It is then crucial for App images to be highly relevant with the search terms. Solutions to this problem require an image-text matching model to predict the quality… Read More »Automatic Creative Selection with Cross-Modal Matching Apple Machine Learning Research

Much of early literacy education happens at home with caretakers reading books to young children. Prior research demonstrates how having dialogue with children during co-reading can develop critical reading readiness skills, but most adult readers are unsure if and how to lead effective conversations. We… Read More »ContextQ: Generated Questions to Support Meaningful Parent-Child Dialogue While Co-Reading Apple Machine Learning Research

[[{“value”:” Large Language Models (LLMs) such as ChatGPT have attracted a lot of attention since they can perform a wide range of activities, including language processing, knowledge extraction, reasoning, planning, coding, and tool use. These abilities have sparked research into creating even more sophisticated AI… Read More »ALPINE: Autoregressive Learning for Planning in Networks Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Transformer-based neural networks have shown great ability to handle multiple tasks like text generation, editing, and question-answering. In many cases, models that use more parameters show better performance measured by perplexity and high accuracies of end tasks. This is the main reason for the… Read More »This AI Paper from Huawei Introduces a Theoretical Framework Focused on the Memorization Process and Performance Dynamics of Transformer-based Language Models (LMs) Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Google AI researchers describe their novel approach to addressing the challenge of generating high-quality synthetic datasets that preserve user privacy, which are essential for training predictive models without compromising sensitive information. As machine learning models increasingly rely on large datasets, ensuring the privacy of… Read More »Google AI Described New Machine Learning Methods for Generating Differentially Private Synthetic Data Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

[[{“value”:” Autonomous robotics has seen significant advancements over the years, driven by the need for robots to perform complex tasks in dynamic environments. At the heart of these advancements lies the development of robust planning architectures that enable robots to plan, perceive, and execute tasks… Read More »Planning Architectures for Autonomous Robotics Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” Incorporating demonstrating examples, known as in-context learning (ICL), significantly enhances large language models (LLMs) and large multimodal models (LMMs) without requiring parameter updates. Recent studies confirm the efficacy of few-shot multimodal ICL, particularly in improving LMM performance on out-of-domain tasks. With longer context windows… Read More »This AI Paper from Stanford University Evaluates the Performance of Multimodal Foundation Models Scaling from Few-Shot to Many-Shot-In-Context Learning ICL Mohammad Asjad Artificial Intelligence Category – MarkTechPost