​[[{“value”:” Data scarcity in low-resource languages can be mitigated using word-to-word translations from high-resource languages. However, bilingual lexicons typically need more overlap with task data, leading to inadequate translation coverage. Extremely low-resource languages need more labeled data, widening the gap in NLP progress compared to… Read More »Brown University Researchers Propose LexC-Gen: A New Artificial Intelligence Method that Generates Low-Resource-Language Classification Task Data at Scale Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has witnessed a remarkable shift towards integrating multimodality in large language models (LLMs), a development poised to revolutionize how machines understand and interact with the world. This shift is driven by the understanding that the human experience is inherently multimodal, encompassing not… Read More »Meet AnyGPT: Bridging Modalities in AI with a Unified Multimodal Language Model Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the interdisciplinary field of biomedical research, the advent of foundation models (FMs) has significantly enhanced our ability to process and analyze large volumes of unlabeled data across various tasks. Despite their prowess, FMs in the biomedical domain have largely been confined to unimodal… Read More »Amazon AI Research Introduces BioBRIDGE: A Parameter-Efficient Machine Learning Framework to Bridge Independently Trained Unimodal Foundation Models to Establish Multimodal Behavior Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reka addresses the need for advanced language and vision models with their state-of-the-art multimodal and multilingual language model, Reka Flash. It can perform excellently on various benchmarks of LLM even with a smaller model, Reka Edge, with just 7B of trainable parameters. The models… Read More »Reka AI Releases Reka Flash: An Efficient and Capable State-of-the-Art 21B Multimodal Language Model Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the digital world, identifying the type of files we encounter is crucial for various reasons, such as ensuring user safety and maintaining security. The challenge lies in accurately and swiftly detecting the content of files, especially when dealing with a vast array of… Read More »Meet Magika: A Novel AI-Powered File Type Detection Tool that Relies on the Recent Advancements of Deep Learning to Provide Accurate Detection Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent research, a team of researchers from Meta has presented TestGen-LLM, a unique tool that uses Large Language Models (LLMs) to improve pre-existing human-written test suites automatically. TestGen-LLM guarantees that the test classes it generates satisfy certain requirements and provide quantifiable enhancements over… Read More »Meta AI Introduces TestGen-LLM for Automated Unit Test Improvement Using Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Researchers continually seek to enhance their capabilities, particularly in understanding and interpreting complex, subjective, and often conflicting information. This pursuit has led to the development of retrieval-augmented language models (RAGs), which have the formidable task of sifting through a deluge of data to address… Read More »UC Berkeley Researchers Explore the Challenges of Subjective Queries in AI: Introducing the ConflictingQA Dataset for Enhanced Language Model Understanding Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” New standards are being set across various activities by Large Language Models (LLMs), which are causing a revolution in natural language processing. Despite their successes, most of these models rely on attention mechanisms implemented in Transformer frameworks. Impractical computing complexity for extending contextual processing… Read More »Tinkoff Researchers Unveil ReBased: Pioneering Machine Learning with Enhanced Subquadratic Architectures for Superior In-Context Learning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Financial documents are usually laden with complex numerical data and very specific terminology and jargon, which presents a challenge for existing Natural Language Processing (NLP) models. These models require advanced capabilities for numerical processing and a deep understanding of this jargon to accurately interpret… Read More »Meet FinTral: A Suite of State-of-the-Art Multimodal Large Language Models (LLMs) Built Upon the Mistral-7B Model Tailored for Financial Analysis Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The efficacy of deep reinforcement learning (RL) agents critically depends on their ability to utilize network parameters efficiently. Recent insights have cast light on deep RL agents’ challenges, notably their tendency to underutilize network parameters, leading to suboptimal performance. This inefficiency is not merely… Read More »This Paper from Google DeepMind Explores Sparse Training: A Game-Changer in Machine Learning Efficiency for Reinforcement Learning Agents Adnan Hassan Artificial Intelligence Category – MarkTechPost