​[[{“value”:” Exploring the fusion of artificial intelligence with mathematical reasoning reveals a dynamic intersection where technology meets one of humanity’s oldest intellectual pursuits. The quest to imbue machines capable of parsing and solving mathematical problems stretches beyond mere computation, delving into the essence of cognitive… Read More »From Numbers to Knowledge: The Role of LLMs in Deciphering Complex Equations! Muhammad Athar Ganaie Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the first post of this three-part series, we presented a solution that demonstrates how you can automate detecting document tampering and fraud at scale using AWS AI and machine learning (ML) services for a mortgage underwriting use case. In the second post, we… Read More »Automate mortgage document fraud detection using an ML model and business-defined rules with Amazon Fraud Detector: Part 3 Anup Ravindranath AWS Machine Learning Blog

​[[{“value”:” With the rising complexity and capability of Artificial Intelligence (AI), its latest innovation, i.e., the Large Language Models (LLMs), has demonstrated great advances in tasks, including text generation, language translation, text summarization, and code completion. The most sophisticated and powerful models are frequently private,… Read More »Meet OLMo (Open Language Model): A New Artificial Intelligence Framework for Promoting Transparency in the Field of Natural Language Processing (NLP) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In recent years, researchers in the field of robotic reinforcement learning (RL) have achieved significant progress, developing methods capable of handling complex image observations, training in real-world scenarios, and incorporating auxiliary data, such as demonstrations and prior experience. Despite these advancements, practitioners acknowledge the… Read More »UC Berkeley Researchers Introduce SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning Janhavi Lande Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have profoundly transformed the landscape of artificial intelligence (AI) in natural language processing (NLP). These models can understand and generate human-like text, representing a pinnacle of current AI research. Yet, the computational intensity required for their operation, particularly during inference,… Read More »This AI Paper from Alibaba Introduces EE-Tuning: A Lightweight Machine Learning Approach to Training/Tuning Early-Exit Large Language Models (LLMs) Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The emergence of Large Language Models (LLMs) has transformed the landscape of natural language processing (NLP). The introduction of the transformer architecture marked a pivotal moment, ushering in a new era in NLP. While a universal definition for LLMs is lacking, they are generally… Read More »Researchers from McGill University Present the Pythia 70M Model for Distilling Transformers into Long Convolution Models Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Self-supervised learning (SSL) has proven to be an indispensable technique in AI, particularly in pretraining representations on vast, unlabeled datasets. This significantly reduces the dependency on labeled data, often a major bottleneck in machine learning. Despite the merits, a major challenge in SSL, particularly… Read More »Apple Researchers Introduce LiDAR: A Metric for Assessing Quality of Representations in Joint Embedding JE Architectures Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI has recently seen a boom, with large language models (LLMs) showing broad applicability across many fields. These models have improved the performance of numerous tools, including those that facilitate interactions based on searches, program synthesis, chat, and many more. Also, language-based methods… Read More »Meet Symbolicai: A Machine Learning Framework that Combines Generative Models and Solvers for Logic-Based Approaches Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture. Bringing innovative new pharmaceuticals drugs to market is a long and stringent process. Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug… Read More »Accenture creates a regulatory document authoring solution using AWS generative AI services Ilan Geller AWS Machine Learning Blog