​[[{“value”:” Cohere is a prominent company specializing in enterprise-focused artificial intelligence (AI) solutions. Located in Toronto, Canada, it has contributed significantly throughout 2024 with groundbreaking advancements. These developments span generative AI, multilingual processing, and enterprise-ready AI applications, reflecting Cohere’s focus on driving innovation and enhancing… Read More »Cohere Evolves Enterprise AI in 2024: Innovations in Generative Models, Multilingual Processing, and Developer Tools Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Chronos-Bolt is the newest addition to AutoGluon-TimeSeries, delivering accurate zero-shot forecasting up to 250 times faster than the original Chronos models [1]. Time series forecasting plays a vital role in guiding key business decisions across industries such as retail, energy, finance, and healthcare. Traditionally,… Read More »Fast and accurate zero-shot forecasting with Chronos-Bolt and AutoGluon Abdul Fatir Ansari AWS Machine Learning Blog

​[[{“value”:” Today, the Accounts Payable (AP) and Accounts Receivable (AR) analysts in Amazon Finance operations receive queries from customers through email, cases, internal tools, or phone. When a query arises, analysts must engage in a time-consuming process of reaching out to subject matter experts (SMEs)… Read More »How Amazon Finance Automation built a generative AI Q&A chat assistant using Amazon Bedrock Soheb Moin AWS Machine Learning Blog

​[[{“value”:” Speech synthesis has become a transformative research area, focusing on creating natural and synchronized audio outputs from diverse inputs. Integrating text, video, and audio data provides a more comprehensive approach to mimic human-like communication. Advances in machine learning, particularly transformer-based architectures, have driven innovations,… Read More »Visatronic: A Unified Multimodal Transformer for Video-Text-to-Speech Synthesis with Superior Synchronization and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Home Table of Contents Fine Tune PaliGemma with QLoRA for Visual Question Answering What Is PaliGemma? What Is a Vision-Language Model? Architecture of PaliGemma How Is PaliGemma Trained? Available Model Checkpoints Use Cases of PaliGemma Why PaliGemma? Inference with PaliGemma Setup and Imports Run… Read More »Fine Tune PaliGemma with QLoRA for Visual Question Answering Piyush Thakur PyImageSearch

​[[{“value”:” Graph Convolutional Networks (GCNs) have become integral in analyzing complex graph-structured data. These networks capture the relationships between nodes and their attributes, making them indispensable in domains like social network analysis, biology, and chemistry. By leveraging graph structures, GCNs enable node classification and link… Read More »This AI Paper Introduces SuperGCN: A Scalable and Efficient Framework for CPU-Powered GCN Training on Large Graphs Nikhil Artificial Intelligence Category – MarkTechPost

​Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it as well. Graph RAG, Graph RAG, Graph RAG! This term has become the talk of the town, and you might have come across it… Read More »Building a Graph RAG System: A Step-by-Step Approach Kanwal Mehreen MachineLearningMastery.com

​[[{“value”:” The study of collective decision-making in biological and artificial systems addresses critical challenges in understanding how groups achieve consensus through simple interactions. Such processes underpin behaviors in animal herds, human groups, and robotic swarms. Recent advances in neuroscience have explored how neural dynamics, oscillations,… Read More »Bridging Neural Dynamics and Collective Intelligence: A Study on Adaptive Multi-Agent Systems for Effective Consensus-Building in Complex and Dynamic Environments Asif Razzaq Artificial Intelligence Category – MarkTechPost