​ In the world of data-driven decision-making, time series forecasting is key in enabling businesses to use historical data patterns to anticipate future outcomes. Whether you are working in asset risk management, trading, weather prediction, energy demand forecasting, vital sign monitoring, or traffic analysis, the… Read More »Robust time series forecasting with MLOps on Amazon SageMaker Nick Biso AWS Machine Learning Blog

​ In the rapidly evolving world of AI and machine learning (ML), foundation models (FMs) have shown tremendous potential for driving innovation and unlocking new use cases. However, as organizations increasingly harness the power of FMs, concerns surrounding data privacy, security, added cost, and compliance… Read More »Create a Generative AI Gateway to allow secure and compliant consumption of foundation models Talha Chattha AWS Machine Learning Blog

​ Companies use time series forecasting to make core planning decisions that help them navigate through uncertain futures. This post is meant to address supply chain stakeholders, who share a common need of determining how many finished goods are needed over a mixed variety of… Read More »Beyond forecasting: The delicate balance of serving customers and growing your business Charles Laughlin AWS Machine Learning Blog

​ In response to the scarcity of comprehensive datasets in the field of histopathology, a research team has introduced a groundbreaking solution known as QUILT-1M. This new framework aims to leverage the wealth of information available on YouTube, particularly in the form of educational histopathology… Read More »This AI Paper Introduces Quilt-1M: Harnessing YouTube to Create the Largest Vision-Language Histopathology Dataset Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​ From startups to enterprises, organizations of all sizes are getting started with generative AI. They want to capitalize on generative AI and translate the momentum from betas, prototypes, and demos into real-world productivity gains and innovations. But what do organizations need to bring generative… Read More »Announcing New Tools to Help Every Business Embrace Generative AI Swami Sivasubramanian AWS Machine Learning Blog

​ Recently, text-to-image (T2I) diffusion models have exhibited promising outcomes, sparking explorations into numerous generative tasks. Some efforts have been made to invert pre-trained text-to-image models to obtain text embedding representations, allowing for capturing object appearances in reference images. However, there has been limited exploration… Read More »Meet ReVersion: A Novel AI Diffusion-Based Framework to Address the Relation Inversion Task from Images Daniele Lorenzi Artificial Intelligence Category – MarkTechPost

​ GPT-4 with vision, known as GPT-4V, empowers users to instruct the model to analyse images provided by the user. This integration of image analysis into large language models (LLMs) represents a significant advancement that is now being made widely accessible. The inclusion of additional… Read More »Unlocking Multimodal AI with Open AI: GPT-4V’s Vision Integration and Its Impact Janhavi Lande Artificial Intelligence Category – MarkTechPost

​ A large corpus of text documents containing billions of text tokens is used to train large language models (LLMs). It has been demonstrated that performance at tasks like closed book QA improves accuracy as the number of model parameters increases, and larger models can… Read More »This AI Paper Introduces the COVE Method: A Novel AI Approach to Tackling Hallucination in Language Models Through Self-Verification Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​ Transformers could be one of the most important innovations in the artificial intelligence domain. These neural network architectures, introduced in 2017, have revolutionized how machines understand and generate human language.  Unlike their predecessors, transformers rely on self-attention mechanisms to process input data in parallel,… Read More »Unveiling the Secrets of Multimodal Neurons: A Journey from Molyneux to Transformers Ekrem Çetinkaya Artificial Intelligence Category – MarkTechPost

​ The introduction of Large language models (LLMs) has brought a significant level of advancement in the field of Artificial Intelligence. Based on the concepts of Natural Language Processing (NLP), Natural Language Understanding (NLU), and Natural Language Generation (NLG), LLMs have taken over the world… Read More »Researchers from MIT and CUHK Propose LongLoRA (Long Low-Rank Adaptation), An Efficient Fine-Tuning AI Approach For Long Context Large Language Models (LLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost