​[[{“value”:” This post is co-written with HyeKyung Yang, Jieun Lim, and SeungBum Shim from LotteON. LotteON aims to be a platform that not only sells products, but also provides a personalized recommendation experience tailored to your preferred lifestyle. LotteON operates various specialty stores, including fashion,… Read More »How LotteON built a personalized recommendation system using Amazon SageMaker and MLOps SeungBum Shim AWS Machine Learning Blog

​“NEVER THINK THERE IS ANYTHING IMPOSSIBLE FOR THE SOUL. IT IS THE GREATEST HERESY TO THINK SO. IF THERE IS A SIN, THIS IS THE ONLY SIN; TO SAY THAT YOU ARE WEAK, OR OTHERS ARE WEAK”– By Swami Vivekanand Is Deep Learning now overtaking… Read More »What is Deep Learning? Vikas Maurya Chatbots Life – Medium

​ Once upon a time, there was no robotics in healthcare. The retail stores didn’t have any automated check-outs. Smart fintech apps could not offer personalized investment recommendations to their customers. Those were the times of legacy systems. Then along came artificial intelligence, IoT, data… Read More »How Generative AI can Accelerate Your Application Modernization Journey Haresh Kumbhani Chatbots Life – Medium

​[[{“value”:” Google has released a new family of vision language models called PaliGemma. PaliGemma can produce text by receiving an image and a text input. The architecture of the PaliGemma (Github) family of vision-language models consists of the image encoder SigLIP-So400m and the text decoder… Read More »Google AI Introduces PaliGemma: A New Family of Vision Language Models  Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial neural networks (ANNs) show a remarkable pattern when trained on natural data irrespective of exact initialization, dataset, or training objective; models trained on the same data domain converge to similar learned patterns. For example, for different image models, the initial layer weights tend… Read More »Harmonics of Learning: A Mathematical Theory for the Rise of Fourier Features in Learning Systems Like Neural Networks Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​ Originally Published on Stefan Speaks Continue reading on Becoming Human: Artificial Intelligence Magazine »  Originally Published on Stefan SpeaksContinue reading on Becoming Human: Artificial Intelligence Magazine »  Read More belief-systems, awakening, matrix, transformation, ideology 

​[[{“value”:” In the last year, artificial intelligence’s advancement and appeal reached unprecedented heights. There is also a lot of talk on the moral implications of this technology. Still, deep-learning models can do much more than produce social media posts with made-up words or amusing false… Read More »Top AI Tools for ‘Film Directors and Producers’ Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Salesforce AI Research has unveiled a groundbreaking development – the XGen-MM series. Building upon the success of its predecessor, the BLIP series, XGen-MM represents a leap forward in LLMs. This article delves into the intricacies of XGen-MM, exploring its architecture, capabilities, and implications for… Read More »XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by Salesforce Al Research Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In artificial intelligence (AI), utilizing monolithic large language models (LLMs) such as GPT-4 has been pivotal in advancing modern generative AI applications. However, the maintenance, training, and deployment of these LLMs at scale are fraught with challenges, primarily due to the high costs and… Read More »SambaNova Systems Enhances Modular AI Deployment through Composition of Experts on the SambaNova SN40L Platform Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Pre-training large models on time series data faces several challenges: the lack of a comprehensive public time series repository, the complexity of diverse time series characteristics, and the infancy of experimental benchmarks for model evaluation, especially under resource-constrained and minimally supervised scenarios. Despite these… Read More »CMU Researchers Propose MOMENT: A Family of Open-Source Machine Learning Foundation Models for General-Purpose Time Series Analysis Mohammad Asjad Artificial Intelligence – MarkTechPost