How to find the max value in a Python dictionary? A dictionary is an essential data structure in Python that allows you to store data in the form of key-value pairs. While dictionaries provide an efficient way to organize and access data, finding the… Read More »Python Max Value in Dictionary Malli Spark By {Examples}
Even seemingly motionless images include minute oscillations because of things like wind, water currents, breathing, or other natural rhythms. This is because the natural world is constantly in motion. Humans are especially sensitive to motion, which makes it one of the most prominent visual… Read More »Google Researchers Present a New Artificial Intelligence Approach to Modeling an Image-Space Prior to Scene Dynamics Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
A key challenge in the field of digital audio processing is audio super-resolution. It aims to enhance the quality of audio signals by anticipating and incorporating missing high-frequency components into low-resolution audio data. The primary goal is to deliver a more immersive and superior… Read More »Meet AudioSR: A Plug & Play and One-for-All AI Solution for Upsampling Audio to Incredible 48kHz Quality Tanya Malhotra Artificial Intelligence Category – MarkTechPost
What are LLMs? Large Language Models (LLMs) are AI tools that can understand and generate human language. They are powerful neural networks with billions of parameters trained on massive amounts of text data. The extensive training of these models gives them a deep understanding… Read More »LLMs & Knowledge Graphs Arham Islam Artificial Intelligence Category – MarkTechPost
Large language models have made significant and encouraging developments in recent years. Language models now have billions or even trillions of parameters, such as GPT3, PaLM, and Switch Transformers, up from millions in earlier models like ELMo and GPT-1. With greater human-like fluency and… Read More »Meet Baichuan 2: A Series of Large-Scale Multilingual Language Models Containing 7B and 13B Parameters, Trained from Scratch, on 2.6T Tokens Aneesh Tickoo Artificial Intelligence Category – MarkTechPost
Do you ever wonder why LLMs Hallucinate or get things completely wrong? Why does it happen even after training the model on your knowledge base or even after fine-tuning? The answer lies in understanding the fundamental structure of an LLM and how it works. One… Read More »Unlock the Secrets to Reducing LLM Hallucinations Stefan Kojouharov Chatbots Life – Medium
Multi-modal data is a valuable component of the financial industry, encompassing market, economic, customer, news and social media, and risk data. Financial organizations generate, collect, and use this data to gain insights into financial operations, make better decisions, and improve performance. However, there are… Read More »Generative AI and multi-modal agents in AWS: The key to unlocking new value in financial markets Sovik Nath AWS Machine Learning Blog
This post is written in collaboration with Dima Zadorozhny and Fuad Babaev from VirtuSwap. VirtuSwap is a startup company developing innovative technology for decentralized exchange of assets on blockchains. VirtuSwap’s technology provides more efficient trading for assets that don’t have a direct pair between them.… Read More »How VirtuSwap accelerates their pandas-based trading simulations with an Amazon SageMaker Studio custom container and AWS GPU instances Adir Sharabi AWS Machine Learning Blog
Amazon SageMaker Feature Store provides an end-to-end solution to automate feature engineering for machine learning (ML). For many ML use cases, raw data like log files, sensor readings, or transaction records need to be transformed into meaningful features that are optimized for model training.… Read More »Unlock ML insights using the Amazon SageMaker Feature Store Feature Processor Dhaval Shah AWS Machine Learning Blog
Separating a video into numerous layers, each with its alpha matte, and then recomposing the layers back into the original video is the challenge known as “video matting.” Since it’s possible to swap out layers or process them separately before compositing them back, it… Read More »Researchers from the University of Maryland and Meta AI Propose OmnimatteRF: A Novel Video Matting Method that Combines Dynamic 2D Foreground Layers and a 3D Background Model Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost