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In a significant leap forward for AI, Together AI has introduced an innovative Mixture of Agents (MoA) approach, Together MoA. This new model harnesses the collective strengths of multiple large language models (LLMs) to enhance state-of-the-art...
In the modern world, efficiency is key. Companies are constantly seeking ways to streamline their operations, reduce bottlenecks, and increase productivity.  Bitrix24 is comprehensive platform that offers a suite of tools designed to enhance collaboration, manage tasks,...

Google AI Open-Sources ‘Google Scanned Objects’: A Dataset of 3D-Scanning Common Household For Deep Learning Research

Deep learning is used in many recent developments in computer vision and robotics; however, training deep learning models takes a lot of data to...

Researchers at Intel Labs Creates A New Data Science Pipeline That Accelerates Single-cell RNA-Seq Analysis

This Article is written as a summary by Marktechpost Staff based on the research article 'Intel Labs Accelerates Single-cell RNA-Seq Analysis'. All Credit For...

Stanford AIMI Releases Its Free Open-Source Repository Of Medical Datasets For Artificial Intelligence (AI) Research

Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....

Facebook AI Releases An Image Similarity Data Set And Announces The Launch Of An Associated Competition With A $200,000 Prize Pool

Recently, Facebook released the Image Similarity data set and announced an associated competition hosted by DrivenData with a whopping $200,000 prize pool. The competition began on...

Top IoT Books To Read in 2021

The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies by Erik Brynjolfsson and Andrew McAfee In recent years, Google’s autonomous cars have logged thousands...

Optimizing Hyperparameters Using The Keras Tuner Framework

Hyperparameter optimization is an integral part of deep learning as a machine learning project is crucially dependent on the choice of good hyperparameters. Neural...

An MIT And IBM Research Group Has Proposed A Cross-Modal Auditory Localization Framework To Locate Moving Objects Using Stereo Sound Instead of Visual Input

Object localization means locating an instance of a particular moving object in a scene. This is done by using visual data as the input...

DeepMind Research Introduces Algorithms for Causal Reasoning in Probability Trees

For cutting-edge AI researchers looking for clean semantics models to represent the context-specific causal dependencies essential for causal induction, this DeepMind's algorithm encourages you to look at...

LiteDepthwiseNet: A Lightweight Neural Network for Hyperspectral Image Classification

What are Hyperspectral images? Hyperspectral images (HSIs) are a kind of optical remote sensing image with a high spectral resolution. Hyperspectral images (HSIs) have attracted...

Facebook AI Open-Sources Graph Transformer Networks (GTN) For Automatic Differentiation With Graphs

Graph Transformer Networks (GTN) is an open-source framework with weighted finite-state transducers (WFSTs), a powerful and expressive type of graph. GTN, just like PyTorch,...

LALE: A Python Library Simplifying Automated Machine Learning

Whenever any data scientist thinks of developing a pipeline, they try bringing automated machine learning into the picture to make the task easier. However,...

tsBNgen, a Python Library to Generate Synthetic Data From an Arbitrary Bayesian Network.

When we think of machine learning, the first step is to acquire and train a large dataset. However, many times the data isn’t available...

Galileo Introduces Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High...

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The Galileo Luna represents a significant advancement in language model evaluation. It is specifically designed to address the prevalent issue of hallucinations in large...

Yandex Introduces YaFSDP: An Open-Source AI Tool that Promises to Revolutionize LLM Training by...

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Developing large language models requires substantial investments in time and GPU resources, translating directly into high costs. The larger the model, the more pronounced...

Gretel AI Releases a New Multilingual Synthetic Financial Dataset on HuggingFace 🤗 for AI...

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Detecting personally identifiable information PII in documents involves navigating various regulations, such as the EU’s General Data Protection Regulation (GDPR) and various U.S. financial...

Snowflake AI Research Team Unveils Arctic: An Open-Source Enterprise-Grade Large Language Model (LLM) with...

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Snowflake AI Research has launched the Arctic, a cutting-edge open-source large language model (LLM) specifically designed for enterprise AI applications, setting a new standard...

Google DeepMind Releases RecurrentGemma: One of the Strongest 2B-Parameter Open Language Models Designed for...

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Language models are the backbone of modern artificial intelligence systems, enabling machines to understand and generate human-like text. These models, which process and predict...

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