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Researchers from Johns Hopkins and UC Santa Cruz Unveil D-iGPT: A Groundbreaking Advance in Image-Based AI Learning

AI NewsDecember 11, 2023167Views 0Likes 0Comments

Natural language processing (NLP) has entered a transformational period with the introduction of Large Language Models (LLMs), like the GPT series, setting new performance standards for various linguistic tasks. Autoregressive pretraining, which teaches models to forecast the most likely tokens in a sequence, is one of the main factors causing this amazing achievement. Because of…

Measuring perception in AI models

OpenAIDecember 11, 2023184Views 0Likes 0Comments

New benchmark for evaluating multimodal systems based on real-world video, audio, and text data From the Turing test to ImageNet, benchmarks have played an instrumental role in shaping artificial intelligence (AI) by helping define research goals and allowing researchers to measure progress towards those goals. Incredible breakthroughs in the past 10 years, such as AlexNet…

Data Altruism: The Digital Fuel for Corporate Engines | by Tea Mustać | Dec, 2023

Data ScienceDecember 11, 2023170Views 0Likes 0Comments

The dos and don’ts of processing data in the age of AI 10 min read · 23 hours ago Image by Gilles Lambert on UnsplashThe digital economy has been built on the wonderful promise of equal, fast, and free access to knowledge and information. It has been a long time since then.…

A Complete Guide for Lead Scoring

UncategorisedDecember 11, 2023165Views 0Likes 0Comments

Introduction Lead scoring is an essential methodology in the realm of B2B sales and marketing. At its core, it involves assigning a numerical score to each lead, typically on a scale from 1 to 100, to gauge their likelihood of making a purchase. This process is a strategic approach to understand the potential of…

Remote Work in Data Science: Pros and Cons

Data AnalyticsDecember 11, 2023194Views 0Likes 0Comments

Photo by Ketut Subiyanto In the not-so-distant past, data scientists were tethered to cubicles and confined to physical office spaces. However, times are changing, and the remote work revolution is reshaping the professional landscape. Today, it is easier than ever to pursue your passion for data science while working from the comfort of…

Researchers from Stanford University and FAIR Meta Unveil CHOIS: A Groundbreaking AI Method for Synthesizing Realistic 3D Human-Object Interactions Guided by Language

AI NewsDecember 11, 2023169Views 0Likes 0Comments

The problem of generating synchronized motions of objects and humans within a 3D scene has been addressed by researchers from Stanford University and FAIR Meta by introducing CHOIS. The system operates based on sparse object waypoints, an initial state of things and humans, and a textual description. It controls interactions between humans and objects by…

Stopping malaria in its tracks

OpenAIDecember 11, 2023136Views 0Likes 0Comments

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Pushing the Limits of the Two-Tower Model | by Samuel Flender | Dec, 2023

Data ScienceDecember 11, 2023157Views 0Likes 0Comments

Where the assumptions behind the two-tower model architecture break — and how to go beyond (Image created by the author using generative AI)Two-tower models are among the most common architectural design choices in modern recommender systems — the key idea is to have one tower that learns relevance, and a second, shallow, tower that learns…

Mastering Data Science Workflows with ChatGPT

Data AnalyticsDecember 10, 2023143Views 0Likes 0Comments

Image by Editor Data science is an ever-evolving field, and the constant influx of data makes it a compelling case to solve complex problems with innovative solutions. One such solution that has gained attention in recent times is ChatGPT. This powerful language model, developed by OpenAI, has shown remarkable natural language understanding and…

Tencent Researchers Present FaceStudio: An Innovative Artificial Intelligence Approach to Text-to-Image Generation Specifically Focusing on Identity-Preserving

AI NewsDecember 10, 2023188Views 0Likes 0Comments

Text-to-image diffusion models represent an intriguing field in artificial intelligence research. They aim to create lifelike images based on textual descriptions utilizing diffusion models. The process involves iteratively generating samples from a basic distribution, gradually transforming them to resemble the target image while considering the text description. Multiple steps are involved, adding progressive noise to…