Skip to content Skip to sidebar Skip to footer

Tech News

Scholars from the University of Maryland and NYU have developed an AI system designed to comprehend and isolate style indicators from visual elements.

Researchers from New York University, ELLIS Institute, and the University of Maryland have developed a model, known as Contrastive Style Descriptors (CSD), that enables a more nuanced understanding of artistic styles in digital artistry. This has been done with the aim of deciphering whether generative models like Stable Diffusion and DALL-E are merely replicating existing…

Read More

Improving Video AI by Utilizing Intelligent Caption-Based Rewards

Machine learning researchers have developed a cost-effective reward mechanism to help improve how language models interact with video data. The technique involves using detailed video captions to measure the quality of responses produced by video language models. These captions serve as proxies for actual video frames, allowing language models to evaluate the factual accuracy of…

Read More

Weco AI Introduces ‘AIDE’: An AI Assistant Capable of Independently Tackling Data Science Assignments at Par with Human Performance.

Weco AI, a leading entity in the Artificial Intelligence (AI) industry, recently launched an innovation called AIDE, an AI agent that can handle data science tasks as efficiently as a human. In a breakthrough moment, AIDE successfully performed at a human level in the renowned Kaggle competitions, an established platform for testing the abilities of…

Read More

Poro 34B: An AI Model with a 34B Parameter, Developed for 1 Trillion Tokens Including English, Finnish, and Programming languages, with a Special Focus on 8 Billion Tokens of Finnish-English Translation Pairs.

The increasingly sophisticated language models of today need vast quantities of text data for pretraining, often in the order of trillions of words. This poses a considerable problem for smaller languages that lack the necessary resources. To tackle this issue, researchers from the TurkuNLP Group, the University of Turku, Silo AI, the University of Helsinki,…

Read More

This theoretical review on neural network structures using Topos Theory is presented in the Artificial Intelligence Paper from King’s College London.

Researchers at King's College London have conducted a study that delves into the theoretical understanding of transformer architectures, such as the model used in ChatGPT. Their goal is to explain why this type of architecture is so successful in natural language processing tasks. While transformer architectures are widely used, their functional mechanisms are yet to…

Read More

The ‘Self-Critique’ pipeline, an innovative approach to mathematical problem solving in broad language models, has been unveiled by scientists at Zhipu AI and Tsinghua University.

Large language models (LLMs) have received much acclaim for their ability to understand and process human language. However, these models tend to struggle with mathematical reasoning, a skill that requires a combination of logic and numeric understanding. This shortcoming has sparked interest in researching and developing methods to improve LLMs' mathematical abilities without downgrading their…

Read More

What is the Connection between Generative Retrieval and Multi-Vector Dense Retrieval?

With an increase in the adoption of pre-trained language models in recent years, the use of neural-based retrieval models has been on the rise. One of these models is Dense Retrieval (DR), known for its effectiveness and impressive ranking performance on several benchmarks. In particular, Multi-Vector Dense Retrieval (MVDR) employs multiple vectors to describe documents…

Read More

Google’s AI showcases innovative standards in video analysis through its Streaming Dense Captioning model.

Google researchers have developed a new streaming dense video captioning model which aims to improve on previous methods by enabling localized identification of events within a video and real-time generation of appropriate captions for them. Existing practices are hindered by limited frame processing, causing incomplete or inadequate video descriptions. The existing dense video captioning models have…

Read More

Introducing ‘LangChain Financial Agent’: A Fintech Venture Powered by AI, Constructed on Langchain and FastAPI

In a world full of investment opportunities, choosing the right one requires having access to accurate financial data and understanding complex financial metrics. Both seasoned and new investors face challenges in obtaining this information and staying up-to-date with the latest financial news. While there are a plethora of tools and services designed to provide this…

Read More

Introducing Atla: An Emerging Machine Learning Venture Creating an AI Assessment Tool to Maximize the Capabilities of Language Models for Software Developers.

Large language models (LLMs) are the driving force behind innovation in the field of artificial intelligence (AI). LLMs are expanding the capabilities of machines, especially in areas of text creation and human-like dialogue. But this evolution carries a persisting challenge - precisely assessing the capacity of these models. Current methods of evaluating LLMs can be problematic.…

Read More

Google AI researchers have developed a new privacy-centric cascade system to improve the performance of machine learning models.

The concept of cascades in large language models (LLMs) has gained popularity for its high task efficiency while reducing data inference. However, potential privacy issues can arise in managing sensitive user information due to interactivity between local and remote models. Conventional cascade systems lack privacy-protecting mechanisms, causing sensitive data to be unintentionally transferred to the…

Read More