Skip to content Skip to sidebar Skip to footer

Uncategorized

TikTokers are appreciating this AI-based application that creates the illusion of having a multitude of followers.

Aspiring influencers on TikTok are strategically employing artificial intelligence (AI) to rapidly amass an audience. Some are even resorting to AI-backed 'live audience' apps to artificially boost their online popularity and attract real human followers. One such app is Parallel Live, advertised as the "#1 Fame Simulator" on the iOS App Store and Google Play Store.…

Read More

The AI study by Cohere explores the assessment of models using a massive assembly of language model evaluators, also known as PoLL.

In the field of artificial intelligence, the evaluation of Large Language Models (LLMs) poses significant challenges; particularly with regard to data adequacy and the quality of a model’s free-text output. One common solution is to use a singular large LLM, like GPT-4, to evaluate the results of other LLMs. However, this methodology has drawbacks, including…

Read More

The Benefits of Edge AI Compared to Conventional AI

Edge Artificial Intelligence (Edge AI) is a novel approach to implementing AI algorithms and models on local devices, such as sensors or IoT devices at the network's edge. The technology permits immediate data processing and analysis, reducing the reliance on cloud infrastructure. As a result, devices can make intelligent decisions autonomously and quickly, eliminating the…

Read More

ScrapeGraphAI: This Python library utilizes machine learning models for web scraping and simplifies the process of building scraping pipelines for websites, documents, and XML files.

In an era dominated by data-driven decision-making, businesses, researchers, and developers constantly require specific information from various online sources. This information, used for tasks like analyzing trends and monitoring competitors, is traditionally collected using web scraping tools. The trouble is that these tools require a sound understanding of programming and web technologies, can deliver errors,…

Read More

Investigating Efficient Parameter Adjustment Approaches for Comprehensive Language Models

Large Language Models (LLMs) represent a significant advancement across several application domains, delivering remarkable results in a variety of tasks. Despite these benefits, the massive size of LLMs renders substantial computational costs, making them challenging to adapt to specific downstream tasks, particularly on hardware systems with limited computational capabilities. With billions of parameters, these models…

Read More

The AI research document from China unveiles a new tool known as TinyChart: a highly efficient large-scale multimodal language model for interpreting charts that operates on a mere 3 billion parameters.

In the age of rapidly growing data volume, charts have become vital tools for visualizing data in diverse fields ranging from business to academia. As a result, the need for automated chart comprehension has become increasingly important and received significant attention. While advancements in Multimodal Large Language Models (MLLMs) have shown promise in understanding images…

Read More

Maintaining Equilibrium between Innovation and Rights: A Collaborative Game Theory Strategy for Copyright Handling in AI based Creative Technologies.

Generative artificial intelligence's (AI) ability to create new text, images, videos, and other media represents a huge technological advancement. However, there's a downside: generative AI may unwittingly infrive on copyrights by using existing creative works as raw material without the original author's consent. This poses serious economic and legal challenges for content creators and creative…

Read More

Meta AI Presents CyberSecEval 2: A New Machine Learning Standard to Measure Security Threats and Abilities in LLM

Large language models (LLMs) are increasingly in use, which is leading to new cybersecurity risks. The risks stem from their main characteristics: enhanced capability for code creation, deployment for real-time code generation, automated execution within code interpreters, and integration into applications handling unprotected data. It brings about the need for a strong approach to cybersecurity…

Read More

Intricate and unfamiliar phrases require more effort from the brain’s language processing system.

With the assistance of an artificial language network, MIT neuroscientists have discovered what types of sentences serve to stimulate the brain's primary language processing regions. In a study published in Nature Human Behavior, they revealed that these areas respond more robustly to sentences that display complexity, either due to unconventional grammar or unexpected meaning. Evelina Fedorenko,…

Read More

Create confidential and safe corporate generative AI applications using Amazon Q Business and AWS IAM Identity Center.

Launched on April 30, 2024, Amazon Q Business is a conversational assistant using generative artificial intelligence (AI) to improve workforce productivity by answering queries and completing tasks based on information from your enterprise systems. Employees can access enterprise content securely and privately via web applications developed with Amazon Q Business. The functionality of the system…

Read More

The Necessity of Data and Intuition in Business: Transitioning from Statistics to Gut Feelings

The article "From Numbers to Instincts: Why Both Data and Intuition Are Non-negotiable in Business" emphasizes the importance of both data and intuition in achieving business success. It also highlights that the integration of these two is most effective when supported by modern technology, such as project portfolio management (PPM) software. For effective decision making, particularly…

Read More