Top Low/No Code AI Tools 2024

Challenges of Implementing AI in Clinical Disease Management Large language models (LLMs) face significant challenges in clinical disease management. While they excel in diagnostic reasoning, their effectiveness in ongoing disease management, medication prescriptions, and multi-visit patient…

New research explores the potential of underwater image processing and machine learning to advance underwater robots in marine exploration. Deep learning methods, such as FCN-DenseNet and Mask R-CNN, show promise for improving image segmentation accuracy. A…

Understanding Retrieval-Augmented Generation (RAG) Retrieval-augmented generation (RAG) is gaining popularity for addressing issues in Large Language Models (LLMs), such as inaccuracies and outdated information. A RAG system includes two main parts: a retriever and a reader.…

The study explores aligning language models to desirable attributes, emphasizing improvement of poor outputs and aggregation of rewards learned from human preferences. This transformation technique, combined with logical conjunction, demonstrates substantial improvements in aligning language models…

Understanding Embodied Artificial Intelligence Embodied AI creates agents that can work independently in physical or simulated environments to complete tasks. These agents use large datasets and advanced models to make decisions and optimize their actions. Unlike…

Research from ETH Zurich and Microsoft introduces SliceGPT, a post-training sparsification scheme for large language models (LLMs). It reduces the embedding dimension, leading to faster inference without extra code optimization. The method utilizes computational invariance in…

Parseltongue: An Open-Source Browser Extension Designed for Advanced Text Manipulation and Visualization Practical Solutions and Value In the rapidly evolving fields of Natural Language Processing (NLP) and Artificial Intelligence (AI), the ability to translate human language…

AI technology is facing challenges in monetization due to escalating costs. Companies like Microsoft, Google, and Adobe are experimenting with different approaches to create, promote, and price their AI offerings. These costs also affect enterprise users…

LLMs are key to AI applications, but balancing performance with computational costs is a challenge. Traditional scaling laws don’t fully address inference expenses. MosaicML proposes modified scaling laws that consider both training and inference costs, suggesting…

Understanding Retrieval-Augmented Generation (RAG) Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge into their responses. This technique allows LLMs to access information from various sources like databases and scientific literature, improving their…

Practical AI Solutions for Aligning Models with Human Values Efficient Model Alignment Develop a model that adapts to user preferences in real time without the need for repeated retraining, reducing computational costs and time. Integrated Value…

LLVC (Low-latency, Low-resource Voice Conversion) is a real-time voice conversion model introduced by Koe AI. It operates efficiently on consumer CPUs, achieving sub-20ms latency at a 16kHz bitrate. LLVC utilizes a generative adversarial structure and knowledge…

Understanding the Challenges of Vision-Language Models Vision-Language Models (VLMs) face difficulties in tasks that require spatial reasoning, such as: Object localization Counting Relational question-answering This challenge arises because Vision Transformers (ViTs) are often trained with a…

The Power of AI in Protecting Cultural Heritage The world’s cultural heritage is at risk due to conflicts and natural disasters, threatening ancient sites and artifacts. AI offers sophisticated tools to document, analyze, and safeguard cultural…

Enhancing Protein Docking with AlphaRED Overview of Protein Docking Challenges Protein docking is crucial for understanding how proteins interact, but it poses many challenges, especially when proteins change shape during binding. Although tools like AlphaFold have…

The Importance of Maps in Today’s World Maps play a crucial role in various applications, such as: Navigation Ride-sharing Fitness tracking Gaming Robotics Augmented reality The Need for Better Indoor Mapping Solutions As indoor mapping technologies…

Video-Language Representation Learning Video-Language Representation Learning connects videos with their text descriptions. It is useful in areas like question answering, text retrieval, and summarization. A key technique in this field is contrastive learning, which helps networks…