The Best Optimization Algorithm for Your Neural Network

RISE: A Machine Learning Approach for Fine-Tuning LLMs Enhancing Large Language Models’ Self-Improvement Capabilities Large language models (LLMs) are powerful tools for various tasks, but face challenges when it comes to making decisions and improving their…

Google recently introduced a search feature called Search Generative Experience (SGE), which uses generative AI to provide summarized answers to search queries. While Google aims to improve user experience, media publishers are concerned about the lack…

Transforming Software Maintenance with LocAgent Transforming Software Maintenance with LocAgent Introduction The maintenance of software is essential to the development lifecycle, where developers regularly address existing code to fix bugs, implement new functionalities, and enhance performance.…

The EU reached a historic agreement on the AI Act, set to come into effect in 2024. It establishes comprehensive laws to regulate AI, following intense negotiation. The legislation covers governance, enforcement, rights protection, prohibited practices,…

Video Generation in AI Video generation is a key area in artificial intelligence, focusing on creating high-quality, consistent videos. The latest machine learning models, especially diffusion transformers (DiTs), are leading the way, offering better quality than…

Enhancing AI Model Training with AgentInstruct Addressing Challenges in Synthetic Data Generation Large language models (LLMs) have revolutionized applications like chatbots, content creation, and data analysis. However, ensuring high-quality and diverse training data remains a challenge.…

Challenges in AI, ML, and HPC As AI, machine learning (ML), and high-performance computing (HPC) grow in importance, they also present challenges. These technologies require powerful computing resources, efficient memory use, and optimized software. Developers often…

AI and ML have advanced in various fields, including chemistry. However, challenges persist for smaller datasets. PythiaCHEM, an ML toolkit, addresses this with tailored tools for predictive models in chemistry. It’s implemented in Python, organizes modules…

Challenges and Solutions in AI Adoption Organizations face significant hurdles when adopting advanced AI technologies like Multi-Agent Systems (MAS) powered by Large Language Models (LLMs). These challenges include: High technical complexity Implementation costs However, No-Code platforms…

Advanced Video Processing with AI Revolutionizing Long-Context Video Modeling One of the major advancements in AI is the ability to understand long videos, such as movies and live streams. However, challenges remain in grasping the context…

This article provides a detailed guide to implementing version control in Machine Learning Operations (MLOps), accessible through the Towards Data Science platform.

Text-to-image diffusion models have revolutionized AI image generation, simulating human creativity. Orthogonal Finetuning enhances control over these models, maintaining semantic generation ability. It enables subject-driven image generation, improves efficiency, and has applications in digital art, advertising,…

ProteinZen: A New Approach to All-Atom Protein Structure Generation The Challenge Generating accurate all-atom protein structures is a complex task in protein design. While current models have improved in creating backbone structures, they struggle to achieve…

Understanding Large Language Models (LLMs) for Question Generation Large Language Models (LLMs) help create questions based on specific facts or contexts. However, assessing the quality of these questions can be challenging. Questions generated by LLMs often…

Practical Solutions for Building Information Modeling (BIM) Using Advanced Language Models Recent research has shown that large language models (LLMs) can automate wall features in building design software, allowing designers to express their ideas using natural…

Artificial intelligence is revolutionizing video generation, with Google AI introducing VideoPoet. This large language model integrates various video generation tasks, such as text-to-video, image-to-video, and video stylization, using tokenizers for processing. Its unique approach offers the…

The Self-Contrast approach from the Zhejiang University and OPPO Research Institute addresses the challenge of enhancing Large Language Models’ reflective and self-corrective abilities. It introduces diverse solving perspectives, a detailed checklist generation, and demonstrates significant improvements…

This text is a comprehensive guide to 10 common clustering algorithms used for Hierarchical, Partitional, and Density-Based Clustering. For more details, visit Towards Data Science.