‘Let’s Go Shopping (LGS)’ Dataset: A Large-Scale Public Dataset with 15M Image-Caption Pairs from Publicly Available E-commerce Websites

The text highlights the emergence of large language models (LLMs) and the challenges in evaluating their performance in real-world scenarios. It introduces Chatbot Arena, a platform developed by researchers from UC Berkeley, Stanford, and UCSD, which…

Transformative Power of Graph Neural Networks (GNNs) Graph Neural Networks are changing the game in various real-world applications, such as: Corporate finance risk management Local traffic prediction However, a key challenge is their reliance on available…

This post showcases fine-tuning a large language model (LLM) using Parameter-Efficient Fine-Tuning (PEFT) and deploying the fine-tuned model on AWS Inferentia2. It discusses using the AWS Neuron SDK to access the device and deploying the model…

Understanding the Challenge of AI Reasoning A key challenge in AI research is creating models that can efficiently combine fast, intuitive reasoning with slower, detailed reasoning. Humans use two thinking systems: System 1 is quick and…

Advancements in Healthcare AI Recent developments in healthcare AI, such as medical LLMs and LMMs, show promise in enhancing access to medical advice. However, many of these models primarily focus on English, which limits their effectiveness…

Google Research, Google DeepMind, and the University of Waterloo have introduced SWIM-IR, a synthetic retrieval training dataset for multilingual retrieval models. Using the SAP method, the dataset allows for fine-tuning of dense retrieval models without human…

Decision trees are often replaced with random forests, but this prioritizes a “black box” algorithm. Decision trees provide intuitive results and allow for trade-off comparisons and process improvement. To improve decision tree performance, principal component analysis…

Understanding Hallucinations in Language Models As language models improve, they are increasingly used for complex tasks like answering questions and summarizing information. However, with more challenging tasks comes a higher risk of errors, known as hallucinations.…

The EU’s historic AI Act established a legal framework with varying levels of scrutiny based on risk categories. Concerns were raised about its impact on European competitiveness, especially for generative AI. Public reactions and industry responses…

Practical AI Solutions for Complex Reasoning Tasks Enhancing LLM Capabilities with Sibyl Framework Discover the power of Sibyl, an AI agent framework designed to enhance the capabilities of Large Language Models (LLMs) in complex reasoning tasks.…

Practical Solutions for Biological Research Challenges in Integrating Language Models into Biological Research The integration of language models into biological research presents a significant challenge due to the differences between natural language and biological sequences. Adapting…

Understanding Large Language Models (LLMs) Large language models (LLMs) are powerful tools that excel in various tasks. Their performance improves with larger sizes and more training, but we need to understand how the resources used during…

Advancements in Neuroimaging with AI Deep Learning in Medical Imaging Deep learning is making strides in neuroimaging analysis, particularly with 3D CNNs that excel in handling volumetric images. However, gathering and annotating medical data can be…

Revolutionizing Video Generation with DiTCtrl Generative AI has transformed how we create videos, allowing for high-quality content with minimal human effort. By using multimodal frameworks, we combine various AI models to efficiently produce diverse and coherent…

Humboldt: A Specification-based System Framework for Generating a Data Discovery UI from Different Metadata Providers Practical Solutions and Value Enhancing Data Discovery Data discovery has become increasingly challenging due to the proliferation of data analysis tools…

This week at the CES tech expo, AI took center stage as companies unveiled new products. Standout releases included LG and Samsung’s mobile smart home AI assistants and NVIDIA’s new chips for local AI processing. Additionally,…

The text discusses the growing influence of large language models (LLMs) on information extraction (IE) in natural language processing (NLP). It highlights research on generative IE approaches utilizing LLMs, providing insights into their capabilities, performance, and…

Understanding Neural Networks and Their Limitations Neural networks have been limited by their fixed structures and parameters after training. This makes it hard for them to adapt to new situations. When deploying these models in different…