Convolutional Neural Networks For Beginners

Enhance Knowledge-to-Text Generation with TWEAK Neural knowledge-to-text generation models often struggle to faithfully generate descriptions for the input facts. To address this, we propose a novel decoding method, TWEAK (Think While Effectively Articulating Knowledge), which reduces…

In the realm of software development, text-to-code AI models are revolutionizing coding, enabling developers to articulate programming needs in natural language and have AI systems generate functional code. Salesforce CodeGen facilitates conversational AI programming, CodeGeeX leverages…

“The Book of Why” Chapters 1&2 are part of the Read with Me series. For more information, visit Towards Data Science.

Machine learning is revolutionizing technical fields and information access online. Mozilla introduces MemoryCache, an innovative browser add-on, utilizing on-device AI to enhance privacy and create personalized browsing experiences. This tool allows users to store web pages…

τ-bench: A New Benchmark to Evaluate AI Agents’ Performance and Reliability in Real-World Settings with Dynamic User and Tool Interaction Practical Solutions and Value Current language agent benchmarks fall short in assessing their ability to interact…

Practical Solutions and Value of JEST AI Training Method Enhancing Large-Scale Learning with JEST Data curation is crucial for superior performance in language, vision, and multimodal modeling. Efficient curation with JEST method offers significant improvements in…

Understanding Large Language Models (LLMs) Large Language Models (LLMs) are powerful tools that excel in complex tasks like math problem-solving and coding. Research shows that longer reasoning chains can lead to better accuracy. However, these models…

RAG Foundry: A Practical Solution for Retrieval-Augmented Generation Systems Overview Intel Labs introduces RAG Foundry, an open-source Python framework designed to address the challenges of Retrieval-Augmented Generation (RAG) systems. It provides a unified workflow for data…

Practical Solutions and Value of DCMAC in Multi-Agent Reinforcement Learning Introduction Collaborative Multi-Agent Reinforcement Learning (MARL) is crucial in various domains like traffic signal control and swarm robotics. However, challenges such as non-stationarity and scalability hinder…

Introduction to Leopard: A New AI Solution In recent years, multimodal large language models (MLLMs) have transformed how we handle tasks that combine vision and language, such as image captioning and object detection. However, existing models…

A team from the Beijing Academy of AI and Gaoling School of AI at Renmin University introduced Extensible Tokenization, a breakthrough method expanding Large Language Models’ (LLMs) capacity without increasing their context windows. It addresses limitations…

Nvidia researchers have developed Tied-LoRA, a technique that enhances the parameter efficiency of the Low-rank Adaptation (LoRA) method. By using weight tying and selective training, Tied-LoRA achieves an optimal balance between performance and trainable parameters. Experimental…

Billionaire Vinod Khosla, an early AI backer, predicts that AI will have a profound impact on the global economy. He anticipates significant deflation over the next twenty-five years, with traditional economic gauges becoming less relevant. Khosla’s…

Researchers have developed Wonder3D, an innovative method for generating high-quality 3D models from single-view images. It addresses the limitations of existing approaches, such as time-consuming optimization and low-quality results. Wonder3D utilizes a cross-domain attention mechanism and…

Assessing LLMs’ Understanding of Symbolic Graphics Programs in AI Practical Solutions and Value Large language models (LLMs) are being evaluated for their ability to understand symbolic graphics programs. This research aims to enhance LLMs’ interpretation of…

Concerns About AI Misuse and Security The rise of AI capabilities brings serious concerns about misuse and security risks. As AI systems become more advanced, they need strong protections. Researchers have found key threats like cybercrime,…

Advancements in Natural Language Processing (NLP) Natural Language Processing (NLP) has made great strides thanks to deep learning, particularly through innovations like word embeddings and transformer architectures. A key method now is self-supervised learning, which uses…

Researchers from the Shanghai AI Lab and MIT have presented the Hierarchically Gated Recurrent Neural Network (HGRN) for efficient sequence modeling. The HGRN integrates forget gates to better handle long-term dependencies in tasks like language modeling…

XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by Salesforce AI Research If you want to evolve your company with AI, stay competitive, and use XGen-MM: A Series of Large Multimodal Models (LMMS) Developed by…

Practical AI Solutions for Your Company Improving Performance with In-Context Abstraction Learning (ICAL) Learn how ICAL can help your business stay competitive by enhancing your AI capabilities. Key Steps to Evolve with AI Discover how AI…