A Survey of Advanced Retrieval Algorithms in Ad and Content Recommendation Systems: Mechanisms and Challenges

Machine Learning-Powered Augmented Reality in Education Practical Solutions and Value Machine learning (ML) is advancing augmented reality (AR) in education, enhancing object visualizations and interaction capabilities. ML models like support vector machines, CNNs, and ANNs are…

The text is part 2 of a series on strategic data analysis. For further details, read on Towards Data Science.

Speech recognition technology continually seeks advancements in algorithm and models for improved accuracy and efficiency across languages and dialects. Carnegie Mellon University and Honda Research Institute Japan introduce OWSM v3.1, leveraging the E-Branchformer architecture to achieve…

Data-Free Knowledge Distillation (DFKD) and One-Shot Federated Learning (FL) Solutions Data-Free Knowledge Distillation (DFKD) DFKD methods transfer knowledge without real data, using synthetic data generation. Non-adversarial methods create data resembling the original, while adversarial methods explore…

Relari, a start-up, addresses the challenge of inadequate data for Generative AI testing. By providing a platform to create synthetic datasets and stress test AI models, it aims to improve trustworthiness and accuracy. YCombinator backs Relari,…

The World’s Smallest Data Pipeline Framework is a simple and fast foundation for data pipelines with advanced functionality. It outlines a process for cleaning and transforming data, and introduces the concept of a pipeline to streamline…

AgentGen: Automating Environment and Task Generation to Enhance Planning Abilities Practical Solutions and Value Large Language Models (LLMs) have revolutionized artificial intelligence, especially in agent-based systems. However, a major challenge is the labor-intensive process of creating…

AI development is evolving from static, task-centric models to dynamic, adaptable agent-based systems suitable for various applications. Recent research proposes the Interactive Agent Foundation Model, a multi-modal system with unified pre-training to process text, visual data,…

Practical Solutions for Optimizing Large-Scale Mixed Platoons Addressing Traffic Flow Challenges The platooning technology can optimize traffic flow, increase energy economy, and expand road capacity. However, issues arise in large-scale mixed platoons due to vehicle heterogeneity,…

Challenges in Reinforcement Learning Reinforcement Learning (RL) is popular across many fields, but it has some key challenges: Sample Inefficiency: Algorithms like PPO need many attempts to learn basic actions. Off-Policy Limitations: Methods like SAC and…

OpenAI’s CEO, Sam Altman, is orchestrating a staggering funding initiative to raise between $5-7 trillion. This investment aims to expand high-performance AI hardware production to address the skyrocketing demand. Altman is engaging potential investors and government…

A new pre-print study has shown GPT-4’s potential to aid in treating stroke patients. Analysing data from 100 patients, the AI’s treatment recommendations closely aligned with expert neurologists and real-world medical practice, demonstrated by a high…

Understanding Vision-Language Models (VLMs) Vision-Language Models (VLMs) are tools that help generate answers to questions about images. However, they often produce answers that sound plausible but are incorrect, a problem known as hallucination. This can reduce…

The text discusses the development of a zero-cost LLM wrapper for corporate context analysis using open-source frameworks. It focuses on mitigating privacy and cost concerns associated with traditional LLM models. The project aims to leverage small…

Introducing Indic-Parler Text-to-Speech (TTS) AI4Bharat and Hugging Face have launched the Indic-Parler TTS system, aimed at improving language inclusivity in AI. This innovative system helps bridge the digital gap in India’s diverse linguistic landscape, allowing users…

Xenova’s text-to-speech client utilizes transformer-based neural networks to generate natural-sounding synthetic speech. It offers high-quality synthetic speech that is indistinguishable from human voice, supports various voices and languages, and allows fine-grained control over speech synthesis. The…

Practical Solutions for Infrastructure Management Challenges and AI Solutions Managing infrastructure systems is vital for sustainability, safety, and economic stability. However, the scale and unpredictability of these networks pose challenges for traditional management techniques. Data-driven approaches…

Neural Magic Releases LLM Compressor: A Novel Library to Compress LLMs for Faster Inference with vLLM Neural Magic has launched the LLM Compressor, a cutting-edge tool for optimizing large language models. It significantly accelerates inference through…

Practical Solutions for Parameter-Efficient Fine-Tuning Techniques Enhancing LoRA with MoRA Parameter-efficient fine-tuning (PEFT) techniques, such as Low-Rank Adaptation (LoRA), reduce memory requirements by updating less than 1% of parameters while achieving similar performance to Full Fine-Tuning…

Researchers from the University of Chicago have developed a tool called Nightshade, which can “poison” AI models that use images without consent. It embeds invisible pixels into an image, corrupting the classification of the image and…