Chevy dealer’s chatbot tricked into selling car for $1

Revolutionizing Video Modeling with AI Understanding Autoregressive Pre-Training Autoregressive pre-training is changing the game in machine learning, especially for processing sequences like text and videos. This method effectively predicts the next elements in a sequence, making…

This article discusses how organizations can use Amazon Comprehend, an AI/ML service, to build and optimize custom classification models. It provides guidelines on data preparation, model creation, and model tuning. The article also explores techniques for…

Transform Your Business with WisdomAI: AI-Powered Analytics Revolutionizing Operations with Data Insights WisdomAI is an AI startup that empowers companies to make informed decisions by leveraging data insights. It simplifies the process of interacting with data,…

Practical Solutions for Deploying Large Language Models (LLMs) Addressing Latency with Weight-Only Quantization Large Language Models (LLMs) face latency issues due to memory bandwidth constraints. Researchers use weight-only quantization to compress LLM parameters to lower precision,…

Explore regularization methods to enhance Neural Network performance and avoid overfitting. Read more at Towards Data Science.

This article lists over 15 AI tools for developers as of December 2023, highlighting their key features. These tools assist in coding, debugging, generating documentation, managing snippets, creating AI agents, designing visuals, and more. They include…

Language models like GPT and LLaMa have shown impressive performance but struggle with tasks involving tables. To address this, researchers propose table-tuning, which involves training models like GPT-3.5 and ChatGPT with table-related tasks. These table-tuned models,…

The AI in Finance Summit New York 2024, on April 24-25 at etc.venues 360 Madison, brings together industry leaders and innovators to discuss AI’s role in finance. With a focus on topics like deep learning, NLP,…

This text discusses the semantics of slowly changing dimension type 2 (SCD2) techniques in dimensional modeling. It covers the importance of choosing appropriate reference dates and the impact of different row-versioning methods on access patterns. Three…

This week in AI news: – Oxford University permits AI use in Economics and Management courses, sparking debate. – Google’s deceptive Gemini marketing video raises questions about authenticity. – LimeWire returns with an AI-generated music platform,…

Challenges in Evaluating AI Capabilities The mismatch between human expectations of AI capabilities and the actual performance of AI systems can hinder the effective utilization of large language models (LLMs). Incorrect assumptions about AI capabilities can…

Revolutionizing Recurrent Neural Networks RNNs: How Test-Time Training TTT Layers Outperform Transformers Introduction Self-attention mechanisms are excellent at processing extended contexts, but have high computational costs. Recurrent Neural Networks (RNNs) are computationally efficient but perform poorly…

Optimizing Agent Planning: A Parametric AI Approach to World Knowledge Large Language Models (LLMs) have shown promise in physical world planning tasks, but often fail to understand the real world, leading to trial-and-error behavior. Inspired by…

The study explores the effectiveness of debates in enabling “weaker” judges to evaluate “stronger” language models. It proposes a novel method of using less capable models to guide more advanced ones, leveraging critiques generated within the…

StabilityAI and Tripo AI have introduced TripoSR, an image-to-3D model addressing the challenge of quick 3D reconstruction from single images. Using a transformer-based architecture, TripoSR efficiently generates detailed and accurate 3D representations, outperforming other methods in…