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Defect detection in high-resolution imagery using two-stage Amazon Rekognition Custom Labels models
The text discusses the challenges of building anomaly detection models using high-resolution imagery and proposes a two-stage approach to overcome these challenges. It describes the training process for a Rekognition Custom Labels model and presents the results of experiments conducted using one-stage and two-stage models to detect missing holes in PCBs. The two-stage model outperformed…
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Democratizing AI governance: an Anthropic experiment
Anthropic, the company behind the AI chatbot Claude, conducted an experiment involving around 1,000 Americans to explore the idea of letting ordinary people shape the rules that govern AI behavior. By allowing public input, Anthropic aims to bridge the gap between public opinion and the AI industry. The experiment resulted in a “Collective Constitutional AI”…
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DALL·E 3 is now available in ChatGPT Plus and Enterprise
A safety mitigation stack was created for the wider release of DALL·E 3. Updates on provenance research will be shared.
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LLMs can infer personal data from your chat interactions
AI models like GPT-4, used by companies such as OpenAI and Meta, can infer personal information from our online chats and comments, even when we think we’re not revealing anything personal. Researchers found that GPT-4 could accurately infer attributes like age, education, sex, occupation, and more from Reddit comments. This has implications for privacy and…
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I Got Promoted!
The text explains how to summarize text effectively and accurately.
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Topological Generalisation with Advective Diffusion Transformers
A new diffusion-based continuous GNN model has been developed that improves generalization capabilities.
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Researchers from Stanford, NVIDIA, and UT Austin Propose Cross-Episodic Curriculum (CEC): A New Artificial Intelligence Algorithm to Boost the Learning Efficiency and Generalization of Transformer Agents
A group of researchers has developed an algorithm known as Cross-Episodic Curriculum (CEC) to address challenges in applying data-hungry algorithms, like transformer models, to fields with limited data. CEC incorporates cross-episodic experiences into a curriculum to improve learning and generalization efficiency. The algorithm has been successfully applied to solving challenges in multi-task reinforcement learning and…
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How to Make Money With TikTok Shop Dropshipping
This article introduces the business model of making money through TikTok Dropshipping. Sebastian Esqueda, a successful dropshipper, shares his exact model on the WGMI Media Podcast. The article explains the concept of TikTok Shop, its affiliate program for content creators, and provides a step-by-step guide on how to create a TikTok Shop. The strategy involves…
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New index shows AI models are becoming less transparent
Researchers from Stanford, MIT, and Princeton created the Foundation Model Transparency Index (FMTI) to benchmark the transparency of AI companies and their models. Meta’s Llama 2 ranked first with a score of 54%, followed closely by OpenAI with 48%. The index highlights the need for greater transparency in AI solutions and helps organizations make informed…
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Evaluating social and ethical risks from generative AI
Generative AI systems have various applications, including writing books and creating graphic designs. However, evaluating their ethical and social risks is crucial. This paper proposes a three-layered framework for evaluating these risks, focusing on AI system capability, human interaction, and systemic impacts. There are three main gaps in safety evaluations: context, specific risks, and multimodality.…