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  • Developments in Family of Claude Models by Anthropic AI: A Comprehensive Review
    by Aswin Ak on May 26, 2024 at 11:00 am

    Anthropic AI’s Claude family of models represents a great challenging feat for GPT models in AI technology. With the release of the Claude 3 series, Anthropic has expanded its models’ capabilities and performance, catering to various applications from text generation to advanced vision processing. Let’s have an overview of these developments, highlighting the advancements and The post Developments in Family of Claude Models by Anthropic AI: A Comprehensive Review appeared first on MarkTechPost.

  • Evaluating Time Series Anomaly Detection: Proximity-Aware Time Series Anomaly Evaluation (PATE)
    on May 26, 2024 at 10:30 am

    Anomaly detection in time series data is a crucial task with applications in various domains, from monitoring industrial systems to detecting fraudulent activities. The intricacies of time series anomalies, including early or delayed detections and varying anomaly durations, are not well captured by conventional metrics like Precision and Recall, intended for independent and identically distributed The post Evaluating Time Series Anomaly Detection: Proximity-Aware Time Series Anomaly Evaluation (PATE) appeared first on MarkTechPost.

  • Top Courses on Data Structures and Algorithms
    by Shobha Kakkar on May 26, 2024 at 10:00 am

    Data structures and algorithms are crucial for efficient problem-solving in computer science, enabling effective data organization and manipulation for fast, reliable software. Learning them enhances your coding skills and prepares you for technical interviews and real-world challenges. This article lists the top data structure and algorithms courses to help you excel in software development and The post Top Courses on Data Structures and Algorithms appeared first on MarkTechPost.

  • Google AI Propose LANISTR: An Attention-based Machine Learning Framework to Learn from Language, Image, and Structured Data
    by Pragati Jhunjhunwala on May 26, 2024 at 9:00 am

    Google Cloud AI Researchers have introduced LANISTR to address the challenges of effectively and efficiently handling unstructured and structured data within a framework.  In machine learning, handling multimodal data—comprising language, images, and structured data—is increasingly crucial. The key challenge is the issue of missing modalities in large-scale, unlabeled, and structured data like tables and time The post Google AI Propose LANISTR: An Attention-based Machine Learning Framework to Learn from Language, Image, and Structured Data appeared first on MarkTechPost.

  • How to Fine-tune GPT-3.5 for Outreach Emails
    by Felix Wunderlich on May 26, 2024 at 8:30 am

    In this step-by-step guide, you will learn about fine-tuning an AI email outreach assistant by preparing a targeted dataset, training the model, testing its outputs, and integrating it into your workflow for optimized communication using the FinetuneDB platform. Collect and Prepare Fine-tuning Datasets The first step in creating an AI email outreach assistant involves collecting The post How to Fine-tune GPT-3.5 for Outreach Emails appeared first on MarkTechPost.