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Deep Learning vs. Neural Networks: A Detailed Comparison

Pickl AI

Summary: Deep Learning vs Neural Network is a common comparison in the field of artificial intelligence, as the two terms are often used interchangeably. Introduction Deep Learning and Neural Networks are like a sports team and its star player. Deep Learning Complexity : Involves multiple layers for advanced AI tasks.

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How to Become a Generative AI Engineer in 2025?

Towards AI

Last Updated on January 29, 2025 by Editorial Team Author(s): Vishwajeet Originally published on Towards AI. How to Become a Generative AI Engineer in 2025? From creating art and music to generating human-like text and designing virtual worlds, Generative AI is reshaping industries and opening up new possibilities.

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From Keyword Search to OpenAI’s Deep Research: How AI is Redefining Knowledge Discovery

Unite.AI

The advent of AI, followed by the rise of generative AI, and now agentic AI, has allowed machines to retrieve information, synthesize and analyze it. The latest breakthrough in this journey is OpenAI's Deep Research , a powerful tool designed to handle multi-step research tasks independently.

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LogLLM: Leveraging Large Language Models for Enhanced Log-Based Anomaly Detection

Marktechpost

However, traditional deep learning methods often struggle to interpret the semantic details in log data, typically in natural language. The study reviews approaches to log-based anomaly detection, focusing on deep learning methods, especially those using pretrained LLMs. higher than the best alternative, NeuralLog.

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Digging Into Various Deep Learning Models

Pickl AI

Summary: Deep Learning models revolutionise data processing, solving complex image recognition, NLP, and analytics tasks. Introduction Deep Learning models transform how we approach complex problems, offering powerful tools to analyse and interpret vast amounts of data. With a projected market growth from USD 6.4

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Generative AI versus Predictive AI

Marktechpost

AI and ML are expanding at a remarkable rate, which is marked by the evolution of numerous specialized subdomains. Recently, two core branches that have become central in academic research and industrial applications are Generative AI and Predictive AI.

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BEAL: A Bayesian Deep Active Learning Method for Efficient Deep Multi-Label Text Classification

Marktechpost

While deep learning models have achieved state-of-the-art results in this area, they require large amounts of labeled data, which is costly and time-consuming. Active learning helps optimize this process by selecting the most informative unlabeled samples for annotation, reducing the labeling effort.