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How does a GPT AI model work and generate text responses?

This guide provides an overview of the inner workings of an AI Generative Pretrained Transformer or GPT explaining how text can be predicted

Generative-pretrained-transformers , Generative-pre-trained-transformer , Attention-mechanism ,

Mamba Explained

Is Attention all you need? Mamba, a novel AI model based on State Space Models (SSMs), emerges as a formidable alternative to the widely used Transformer models, addressing their inefficiency in processing long sequences.

Steve-jobs , Foundation-model-backbones , Cocktail-party-problem , Graph-neural-networks , Research-scientist , Cocktail-party , State-space-model , Language-models , State-space-models , Attention-isnt-all-you , Attention-mechanism , Sliding-window-attention

"TP-YOLO: A Lightweight Attention-Based Architecture for Tiny Pest Dete" by Yang Di, Son Lam Phung et al.

Automatic detection of agricultural pests is a challenging problem that is of great interest in biosecurity and precision agriculture. The detection model must cope well with the dense distribution of small-sized pests in complex backgrounds. This paper proposes a lightweight attention-based network, called TP-YOLO, for tiny pest detection. We introduce two attention-based components, namely Contextual Transformer and Omni-Dimensional Dynamic Convolution modules, to enhance feature extraction. The proposed modules are integrated into the YOLOv8 backbone, a state-of-the-art baseline for object detection. This paper also introduces a new benchmark dataset consisting of 1,600 images of Khapra beetles for objective evaluation of pest detection algorithms. Extensive experiments on two datasets indicate that TP-YOLO achieves competitive detection accuracy while having a significantly smaller model size and fast prediction time. We have made the code available to the public at: https://github.com/yangdi-cv/TP-YOLO.

Contextual-transformer , Omni-dimensional-dynamic-convolution , Attention-mechanism , Nn , Est-detection , Ision-transformers , Olo ,

Mamba Explained

The State Space Model taking on Transformers

Nathan-labenz , Steve-jobs , Foundation-model-backbones , Graph-neural-networks , Cocktail-party-problem , State-space-model , State-space-models , Language-models , Attention-isnt-all-you , Attention-mechanism , Sliding-window-attention , Control-theory

Generative AI: Everything you need to know

Generative AI: Everything you need to know
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Google-bard , Nvidia-style , Nvidia , Youtube , Generative-adversarial-networks , Instagram , Bing-image-creator , Adversarial-networks , Wojciech-mormul , Diffusion-probabilistic , Forward-diffusion , Attention-mechanism

Mathematicians build 'attentive' neural network that recognizes breast cancer with 99.6% accuracy

Mathematicians build 'attentive' neural network that recognizes breast cancer with 99.6% accuracy
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Looking for AI Upskilling? This Govt-NASSCOM Initiative is Offering Over 80 Free & Paid Courses

The goal behind the Future Skill Prime initiative and the courses being offered is to make learning accessible to all and enhance the skills of India's workforce in emerging technologies

India , Ibm , Google , Pg-program-in-data-science , Microsoft , Neural-networks , Certification-program-in-generative , Accenture , Oracle , Ministry-of-electronics-it-meit , Artificial-intelligence

"LexiFuse+: A Unified One-Class Solution for Imbalanced Short-Text Clas" by Saugata Bose and Guoxin Su

Introducing LexiFuse+: a semi-supervised model merging lexicon features, BERT transfer learning, and one-class classifiers to detect anomalous content in short texts. It tackles challenges of informal text and imbalanced datasets, excelling in hate speech detection. By leveraging one-class classifiers in a fully deep fine-tuned network trained with unlabeled data, LexiFuse+ surpasses base models.

Attention-mechanism , Ine-tuning , Atebase , Exicon-based-weighted-feature-extraction-lwfe- , Ne-class-classifier , Re-trained-language-model-plm- , Hort-text , Ransfer-learning ,

DSU Awards Graduate Research Initiative Grants

DSU Awards Graduate Research Initiative Grants
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10 free Google Cloud courses to help you get to grips with generative AI

For those who want to learn more about generative AI but are strapped for time and cash, Google Cloud is offering 10 one-day courses.

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