Businesses of all sizes can leverage advanced speech AI for competitive edge. From improving customer experiences with tailored virtual assistants …
IoT Worlds – All Right Reserved – 2025
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LoRA reduces the number of parameters necessary to fine-tune models, which helps cut training costs and GPU memory requirements by …
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Artificial IntelligenceMachine Learning
Parameter-Efficient Fine-Tuning (PEFT) for Large Language Models
byPEFT is an approach for improving the performance of large language models on particular downstream tasks by tweaking only a …
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Artificial IntelligenceMachine Learning
Retrieval-Augmented Generation (RAG) Improves the Reliability and Accuracy of Large Language Models
byLarge language models (LLMs) tend to remain “frozen in time”, without current context and may lead to hallucinations. Meta AI …
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Artificial IntelligenceMachine Learning
LangChain – A Framework That Simplifies the Development of Large Language Models
byLangchain is a framework that simplifies application development that utilizes large language models. It contains modules for prompt templates, chains …
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Deep learning models employ complex abstractions to predict data, making them more efficient than traditional machine learning methods. An infant …
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Artificial IntelligenceAutonomous VehicleMachine Learning
Wayve GAIA Model – World’s First Generative AI For Autonomous Vehicles
byWayve has released a technical report detailing its cutting-edge generative world model for autonomy, GAIA-1. Trained on an immense corpus …
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Generative AI is revolutionizing 3D printing workflows by optimizing designs to increase resource efficiency, reduce waste production and create lightweight …
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Multimodal Generative AI uses prompts with images, videos and text as stimuli to generate text-based responses or visual 3D object …
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Variational autoencoders (VAEs) are an advanced neural network architecture used for generative modeling and were first introduced by Diederik P. …