RepCNN: Powerful, micro-sized models for wake word detection
Always-on machine learning models require very low memory and compute consumption. Their restricted parameter count limits the model’s ability to ...
Tag: models
Towards Mamba state-space models for images, videos and time series | by Sascha Kirch | August, 2024
This is part 1 of my new multi-part series. Towards spatial Mamba state models for images, videos and time series.Is ...
Google Pixel 9 range: specifications and features comparison of the four models
FlagWhite, black, green, pink.White, black, hazelnut, light pink.White, black, hazelnut, light pink.White, blackDimensions (mm)152.8 high x 72 wide x 8.5 ...
LessonPlanner: A tool to improve the effectiveness of novice teachers by integrating major language models with structured pedagogical strategies to improve the quality of lesson planning
The integration of advanced educational technology has opened up new avenues for improving teaching effectiveness, particularly through the use of ...
Llama 3.1 70B vs Llama 3 70B: Which is Better?
Introduction On July 23, 2024, Meta launched its latest flagship model, the Llama 3.1 405B, along with smaller variants: the ...
Mutual Self-Playing Reasoning (rStar): A new AI approach that boosts the reasoning ability of small language models during inference without fine-tuning
Large language models (LLMs) have made significant progress in various applications, but they continue to face substantial challenges in complex ...
Transformer Explainer: An innovative web-based tool for interactive learning and visualization of complex AI models for non-experts
Transformers are a revolutionary innovation in ai, particularly in natural language processing and machine learning. Despite their widespread use, the ...
LLaVA-OneVision: A family of large open multimodal models (LMMs) to simplify visual task transfer
A key goal in ai development is the creation of general-purpose assistants that use large multimodal models (LMMs). Creating ai ...
Building algorithm-independent models with Mlflow | by Mena Wang, PhD | August 2024
Does this sound interesting? If so, this article is here to help you get started. mlflow.pyfunc. First, let's look at ...
KGLens: Towards efficient and effective knowledge exploration of large language models with knowledge graphs
This article was accepted at the Workshop Towards Knowledgeable Language Models 2024. Extensive language models (LLMs) can hallucinate facts, while ...
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