Rabbit now lets you teach R1 to perform tasks for you
The rabbit is <a target="_blank" href="https://www.rabbit.tech/newsroom/teach-mode-beta">implement “teaching mode” on your R1 devices, allowing you to create an ai agent that ...
Tag: tasks
How to reduce Python execution time for demanding tasks | by Jiayan Yin | November 2024
Practical Techniques to Accelerate Heavy Workloads with GPU Optimization in PythonPhoto by Matthew Schwartz in unpackOne of the biggest challenges ...
This Machine Learning Paper Transforms the Efficiency of Embedded AI: New Scaling Laws to Optimize Model and Dataset Ratios in World Modeling and Behavior Cloning Tasks
Embodied artificial intelligence (ai) involves the creation of agents that operate within physical or simulated environments, autonomously executing tasks based ...
A Deep Dive into Small Language Models: Efficient Alternatives to Large Language Models for Real-Time Processing and Specialized Tasks
ai has made significant progress in developing large language models (LLMs) that excel at complex tasks such as text generation, ...
Efficient function calls in small-scale LLM: a turning point for AI reasoning tasks
Recent advances in large language models (LLM) have demonstrated exceptional natural language generation and understanding capabilities. Research has explored the ...
Leopard: A multimodal large language model (MLLM) designed specifically to handle vision and language tasks involving multiple text-rich images
In recent years, multimodal large language models (MLLM) have revolutionized vision-language tasks, improving capabilities such as image captioning and object ...
Stanford researchers present ZIP-FIT: a novel data curation AI framework that chooses compression over embeddings to tune models on domain-specific tasks
Selecting data for domain-specific art is a complex art, especially if we want to get the desired results from language ...
UC Berkeley researchers propose DocETL: a declarative system that optimizes complex document processing tasks using LLM
Large language models (LLMs) have gained significant attention in data management, with applications spanning data integration, database tuning, query optimization, ...
This AI article explores whether human visual perception can help computer vision models outperform on generalized tasks.
Humans possess innately extraordinary perceptual judgments, and when computer vision models are aligned with them, model performance can be greatly ...
4M-21: a universal vision model for dozens of tasks and modalities
*Equal taxpayers Current basic multimodal and multitasking models, such as 4M or UnifiedIO, show promising results, but in practice their ...
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