GitHub Actions for Machine Learning Beginners
Image by author GitHub Actions is a powerful feature of the GitHub platform that allows you to automate software development ...
Tag: Machine
This article presents AQLM: a machine learning algorithm that helps in extreme compression of large language models using additive quantization
In the rapidly advancing domain of artificial intelligence, efficiently operating large language models (LLMs) on consumer-grade hardware represents a significant ...
COULER – An AI System Designed for Unified Cloud Machine Learning Workflow Optimization
Machine learning (ML) workflows, essential for driving data-driven innovations, have increased in complexity and scale, challenging previous optimization methods. These ...
Quantum Machine Learning with Python: Kernel Methods and Neural Networks | by Xavier Vasques | Mar, 2024
Photo by Annamária Borsos (used with permission)Quantum Machine Learning (QML) represents a fascinating convergence of quantum computing and machine learning ...
Statistics for Machine Learning: What you need to know to become a certified expert
Sponsored Content What roles and skills are needed in Statistics for Machine Learning? The most effective professionals in ...
Google DeepMind researchers present multi-step coherence models: a machine learning approach that balances speed and quality in AI sampling
Diffusion models have gained importance in image, video, and audio generation, but their sampling process is computationally expensive compared to ...
This Tencent AI article introduces ELLA: a machine learning method that equips current text-to-image diffusion models with next-generation large language models without LLM and U-Net training.
With diffusion models, the field of text-to-image generation has made significant progress. However, current models frequently use CLIP as a ...
Anova Precision Cooker Nano sous vide machine drops to all-time low of $60
The Anova Precision Cooker Nano sous vide machine which is a record price for the kitchen appliance. This equates to ...
Revolutionizing LLM Training with GaLore: A New Machine Learning Approach to Improve Memory Efficiency Without Compromising Performance
Training large language models (LLMs) has posed a significant challenge due to their memory-intensive nature. The conventional approach of reducing ...
This UC Berkeley AI paper presents ArCHer: an innovative machine learning framework to advance multi-turn decision making in large language models
The quest to increase the decision-making capacity of machines has led to innovative advances, particularly in reinforcement learning (RL). Fundamental ...
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