Introducing Quanto: HuggingFace’s Python Quantization Toolkit for Efficient Deep Learning Model Evaluation with Reduced...
Introducing Quanto: Optimizing Deep Learning Models for Resource-Constrained Devices
HuggingFace Researchers Introduce Quanto: A PyTorch Quantization Toolkit for Optimizing Deep Learning Models on Resource-Constrained Devices
HuggingFace researchers have introduced Quanto, a Python library...
Ai learns how vision and sound are connected, without human intervention Myth news
People learn naturally to create connections between eyesight and...
INSTRUCTIR: A Novel Benchmark for Evaluating Instruction Following in Information Retrieval Using Machine Learning
Benchmarking Instruction-Following Mechanisms in Information Retrieval with INSTRUCTIR: A Novel Approach for User-Aligned Scenarios
This news story highlights the introduction of a groundbreaking benchmark called INSTRUCTIR by researchers at KAIST. This benchmark...
TAI #143: New Scaling Laws Incoming? Ilya’s SSI Raises at $30bn, Manus Takes AI...
Author(s): Towards AI Editorial Team
Originally published on Towards AI.
What happened this week in AI by Louie
As Ilya Sutskever’s Safe SuperIntelligence (SSI) secures another...
Best Artificial Intelligence AI Courses for Beginners in 2024
Top AI Courses for Beginners to Shift Careers and Gain Skills
The demand for AI skills is on the rise, and with the increasing popularity of large language models (LLMs), it has...
Analyzing Poverty Determinants in Somalia through Machine Learning with 2020 SDHS Data
Exploring Socio-Economic Determinants of Poverty in Somalia: Insights from Descriptive Statistics and Machine Learning Models
The analyzed dataset from the Socioeconomic and Demographic Health Survey (SDHS) 2020 in Somalia provides valuable insights...
AI and Machine Learning are not yet capable of saving the planet
Navigating the Future of Artificial General Intelligence: Challenges and Opportunities in Today's AI Landscape
Artificial General Intelligence (AGI) has long been a topic of fascination and speculation in the tech world. The...
ServiceNow Researchers Suggest Using Machine Learning to Implement a Retrieval-Augmented LLM for Improved Generalization...
Enhancing Workflow Generation with Retrieval-Augmented Generation (RAG) in Large Language Models (LLMs)
Overall, the research conducted by the team at ServiceNow showcases the potential of Retrieval-Augmented Generation (RAG) in improving the quality...
New Machine Learning Technology Enhances Water Data Quality in New York
Implementing HydroCorrect on a Larger Scale: Lessons Learned and Future Plans
NYCDEP Implements HydroCorrect Software on a Larger Scale
In a groundbreaking move, the New York City Department of Environmental Protection (NYCDEP) has...
For AI to Learn More Effectively, Selective Forgetting is Key
Revolutionizing Machine Learning Models: A New Approach to Language Understanding
In a groundbreaking development in the field of artificial intelligence, a team of computer scientists has created a new type of machine...





















