From contradictions to coherence: logical alignment in AI models
Large Language Models (LLM) It aims to align with human preferences, ensuring reliable and trustworthy decision making. However, these models ...
Tag: models
Embedding Models and Applications with Vertex AI
Vectors are the basis for the majority of the most complex artificial intelligence applications, including semantic search or anomaly detection. ...
Evaluate large language models for your machine translation tasks on AWS
Large language models (LLMs) have demonstrated promising capabilities in machine translation (MT) tasks. Depending on the use case, they are ...
Efficiently build and tune custom log anomaly detection models with Amazon SageMaker
In this post, we walk you through the process to build an automated mechanism using amazon SageMaker to process your ...
How to distinguish between two regression models with statistical significance | by LucianoSphere (Luciano Abriata, PhD) | January 2025
Digging into F-test for nested models with algorithms, examples and codeWhen analyzing data, it is often necessary to compare two ...
Predictive maintenance models with a focus on class balance | by Leo Anello | January 2025
From model creation to implementation: creating a technology-optimized predictive maintenance systemNow I am going to explain to you a project ...
AutoDroid-V2: Leveraging Small Language Models for Automated Mobile GUI Control
Large Language Models (LLM) and Vision Language Models (VLM) have revolutionized the automation of mobile device control through natural language ...
This AI article from Tencent AI Lab and Shanghai Jiao Tong University explores overthinking in o1-like models for smarter computing
Large language models (LLMs) have become fundamental tools for tackling complex reasoning and problem-solving tasks. Among them, o1-like models, inspired ...
Researchers from MIT, Sakana AI, OpenAI and the Swiss AI Lab IDSIA propose a new algorithm called automated search for artificial life (ASAL) to automate the discovery of artificial life using basic vision-language models
Artificial Life (ALife) research explores the emergence of realistic behaviors through computational simulations, providing a unique framework to study "life ...
CMU researchers introduce TNNGen: an AI framework that automates the design of temporal neural networks (TNNs) from PyTorch software models to post-design netlists
The design of neuromorphic sensory processing units (NSPUs) based on temporal neural networks (TNNs) is a very challenging task due ...
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