Notizie
Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models
arXiv:2505.17826v2 Announce Type: replace-cross Abstract: Trinity-RFT is a general-purpose, unified and easy-to-use framework designed for...
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arXiv:2510.07118v2 Announce Type: replace Abstract: Instruction tuning is essential for aligning large language models (LLMs)...
Treating enterprise AI as an operating layer
There’s a fault line running through enterprise AI, and it’s not the one getting the...
Transforming Wearable Data into Personal Health Insights using Large Language Model Agents
arXiv:2406.06464v3 Announce Type: replace-cross Abstract: Deriving personalized insights from popular wearable trackers requires complex numerical...
Transferring Expert Cognitive Models to Social Robots via Agentic Concept Bottleneck Models
arXiv:2508.03998v1 Announce Type: new Abstract: Successful group meetings, such as those implemented in group behavioral-change...
TransEvalnia: A Prompting-Based System for Fine-Grained, Human-Aligned Translation Evaluation Using LLMs
Translation systems powered by LLMs have become so advanced that they can outperform human translators...
Trajectory Releases a Concurrent Multi-LoRA Training Stack for Continual Learning, Reporting a 2.81× Experiment-Throughput Gain
Trajectory’s concurrent multi-LoRA stack reports a 2.81× experiment-throughput gain over single-tenant RL, with all code...
Traits Run Deep: Enhancing Personality Assessment via Psychology-Guided LLM Representations and Multimodal Apparent Behaviors
arXiv:2507.22367v1 Announce Type: new Abstract: Accurate and reliable personality assessment plays a vital role in...
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction
arXiv:2509.03020v1 Announce Type: new Abstract: Large language models (LLMs) have increasingly been explored as powerful...
Training Language Model Agents to Find Vulnerabilities with CTF-Dojo
arXiv:2508.18370v1 Announce Type: cross Abstract: Large language models (LLMs) have demonstrated exceptional capabilities when trained...
Training a Model on Multiple GPUs with Data Parallelism
This article is divided into two parts; they are: • Data Parallelism • Distributed Data...
Train, Serve, and Deploy a Scikit-learn Model with FastAPI
FastAPI has become one of the most popular ways to serve machine learning models because...
