Web Scraping con LLM y ScrapeGraphAI
El web scraping se ha convertido en una herramienta importante y esencial para recopilar información útil de los sitios web ...
Tag: LLM
The Next Frontier in LLM Accuracy | by Mariya Mansurova | Jan, 2025
Accuracy is often critical for LLM applications, especially in cases such as API calling or summarisation of financial reports. Fortunately, ...
MEDEC: a benchmark for detecting and correcting medical errors in clinical notes using LLM
LLMs have demonstrated impressive capabilities in answering medical questions accurately, even surpassing average human scores on some medical exams. However, ...
Revolutionizing LLM Alignment: A Deep Dive into Direct Q-Function Optimization
Aligning large language models (LLMs) with human preferences is an essential task in artificial intelligence research. However, current reinforcement learning ...
Meet HuatuoGPT-o1: a medical LLM designed for advanced medical reasoning
Medical artificial intelligence (ai) holds great promise, but comes with its own set of challenges. Unlike simple math problems, medical ...
This AI paper presents XMODE: an explainable multimodal data exploration system powered by LLM to improve accuracy and efficiency
Researchers are increasingly focused on creating systems that can handle multimodal data exploration, which combines structured and unstructured data. This ...
Meet SemiKong – the world's first semiconductor-focused open source LLM
The semiconductor industry enables advances in consumer electronics, automotive systems, and cutting-edge computing technologies. Semiconductor production involves sophisticated processes that ...
Google DeepMind Introduces Differentiable Cache Augmentation: A Coprocessor-Enhanced Approach to Boost LLM Reasoning and Efficiency
Large language models (LLMs) are essential for solving complex problems in the domains of language processing, mathematics, and reasoning. Improvements ...
Building Confidence in LLM Answers: Highlighting Source Texts in PDF Files | by Angela & Kezhan Shi | December 2024
100% accuracy isn't everything: helping users navigate the document is the real valueSo you are creating a RAG system or ...
Meet ONI: A Distributed Architecture for Simultaneous Reinforcement Learning Policies and Intrinsic Reward Learning with LLM Feedback
Reward functions play a crucial role in reinforcement learning (RL) systems, but their design presents significant challenges in balancing the ...
