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3,573 papers
This is a major release. The most important feature is that local LLM models can now be used (and are automatically installed when required). This allows you to experiment with Plainbook locally and at no cost, in case you don't have an API key. Of course, the local model is not as good as cloud models, but it can stil...
This is a major release. The most important feature is that local LLM models can now be used (and are automatically installed when required). This allows you to experiment with Plainbook locally and at no cost, in case you don't have an API key. Of course, the local model is not as good as cloud models, but it can stil...
The most significant factors influencing health care costs were age, gender, type of cardiovascular procedure, comorbidities, length of hospitalization, and complications, while machine learning models showed superior accuracy in some studies compared with traditional regression methods for predicting healthcare costs...
BACKGROUND Frequent callers and users of ambulance services represent a small but complex patient cohort who account for a disproportionate number of emergency medical service contacts. Although frequent use has been examined in emergency department settings, less is known about frequent use in the out-of-hospital ambu...
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RATIONALE Loss of skeletal muscle mass and function is a common, debilitating complication of kidney failure for individuals undergoing dialysis. It contributes to reduced physical capacity, quality of life (QoL), and increased death. Exercise training can mitigate these effects, but participation is often limited by c...
This project investigates the use of self-hosted Large Language Models (LLMs) for processing Polish medical text within a GDPR-compliant, on-prem environment. The goal is to assess whether relatively small, locally deployed LLMs can be used in tasks such as data extraction and translation of Polish medical records. We...
. Peri‑implantitis is a biofilm‑induced, immune‑medi-ated inflammatory condition affecting ~1 in 5 patients bearing implants and remains one of the most clinically unresolved challenges in contemporary implantology. Although multiple therapeutic approaches have been proposed, no universally accepted treatment protocol...
Large language models (LLMs) are increasingly used as on-demand assistants for software tasks, yet their educational value under everyday, unguided use remains uncertain. This study tests whether unrestricted LLM access improves beginners’ code comprehension. In a controlled classroom experiment, undergraduate novices...
Large language models (LLMs) are increasingly deployed in interactive settings where users provide feedback in natural language, often with an emotional component. This paper examines whether such feedback is associated with systematic changes in LLM outputs. Using 42 Polish prompts across six everyday domains and 20 a...
Efficient fine-tuning of an automatic speech recognition system is a key challenge in machine learning research. A major obstacle is accurately recognizing jargon-heavy, domain-specific speech in expert discussions, such as those among lawyers, doctors, or engineers. We propose an automated machine-learning approach th...
Large language models (LLMs) are typically deployed as standalone systems, although many professional tasks require structured collaboration among specialists. This paper presents a proof-of-concept design and preliminary evaluation of a multi-agent LLM framework for multidisciplinary case deliberation, using a simulat...
Patterns indicate that data access, task design, and validation quality matter as much as algorithm choice; future work should therefore prioritize open benchmarks, external validation, and causal modeling, while privacy-aware data governance, uncertainty estimation, and interpretability remain underdeveloped prioritie...
A Blog post by Ai2 on Hugging Face
A Blog post by IBM Research on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by IBM Granite on Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
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