Phi Llm
PulseAugur coverage of Phi Llm — every cluster mentioning Phi Llm across labs, papers, and developer communities, ranked by signal.
-
SHIELD: A Diverse Clinical Note Dataset and Distilled Small Language Models for Enterprise-Scale De-identification
Researchers have introduced SHIELD, a new dataset comprising 1,394 clinical notes with over 10,000 identified Protected Health Information (PHI) spans. This dataset aims to address the limitations of older benchmarks by…
-
Tiamat launches APIs for PHI scrubbing and text summarization
Tiamat has released a suite of APIs designed to assist developers in their projects. These APIs offer functionalities such as scrubbing Personally Identifiable Information (PHI) from text and summarizing content. The re…
-
New MEDS dataset maps LLM math reasoning, bias, and attitudes
Researchers have introduced MEDS (Math Education Digital Shadows), a new dataset designed to evaluate how large language models perform in mathematics and identify potential biases. MEDS comprises 28,000 personas across…
-
Python client developed to prevent PHI leakage in LLM prompts
A concise 67-line Python script has been developed to help users prevent Protected Health Information (PHI) from being included in their Large Language Model (LLM) prompts. This tool aims to enhance privacy and security…
-
Scrubber and Presidio compared in 5-case PHI benchmark
A comparative benchmark evaluated Scrubber and Presidio, two tools designed for identifying and redacting Protected Health Information (PHI). The analysis focused on five specific case studies to assess their effectiven…
-
LLMs show categorical perception and optimized data selection
Researchers have developed a new framework for optimizing data selection in large language models, adapting data weighting to specific tasks and models using efficient proxies. Another study investigates categorical per…
-
Stealthy Backdoor Attacks against LLMs Based on Natural Style Triggers
Researchers have developed a new defense mechanism called Tail-risk Intrinsic Geometric Smoothing (TIGS) to protect large language models from backdoor attacks. TIGS operates during inference without requiring model upd…