Python LLM Instructor Tutorial

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...

IEEE

A Taxonomy of Inefficiencies in LLM-Generated Python Code

Abstract: Large Language Models (LLMs) are widely adopted for automated code generation with promising results. Although prior research has assessed LLM-generated code and identified various quality ...

GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

🌟 TensorRT LLM is experimenting with Image&Video Generation models in TensorRT-LLM/feat/visual_gen branch. This branch is a prototype and not stable for production ...

The Hacker News

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uqlm: Uncertainty Quantification for Language Models

A Taxonomy of Inefficiencies in LLM-Generated Python Code

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

Microsoft Warns Python Infostealers Target macOS via Fake Ads and Installers

LLM Contribution Summarization in Software Projects

How to Build Multi-Layered LLM Safety Filters to Defend Against Adaptive, Paraphrased, and Adversarial Prompt Attacks