Quantifying prompt quality using information theory: entropy and mutual information analysis of 1,800 LLM generations

An RL environment where an LLM agent learns to curate talking-head video clips for AV LoRA training. No labels exposed, rewards only.

LLM 驱动的 A 股分析系统参考 Fork，聚合行情、新闻、决策面板与多渠道推送。

Real-time supply chain monitoring for Python and NPM ecosystems with LLM/AI-powered diff analysis.

Comparative tool for critical code studies and other methods for comparative analysis of LLM output.

(ACL 2026 Main) LLMSurgeon recovers the pretraining data mixture of any LLM from only its generated text — no weights, no training data. A calibrated domain classifier plus label-shift correction de-blurs biased predictions. Ships with LLMScan, a benchmark on 8 open-source LLMs.

Stock Analysis Dashboard featuring Risk, Fundamental, Sentiment, and Technical analysis, plus AI-powered insights with a rating score, summary table, overall evaluation, and detailed breakdown of each analysis type.

lawhead-extractor parses legal headlines, extracting parties, claim type and outcome using an LLM with pattern matching for accuracy.

A new package would process user complaints or descriptions about logging systems, extracting structured insights such as common pain points, root causes, or improvement suggestions. It uses an LLM to

A new package that takes user-provided text (such as a blog post title or a short article snippet) and generates a structured summary highlighting key advantages or claims. It uses an LLM to analyze t

📊 Explore how Shannon entropy and mutual information can quantify prompt quality in generative AI systems across various temperature settings.

A Python-based tool for comparing translated .docx documents against their original versions. It highlights differences, calculates similarity metrics, and generates detailed comparison reports, including suggested corrections.

A Python CLI tool that collects and analyzes Discourse forum discussions using Claude AI to identify common problems, categorize issues by severity, and provide natural language querying of forum insights.

Local Web App to pick a hero for Marvel Rivals by using llm analysis. Made by Claude Code

GWIQ-Atlas: is a brain-atlasing and model-interpretability suite that combines per-layer census, compliance behaviour tracing, SAE features, and quantization analyses for LLMs.

Automated background daemon that scrapes the GitHub ecosystem for open issues across JS, Python, Go, and Rust. Features local desktop notifications, shallow-clone commit file parsing, and an LLM triage layer for immediate codebase analysis, all displayed on a lightweight vanilla web UI.

A framework for analyzing Large Language Model (LLM) performance through Quantized PSA and structured weight pruning experiments

AI Text Slop: A Quantitative Study of Stylistic Convergence Across Six Language Models in Japanese Technical Writing

Analyse, Interpret and Visualise JPL/NASA NEO Data in 3D and using Ollama LLM

Python-based RegTech tool for automated KYB/KYC, negative news screening, and domain risk assessment.