How to analyze your LLM output
A behavioural health monitor for LLMs. Understand your AI, then tune it. How a human mind works is our lens for reading a model: we catch where it drifts, caves, or misreads the person in front of it, and we add what it lacks, like reading sarcasm. Plain-language tour. Free. Kashyap Thimmaraju and Giuseppe Canale from Silicon Psyche.

반응 (1)
비슷한 프로덕트
설명이 비슷한 순
Aiaiai.guide
aiaiai.guidePlain-English mental model for LLM apps, tools and agents
A tool to properly observe your LLM's context window
blog.nilenso.comTL;DR: You can’t fix what you can’t see. I built a tool that pulls apart LLM context into meaningful components that you can see, measure, and then...
I built a web tool to see and edit what an AI thinks before it answers
lucid.earthpilot.aiLucid watches a language model think. It reads the concepts a model holds before it speaks, layer by layer, using Anthropic's Jacobian lens.
From messy files to a checked report. A free, open-source desktop app for macOS, Windows and Linux: write and analyse with AI from your own files, check each sentence and figure against them, and export to Word. Meeting notes too. Works with ChatGPT, Claude, Gemini or a local model through Ollama.
Open-source observability for LLM apps
github.comLLMonitor helps you record, trace & search your LLM queries and chatbot conversations.