Monitoring
wandb.ai
Monitoring
Welcome to prompttools created by Hegel AI! This repo offers a set of open-source, self-hostable tools for experimenting with, testing, and evaluating LLMs, vector databases, and prompts. The core idea is to enable developers to evaluate using familiar interfaces like code, notebooks, and a local playground.... See more
In just a few lines of codes, you can t
Testing framework for LLM Part
HoneyHive is a collaboration platform to test and evaluate, monitor and debug your LLM apps, from prototype to production. It enables you to continuously improve LLM apps in production with human feedback, quantitative rigour and safety best-practices.
Carlos • Data Machina #222
A core building block of LangChain is the prompt class, which allows users to interact with LLMs by providing concise instructions or examples.
Ben Auffarth • Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
An analysis of GPT-4V, a large multimodal model with visual understanding, discussing its capabilities, input modes, working modes, prompting techniques, and potential applications in various domains.
browse.arxiv.org