Nicolay Gerold

@nicolaygerold

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Analyze user queries and feedback to identify topic clusters, capabilities, and areas of user dissatisfaction. This will help you prioritize improvements.

Why should we do this? Let me give you an example. I once worked with a company that provided a technical documentation search system. By clustering user queries, we identified two main issues:

Systematically Improving Your RAG - jxnl.co

RAG

Skills Extractor

Installation

Using Nesta's Skills Extractor library

Development

Welcome to Nesta's Skills Extractor Library

Welcome to the documentation of Nesta's skills extractor library.

This page contains information on how to install and use Nesta's skills extraction library. The skills library allows you to extract skills phrases from job... See more

nestauk • GitHub - nestauk/ojd_daps_skills: Nesta's Skills Extractor Library

SaaS Competitive Advantage Through Elegant LLM Feedback Mechanisms by @ttunguz

Bard highlights confirmed data in green & potentially erroneous data in red. I confirmed the green is correct. The red sometimes was correct and other times wasn’t. In addition to saving me time, I can use a less-than-trusted system, benefit from the accurate portion of the response - which should keep me coming back - all while improving the system for the next time.

The exact metrics we use depend on the application — our main goal is to understand how users use the feature and quickly make improvements to better meet their needs. For internal applications, this might mean measuring efficiency and sentiment. For consumer-facing applications, we similarly focus on measures of user satisfaction - direct user... See more

Developing Rapidly with Generative AI

LLMs

I mostly use a UI I made myself:

https://github.com/shinomakoi/AI-Messenger

Works with llama.cpp and Exllama V2, supports LLaVA, character cards and moar.

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RYSKZ

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9 days ago

Right now, I'm using your earlier project [1]. It's proving to be incredibly helpful, thank you!.

Since it's a desktop application, it's more convenient for me... See more

r/LocalLLaMA - Reddit

LLM UIs

Enable developer self-service

Free developers from time-consuming, unnecessary tasks that slow your work, so you and your team can focus on writing code.

Remote Development Environments for every developer

Develop and debug locally while running environments remotely in the cloud, and see your changes live, precisely as they would look in... See more

Bunnyshell - Self-service Cloud Development Environments

Tools

There are endokrine signal involved to signal hunger and satiety. The archuit nucleus release chemicals that act as brakes and accelerators of hunger. - The PMOC neurons (system) produce a-MSH, which reduces appetite and get active while eating. They are activated by ultra-violate light to the eyes, which explains the lower hunger and appetite in... See more