Nicolay Gerold

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.

In just a few lines of codes, you can

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First, AI agents are likely to lead to new go-to-market strategies for SaaS companies. With potentially fewer humans in the loop, there is likely to be a further decoupling of seats/users and contract value. To capture value, LLM applications will need a new scaling factor for pricing: variable value-based pricing is a plausible solution.

Moreover,... See more

they could try “switching to a different model, augmenting the training data in some way, collecting more or different kinds of data, post-processing outputs, changing the objective function, or something else.” Our interviewees recommended focusing on experiments that provided additional context to the model, typically via new features, to get the... See more

Overview

Dropbase is a developer-first platform to build internal web apps with just Python. It lets you easily import your existing Python libraries and scripts so you don’t have to rewrite them to fit our framework.

Build apps by selecting UI components from a list and binding them to data fetcher functions or Python scripts. Use State & Context... See more

Trying to get a better understanding of how prompts work in relation to fine-tunes, and trying to see if any of them are actually reliable enough to be used in a "production" type environment.

My end goals are basically

• A reliable AI assistant that I know is safe, secure and private. Any information about myself, my household or my proprietary ideas

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Most recently, I have been comparing the current AI frenzy to previous platform shifts and their aftermaths. For example, do you remember the explosion of applications in the early days of the iPhone? There were hundreds of apps that unleashed all sorts of superpowers, and then entire cohorts of these startups got destroyed every year at the... See more

Programmable platform for data in motion

An open-source data streaming platform with in-line computation capabilities. Apply your custom programs to aggregate, correlate, and transform data records in real-time as they move over the network.

Clean & curate your data with LLMs

databonsai is a Python library that uses LLMs to perform data cleaning tasks.

Features

• Suite of tools for data processing using LLMs including categorization, transformation, and extraction


• Validation of LLM outputs


• Batch processing for token savings


• Retry logic with exponential backoff for handling rate limits and

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You always have to consider crashes after strong intakes. Play with dosages and timing.