Nicolay Gerold

The product manager is the voice of the customer. The person sitting there asking „does this make sense for the customer?“, „are we saying / delivering the right things?“, „are we confusing them?“, „how do our customers considering our product compared to competitors?“. For every single customer touchpoint.

You need a small 2-3 Person teams that... See more

LLMTuner

LLMTuner: Fine-Tune Llama, Whisper, and other LLMs with best practices like LoRA, QLoRA, through a sleek, scikit-learn-inspired interface.

Puter

Puter is an advanced open-source desktop environment in the browser, designed to be feature-rich, exceptionally fast, and highly extensible. It can be used to build remote desktop environments or serve as an interface for cloud storage services, remote servers, web hosting platforms, and more.

Getting Started

git clone... See more

Sometimes they just need the model that actually fits for their specific use case and it’s far more economical. We want people to build on top of our models and we want to give them tools to make that easy. We want to give them more and more access and control, so you can bring your data and customize these models. And you can really focus on the... See more

llamafile lets you distribute and run LLMs with a single file. (announcement blog post)

Our goal is to make open source large language models much more accessible to both developers and end users. We're doing that by combining llama.cpp with Cosmopolitan Libc into one framework that collapses all the complexity of LLMs down to a single-file... See more

One thing that is still confusing to me, is that we've been building products with machine learning pretty heavily for a decade now and somehow abandoned all that we have learned about the process now that we're building "AI".

The biggest thing any ML practitioner realizes when they step out of a research setting is that for most tasks accuracy has... See more

SteerLM leverages a supervised fine-tuning method that empowers you to control responses during inference. It overcomes the limitations of prior alignment techniques, and consists of four key steps:

1. Train an attribute prediction model on human-annotated datasets to evaluate response quality on any number of attributes like helpfulness, humor, and

... See more

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

Local database for development

Each table in the database had an accompanying script that would generate a subset of the data for use in local development, since the final database was too large to run on a developer's machine.

This let each developer work with a live, local, copy of the database and enabled efficient development of changes.

I highly... See more