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bikash119 / gist:bf77aeef9d886d3fcf68796a8ae9a0a1
Created May 28, 2025 06:33
Error thrown while trying to create a npm project
Tried creating new npm project using cloudflare@latest
`npm create cloudflare@latest new-prj -- --framework=react-router`
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πŸͺ΅ Writing logs to "/Users/boredmgr/Library/Preferences/.wrangler/logs/wrangler-2025-05-28_06-01-28_851.log"
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--- 2025-05-28T06:01:29.031Z debug
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synthetic data

πŸ§‘ human (Sep 27, 2024, 05:45 PM)

help me create synthetic data with distilabel

πŸ€– assistant (Sep 27, 2024, 05:45 PM)

Certainly! I'd be happy to help you create synthetic data using Distilabel. Let's walk through the process of setting up a simple pipeline to generate synthetic data. We'll use the OpenAI API for this example, but you can adjust it based on your preferred LLM provider.

Here's a step-by-step guide to create a basic synthetic data generation pipeline:

  1. First, make sure you have Distilabel installed:

Generating Synthetic Data with Distilabel

πŸ§‘ human (Sep 27, 2024, 05:42 PM)

help me with code to generate synthetic data using distilabel

πŸ€– assistant (Sep 27, 2024, 05:42 PM)

Certainly, I can help you with code to generate synthetic data using Distilabel. Distilabel is a library for creating labeled datasets using language models. Let's create a simple example to demonstrate how to use it.

<antArtifact identifier="distilabel-synthetic-data" type="application/vnd.ant.code" language="python" title="Synthetic Data Generation with Distilabel">
@bikash119
bikash119 / llms.md
Last active September 23, 2024 12:31
How-to-guides-basic

Define LLMs as local or remote models

Working with LLMs

LLM subclasses are designed to be used within a [Task][distilabel.steps.tasks.Task], but they can also be used standalone.

from distilabel.llms import OpenAILLM

llm = OpenAILLM(model="gpt-4")
description
Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.

Installation

You will need to have at least Python 3.9 or higher, up to Python 3.12, since support for the latter is still a work in progress.

Configure output
Bikash-Patras-MacBook:node bikashpatra$ ./configure --without-ssl
Checking for program g++ or c++ : /usr/bin/g++
Checking for program cpp : /usr/bin/cpp
Checking for program ar : /usr/bin/ar
Checking for program ranlib : /usr/bin/ranlib
Checking for g++ : ok
Checking for program gcc or cc : /usr/bin/gcc
Checking for program ar : /usr/bin/ar
Checking for program ranlib : /usr/bin/ranlib