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OpenPipe

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 Fine tune your data on specific logs. Filter by prompt id and exclude requests with an undesirable output.

Fine Tuning

Fine Tuning - Beta

 Product-focused teams use OpenPipe's seamless fine-tuning and monitoring services to decrease the cost and latency of their LLM operations.  You can use OpenPipe to collect and analyze LLM logs, create fine-tuned models, and compare output from multiple models given the same input.

Introduction

OpenPipe Documentation

OpenPipe is a streamlined platform designed to help product-focused teams train specialized LLM models as replacements for slow and expensive prompts.

Overview

Get started with OpenPipe in a few quick steps.

Quick Start

Installing the SDK

 Search and filter your past LLM requests to inspect your responses and build a training dataset.

Log Filters

 Import external data to kickstart your fine-tuning process. Use the OpenAI chat fine-tuning format.

Import Data

Import Data - Beta

 Export your past requests as a JSONL file in an Alpaca or OpenAI fine-tuning format or in their raw form.

Welcome

Getting Started

Features

FAQ

Fine Tuning - Beta