ATS OptimizationAI Model Fine-TuningCloud Deployment

OpenPipe

Fine-tune production-ready AI models with minimal effort

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OpenPipe

Target Audience

  • AI Developers
  • Startup Tech Teams
  • Enterprise AI Engineers

Hashtags

#EnterpriseAI#CostEffectiveAI#LLMOptimization#AIFineTuning

Overview

OpenPipe helps developers create optimized AI models that work better and cost less than generic solutions like GPT-4. It automatically captures your existing LLM interactions to create training data, lets you train custom models in two clicks, and handles scalable deployment. Users report 90% fewer errors and 10x cost savings while maintaining (or beating) GPT-4-level performance.

Key Features

1

Auto Data Capture

Automatically records LLM requests/responses for training

2

2-Click Training

Launch model training with minimal setup required

3

Managed Scaling

Handles deployment to endpoints supporting millions of requests

4

Cost Comparison

Models cost 1/10th of GPT-4 while outperforming it

5

Compliance Ready

SOC 2, HIPAA, GDPR compliance for enterprise use

Use Cases

🏭

Optimize production LLM workflows

💸

Reduce AI inference costs

🔧

Fine-tune open-source models

📈

Improve model accuracy continuously

🛡️

Deploy compliant AI solutions

Pros & Cons

Pros

  • 10x cost reduction compared to GPT-4
  • 3x faster inference speeds
  • Enterprise-grade security compliance
  • Simplified model iteration process

Cons

  • Primarily targets service-oriented businesses
  • Requires initial SDK integration effort

Pricing Plans

Per-Token

usage-based
From $0.48

Features

  • 50k training rows/dataset
  • Up to 50 models
  • $0.30-$0.45 per million tokens

Enterprise

Custom

Features

  • 500k training rows/dataset
  • Unlimited models
  • Custom compliance features

Pricing may have changed

For the most up-to-date pricing information, please visit the official website.

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Frequently Asked Questions

How does OpenPipe compare to GPT-4?

Users report OpenPipe models outperform GPT-4 while costing 1/10th as much, with 3x faster inference speeds

Can I use my own infrastructure?

You own model weights when fine-tuning open-source models, allowing deployment anywhere

Is enterprise data secure?

Yes - OpenPipe offers SOC 2 Type 2, HIPAA, and GDPR compliance

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