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OpenPipe

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About

OpenPipe is a platform for fine-tuning and deploying LLMs. It allows users to collect training data, train models, and evaluate their performance, all within a single platform. Key features include automatic data recording, simplified model training, managed endpoints for scaling, and LLM-as-judge evaluations. OpenPipe offers various pricing plans, from per-token usage for developers to enterprise solutions for larger businesses, ensuring compliance with HIPAA, SOC 2, and GDPR. The platform boasts significant cost and time savings compared to alternatives like GPT-4, with users reporting inference speed increases and cost reductions. OpenPipe prioritizes user experience, making the process of fine-tuning and deploying models intuitive and efficient.

Platform
Web
Keywords
deploymentfine-tuningllmmodel trainingevaluation
Task
llm fine-tuning

Features

data collection

model training

deployment

evaluation

fine-tuning of llms

autoscaling

model management

metrics & analytics

Pricing Plans

Per-Token
$4.00 / per 1M tokens

Autoscaling

Metrics & Analytics

50k training rows per dataset

Up to 50 fine-tuned models

Enterprise
Unknown Price

Everything in Per-Token

HIPAA, SOC 2, GDPR compliance

Custom relabeling techniques

Active Learning

500k training rows per dataset

Discounted token rates

Unlimited fine-tuned models

Job Opportunities

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OpenPipe

DevRel Engineer

OpenPipe simplifies LLM fine-tuning and deployment, offering significant cost and time savings with high-quality results.

engineeringonsiteSan Francisco, US
$160,000 - $200,000
full-time

Benefits:

  • Base salary range: $160k-$200k

  • Generous equity

  • Healthcare reimbursement credit

Experience Requirements:

  • Must have built something using an LLM in the past

  • Must be able to speak credibly on technical subjects

  • Must be able to ask intelligent questions and quickly learn about new subjects in a conversational setting with engineers

Responsibilities:

  • Attend events and present OpenPipe

  • Talk with developers about problems they’re running into using LLMs

  • Field questions around fine-tuning

  • Build cool demo projects that use fine-tuned LLMs

  • Work closely with the OpenPipe team to determine the highest-value features to present

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