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