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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Relying solely on a few examples is insufficient for thorough evaluation. To gain actionable insights for enhancing your models, it’s essential to gather extensive end-user feedback. With the improvement engine designed for GPT, you can effortlessly conduct A/B tests on models and prompts. While prompts serve as a starting point, achieving superior results necessitates fine-tuning on your most valuable data—no coding expertise or data science knowledge is required. Integrate with just a single line of code and seamlessly experiment with various language model providers like Claude and ChatGPT without needing to revisit the setup. By leveraging robust APIs, you can create innovative and sustainable products, provided you have the right tools to tailor the models to your clients’ needs. Copy AI fine-tunes models using their best data, leading to cost efficiencies and a competitive edge. This approach fosters enchanting product experiences that captivate over 2 million active users, highlighting the importance of continuous improvement and adaptation in a rapidly evolving landscape. Additionally, the ability to iterate quickly on user feedback ensures that your offerings remain relevant and engaging.

Description

OpenPipe offers an efficient platform for developers to fine-tune their models. It allows you to keep your datasets, models, and evaluations organized in a single location. You can train new models effortlessly with just a click. The system automatically logs all LLM requests and responses for easy reference. You can create datasets from the data you've captured, and even train multiple base models using the same dataset simultaneously. Our managed endpoints are designed to handle millions of requests seamlessly. Additionally, you can write evaluations and compare the outputs of different models side by side for better insights. A few simple lines of code can get you started; just swap out your Python or Javascript OpenAI SDK with an OpenPipe API key. Enhance the searchability of your data by using custom tags. Notably, smaller specialized models are significantly cheaper to operate compared to large multipurpose LLMs. Transitioning from prompts to models can be achieved in minutes instead of weeks. Our fine-tuned Mistral and Llama 2 models routinely exceed the performance of GPT-4-1106-Turbo, while also being more cost-effective. With a commitment to open-source, we provide access to many of the base models we utilize. When you fine-tune Mistral and Llama 2, you maintain ownership of your weights and can download them whenever needed. Embrace the future of model training and deployment with OpenPipe's comprehensive tools and features.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Axolotl
Codestral Mamba
JSON
JavaScript
Le Chat
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
Mixtral 8x22B
Nekton.ai
Node.js
OpenAI
Pixtral Large
PostgreSQL
Python
TypeScript

Integrations

Axolotl
Codestral Mamba
JSON
JavaScript
Le Chat
Mathstral
Ministral 3B
Ministral 8B
Mistral 7B
Mistral AI
Mistral Large
Mistral Small
Mixtral 8x22B
Nekton.ai
Node.js
OpenAI
Pixtral Large
PostgreSQL
Python
TypeScript

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$1.20 per 1M tokens
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Humanloop

Website

humanloop.com

Vendor Details

Company Name

OpenPipe

Country

United States

Website

openpipe.ai/

Alternatives

Alternatives

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