Free GPT-J Playground - Forefront
The best playground to use GPT-J on tasks like content generation, text summarization, entity extraction, code generation, and much more! Use the model with all of the parameters you’d expect, for free.
Quickstart - Forefront
The Forefront API provides a simple interface for developers to use open-source models in their applications. This quickstart tutorial will help get your local development environment setup, fine-tune your first model, and start using it in your application.
Models - Forefront
The Forefront platform offers various open-source models at different sizes and price points. You can customize these models to your specific use case with fine-tuning.
Chat - Forefront
POST https://api.forefront.ai/v1/chat/completions. Creates a model response for the given chat conversation.
Introduction | Forefront
Forefront enables you to fine-tune and inference open-source text generation models (often referred to as generative pre-trained transformers or "GPT" models for short). These models have been trained to understand natural language, and will …
Text generation - Forefront
You can interact with models programmatically through our API. Forefront supports two popular formats for sending text inputs to LLMs, chat style and completion style. If you're not sure which format to use, start with chat style as it generally produces good results.
Fine-tuning - Forefront
Fine-tuning enables higher quality results than prompting alone, and faster/cheaper requests due to shorter prompts. Fine-tuning a smaller model on the outputs of a larger model can lead to even more dramatic improvements in costs and speed, while ensuring high quality outputs.
Pipelines - Forefront
A pipeline is a collection of LLM outputs that you can easily create, filter, and fine-tune on later. There are a few steps in the pipeline lifecycle: Create the pipeline. Add LLM outputs to the pipeline. Filter the pipeline to create a dataset. Fine-tune a model on the dataset.
Tutorials - Forefront
Get started. Introduction. Quickstart
Introduction - Forefront
Introduction. You can interact with the Forefront API through HTTP requests from any language or via our official Python or Typescript package. To install the SDK, run the following command: Python. Node.js. pip install forefront.
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