Entry Point AI Frequently Asked Questions

Entry Point AI Frequently Asked Questions. Entry Point AI: Train, manage, and evaluate custom large language models easily. User-friendly, no coding needed. Explore use cases, pricing, reviews, and more.

FAQ from Entry Point AI - Fine-Tune & Manage Custom Large Language Models

What is Entry Point AI - Fine-Tune & Manage Custom Large Language Models?

Entry Point AI is a platform that allows users to fine-tune, manage, and evaluate custom large language models (LLMs) using a user-friendly interface that requires no coding skills.

How to use Entry Point AI - Fine-Tune & Manage Custom Large Language Models?

To use Entry Point AI, follow these steps: 1. Define the task for your language model. 2. Upload task examples into the platform via a CSV file. 3. Use built-in tools to evaluate the fine-tuned models. 4. Collaborate with your team to manage the training and track performance. 5. Use dataset tools for filtering, editing, and managing data. 6. Generate synthetic examples with the AI Data Synthesis feature. 7. Export the fine-tuned models or apply them directly to your applications.

What is fine-tuning?

Fine-tuning involves adapting a pre-trained language model to perform a specific task by training it with new data, enhancing its effectiveness for particular applications.

What platforms are supported by Entry Point AI?

Entry Point AI supports fine-tuning on OpenAI, AI21, or exporting JSONL files to train open-source models.

Is an API key required to use Entry Point AI?

An API key is necessary for training on OpenAI or AI21 platforms and for generating synthetic data with OpenAI integration. However, managing and exporting data in JSONL format does not require an API key.