Entry Point AI: Fine-tuning Platform for Large Language Models
Entry Point AI helps software companies customize LLM behavior without requiring coding knowledge. It is designed for teams that need more predictable model outputs than standard prompt engineering may provide.
At a glance
- Category
- Software Development
- Best for
- Software companies, Startup founders, AI consultants, Product teams needing custom LLM behavior
- Pricing
- Paid plans include Starter ($49/mo), Growth ($99/mo), and Pro ($249/mo), with a free tier available. Tiers differ by the number of training examples (5,000 to 100,000) and user seats allowed.
- Key use cases
- Content Production, Data Tagging and Classification, Structured Data Extraction, Support Prioritization, Fraud and Content Moderation
- Integrations
- CSV export, JSONL export
- Official website
- www.entrypointai.com/
Entry Point AI is a platform for the optimization of proprietary and open-source large language models. It provides a centralized workspace to manage prompts, fine-tunes, and evaluations, which is intended to help users move beyond the limits of basic prompt engineering.
The tool is designed for software companies and developers who want to create custom models for specific business tasks. It allows users to train models by providing examples of desired behavior, which may help in achieving higher quality and more predictable outputs.
Buyers should note that while the platform manages the training process, the actual costs for fine-tuning and generating examples are billed by the connected LLM providers. Users should also verify if the training example limits of the different paid tiers align with their project scale.
Key Features
Supports training custom models using a user interface instead of writing code.
Supports training and management across multiple LLM providers through a unified interface.
Includes tools to count tokens and estimate the costs associated with training.
Provides capabilities to synthetically grow training datasets.
A space to test and validate model performance.
Supports the deployment of a frontend for fine-tuned models to facilitate testing.
A templating engine to iterate on the structure and labels of training data.
Use Cases
Supporting the creation of reports, blog articles, and social media posts.
Segmenting data and tagging content for metadata or search features.
Extracting key values from unstructured data into consistent formats.
Helping to prioritize bug reports, lead forms, and support issues.
Training models to detect suspicious activity or flag inappropriate content.
Using a fine-tuned LLM to rerank results by relevance in retrieval-augmented generation workflows.
Best For
Integrations
Pricing
Paid plans include Starter ($49/mo), Growth ($99/mo), and Pro ($249/mo), with a free tier available. Tiers differ by the number of training examples (5,000 to 100,000) and user seats allowed.
FAQ
No, the platform is designed as a no-code tool with a user interface for managing APIs and hyperparameters.
Paid plans provide a limit on training examples; for example, the Starter plan allows 5,000 examples, while the Pro plan allows 100,000.
No, costs for fine-tuning and generating synthetic examples are billed by the connected platform (such as OpenAI) and are not included in the Entry Point AI subscription.
Yes, models are trained on the platform of your choice, and you can revoke Entry Point AI's access at any time while keeping the models.
Source category: Software Development
Source subcategory: AI Development Platform
