AI TOOL PROFILE
Entry Point AI: Fine-tuning Platform for Large Language Models
- Software Development
- AI Development Platform
- 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.
At a glance
- Best for
- Software companies, Startup founders, AI consultants, Product teams needing custom LLM behavior
- 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
- Visit Entry Point AI official website
How AI is used
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
No-code fine-tuning
Supports training custom models using a user interface instead of writing code.
Cross-platform LLM support
Supports training and management across multiple LLM providers through a unified interface.
Token cost estimation
Includes tools to count tokens and estimate the costs associated with training.
Data synthesis
Provides capabilities to synthetically grow training datasets.
Model validation playground
A space to test and validate model performance.
Shareable model frontends
Supports the deployment of a frontend for fine-tuned models to facilitate testing.
Prompt and template management
A templating engine to iterate on the structure and labels of training data.
Use Cases
Content Production
Supporting the creation of reports, blog articles, and social media posts.
Data Tagging and Classification
Segmenting data and tagging content for metadata or search features.
Structured Data Extraction
Extracting key values from unstructured data into consistent formats.
Support Prioritization
Helping to prioritize bug reports, lead forms, and support issues.
Fraud and Content Moderation
Training models to detect suspicious activity or flag inappropriate content.
RAG Workflow Optimization
Using a fine-tuned LLM to rerank results by relevance in retrieval-augmented generation workflows.
Integrations
- CSV export
- JSONL export
FAQ
Do I need to know how to code to use Entry Point AI?
- No, the platform is designed as a no-code tool with a user interface for managing APIs and hyperparameters.
How does the pricing work for training examples?
- Paid plans provide a limit on training examples; for example, the Starter plan allows 5,000 examples, while the Pro plan allows 100,000.
Are the LLM provider costs included in the monthly subscription?
- 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.
Can I keep my models if I cancel my plan?
- 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
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