Entry Point

What is Entry Point

Entry Point is a platform that allows users to fine-tune and shape large language models including GPT, Llama-2, and Mistral. It offers a seamless process for training models, improving quality, generating faster outputs, and making model behavior more predictable. The platform also enables collaboration among teams, provides templates for rapid iteration, and allows for easy import/export of data. It aims to simplify the fine-tuning process and provide a user-friendly interface without the need for coding.

Key Features of Entry Point

- Modern Fine-Tuning Platform: Entry Point is designed for fine-tuning proprietary and open-source large language models, including GPT, Llama-2, and Mistral.

- Multiple LLM Providers: Train models from leading LLM providers through a unified interface.

- Improved Quality: Fine-tuning enhances the quality of prompts by embedding examples directly into the model, similar to upgrading few-shot learning.

- Efficiency in Simpler Tasks: Lighter models trained for simpler tasks can provide fast performance, reducing latency and cost.

- Consistency and Safety: Fine-tuning helps achieve more predictable outputs by training your model on safe responses, protecting brand integrity and ensuring proper formatting.

- Scalable with Team Efforts: Allows team collaboration by adding examples to datasets, thereby refining model behavior without conflicting prompt changes.

- Ease of Use: Simplifies the complex process of fine-tuning with modern tools and reduced data requirements.

- Cross-Provider Training: Avoids lock-in to a single API or model, keeping up with the rapidly evolving AI landscape.

- Team Collaboration: Facilitates team efforts in tracking training data, counting tokens, estimating costs, evaluating performance, and comparing hyperparameters.

- Rapid Template Iteration: Our templating engine helps iterate quickly to determine effective data structures, labels, and prompts.

- Seamless Import/Export: Simplifies data transfer in and out of Entry Point, allowing dataset exports in JSONL format.

- Model Sharing: Easily deploy and share frontends for your fine-tuned models, capturing completion data to refine the dataset further.

- Common Pitfall Avoidance: Tackles nuances such as syntax and token limits to ensure desired results on the first attempt.

- No Coding Needed: Full access to APIs and hyperparameters through a user-friendly interface.

- Use Case Versatility: Supports various business needs like content creation, tagging, data extraction, prioritization, recommendations, fraud detection, moderation, data enrichment, and ranking.

Pricing

Individuals - Starter Plan

• Cost: $49/month
• Training Examples: 5,000
• User Seats: 3
• Features:
  • Import & manage structured data
  • Prompt & completion templates
  • Cross-platform fine-tuning
  • Token counts & cost estimation
  • Model validation & playground
  • Unlimited data synthesis
  • Onboarding call
  • CSV and JSONL exports

Startups - Growth Plan

• Cost: $99/month
• Training Examples: 25,000
• User Seats: 5
• Features:
  • Import & manage structured data
  • Prompt & completion templates
  • Cross-platform fine-tuning
  • Token counts & cost estimation
  • Model validation & playground
  • Unlimited data synthesis
  • Onboarding call
  • CSV and JSONL exports

Businesses - Pro Plan

• Cost: $249/month
• Training Examples: 100,000
• User Seats: 10
• Features:
  • Import & manage structured data
  • Prompt & completion templates
  • Cross-platform fine-tuning
  • Token counts & cost estimation
  • Model validation & playground
  • Unlimited data synthesis
  • Onboarding call
  • CSV and JSONL exports
  • Premium support