Entry Point AI - Fine-tuning Platform for Large Language Models

What is Entry Point AI - Fine-tuning Platform for Large Language Models?

Entry Point AI is a fine-tuning platform that allows users to train, manage, and evaluate custom large language models (LLMs). It provides a user-friendly interface for training models without the need for coding skills.

Added on June 08 2023

Belongs to Website. Over 32.4K monthly visits.

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Website Traffic

Last Month's Visits:
32.4K (-4.4K)
Last 3 Month's Visits:
110.5K (-11.7K)
Last 6 Month's Visits:
216.7K (8.3K)
Total Visitors
Visitors Growth

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How to use Entry Point AI - Fine-tuning Platform for Large Language Models?

To use Entry Point AI, follow these steps: 1. Identify the task you want your language model to perform. 2. Import examples of the desired task into Entry Point AI using a CSV file. 3. Evaluate the performance of the fine-tuned models using the built-in evaluation tools. 4. Collaborate with teammates to manage the training process and track model performance. 5. Utilize dataset tools to filter, edit, and manage your dataset. 6. Generate synthetic examples using the AI Data Synthesis feature. 7. Export the fine-tuned models or use them directly in your applications.

Entry Point AI - Fine-tuning Platform for Large Language Models's Core Features

The core features of Entry Point AI include: 1. Intuitive Interface: Simplifies the training process with a user-friendly interface that eliminates the need for coding. 2. Template Fields: Allows users to define field types for easy dataset organization and updates. 3. Dataset Tools: Enables filtering, editing, and management of datasets, as well as AI Data Synthesis for generating synthetic examples. 4. Collaboration: Facilitates seamless collaboration with teammates by providing project management tools. 5. Evaluation: Provides built-in evaluation tools to assess the performance of fine-tuned models.

Entry Point AI - Fine-tuning Platform for Large Language Models's Use Cases

#1 Entry Point AI can be used in various applications such as: 1. Content Marketing: Train a model to generate blog posts that match your brand's style. 2. Sales Lead Qualifier: Classify leads based on their contact form submissions and assign scores to distribute them fairly. 3. Support Issue Prioritizer: Identify and prioritize high-priority support issues for faster resolution. 4. Big Data Data Normalizer: Normalize records from various sources according to specific data standards. 5. Email Marketing: Clean up marketing email lists by detecting fake or spam email addresses. 6. Finance Fraud Detector: Identify potentially fraudulent activity using language models.

Entry Point AI - Fine-tuning Platform for Large Language Models Traffic

Visit Over Time

Monthly Visits
32.4K
Avg.Visit Duration
00:03:21
Page per Visit
0.41
Bounce Rate
45.78%
Mar 2023 - Mar 2024 All Traffic

Geography

Top 5 Regions

United States
14.71%
Andorra
6.60%
Vietnam
5.13%
Turkey
3.16%
India
2.69%
Mar 2023 - Mar 2024 Desktop Only

Traffic Sources

Search
70.84%
Direct
26.22%
Referrals
1.55%
Social
1.39%
Mail
0.00%
Display Ads
0.00%
Mar 2023 - Mar 2024 Worldwide Desktop Only

FAQ from Entry Point AI - Fine-tuning Platform for Large Language Models

What is fine-tuning?
What platforms are supported by Entry Point AI?
Is an API key required to use Entry Point AI?