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Custom Chat GPT:
Creating your own ChatGPT-like model is possible, but it requires significant expertise in natural language processing (NLP) and machine learning (ML).
You need a deep understanding of the underlying architectures and techniques used in large language models (LLMs), as well as the ability to implement and train them. Fortunately, there are open-source resources available, such as Hugging Face’s Transformers library, that can serve as a starting point.
Hugging Face Transformers is a popular open-source library for NLP tasks. It provides a wide range of pre-trained models, tools, and utilities that enable developers to work with state-of-the-art models efficiently. The library is developed by Hugging Face, a company focused on democratizing AI.
Introducing Simple Custom GPT
CustomGPT.ai is a no-code platform for building custom AI chatbots trained on your business data. It is designed to provide accurate, cited responses while minimizing hallucinations, all without requiring technical training. The platform supports document ingestion from sources like Google Drive, websites, and APIs. These custom agents can be deployed for customer support, sales enablement, and knowledge management.
Overview
CustomGPT.ai enables businesses to create tailored AI chatbots rapidly. The platform emphasizes precise interactions with proprietary data, featuring best-in-class accuracy with citations, SOC-2 Type 2 and GDPR compliance, and versatile deployment options.
Best Users
Businesses needing secure, accurate AI for support, sales, onboarding, or content creation benefit most. Its no-code setup and anti-hallucination technology are valuable for non-technical teams handling customer queries or knowledge bases, as seen in case studies with companies like Dlubal and Lehigh University.
Deployment Steps
- Upload Data: Connect data sources via API, Google Drive, websites, or other supported methods using the no-code interface.
- Build & Customize: Configure and build your AI agent.
- Deploy: Integrate internally (e.g., SharePoint, Slack) or externally (e.g., website widget, API for custom applications).
Safety Features
CustomGPT.ai prioritizes security: data is encrypted in transit (SSL) and at rest (256-bit AES). It operates on a per-agent basis, with no data sharing between bots. The platform holds SOC-2 Type II compliance, aligns with GDPR, and uses secure infrastructure providers.
Pricing Details
| Plan | Monthly (Billed Annually) | Monthly (Billed Monthly) | Key Limits |
|---|---|---|---|
| Standard | $89 | $99 | 10 agents, 5K documents, 1K queries/month |
| Premium | $449 | $499 | 25 agents, 20K documents, 5K queries/month |
| Enterprise | Contact Sales | Contact Sales | 150+ agents, 100K+ documents, custom queries |
A free trial is available, with proof-of-concept (POC) packages for enterprises.
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Hugging Face is the collaboration platform for the machine learning community.
The Hugging Face Hub works as a central place where anyone can share, explore, discover, and experiment with open-source ML. HF empowers the next generation of machine learning engineers, scientists, and end users to learn, collaborate and share their work to build an open and ethical AI future together.
With the fast-growing community, some of the most used open-source ML libraries and tools, and a talented science team exploring the edge of tech, Hugging Face is at the heart of the AI revolution. Visit Hugging Face