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Data Labeler
Data Labeler
- Data Labeler Overview
- Getting Started
  Getting Started
  - Upload
    Upload
    
    Create Dataset
    
    Upload Unstructured
    
    Upload Structured
    
    Connect to Datasets
    
    Scrape from Websites
    
    Select from Hugging Face
    
    Load Existing Datasets
  - Customize
  - Annotate
  - Download
  - About
- Data Labeler Tutorials
  Data Labeler Tutorials
Fine Tuning Library
Fine Tuning Library
- Fine Tuning Overview
- Fine Tuning SDK
  Fine Tuning SDK
  - Setup
  - Train
  - Predict
  - Predict All
  - Evaluate
  - Check Status
  - View Predictions
- Fine Tuning SDK Examples
  Fine Tuning SDK Examples
- Fine Tuning Use Case
  Fine Tuning Use Case
Private Chatbot
Private Chatbot
- Private Chatbot Overview
- Private Chatbot SDK
  Private Chatbot SDK
- Private Chatbot SDK Examples
  Private Chatbot SDK Examples
- Private Chatbot Use Case
  Private Chatbot Use Case
Agents
Agents
- Agents Overview
- Agents SDK
  Agents SDK
  - Setup
  - Agents
  - Tasks
  - Crews
  - Tools
  - Workflows
- Agents SDK Examples
  Agents SDK Examples
- Agents Use Cases
  Agents Use Cases
Synthetic Data
Synthetic Data
- Synthetic Data Overview
- Synthetic Data SDK
  Synthetic Data SDK
  - Setup
  - Generate
- Synthetic Data SDK Examples
  Synthetic Data SDK Examples
  - Text Example
Capabilities
Capabilities
- Classifying Text
  Classifying Text
- Extracting Entities
  Extracting Entities
- Answering Questions
  Answering Questions
- Evaluation
  Evaluation
Technologies
Technologies
- Few Shot Learning
  Few Shot Learning
- Human Centered AI
  Human Centered AI
- Multi Person Collaboration
  Multi Person Collaboration
- Programmatic Labeling
  Programmatic Labeling
Bluetide Presentation
Bluetide Presentation
- Introduction And TRL
- Technology Relevance To Mission
- Dual Use Potential
- Past Research and Limitations
- Product Demonstration
  Product Demonstration
  - Approach
  - Overview
  - Product
  - Evaluation
- Statement Of Work

Overview

The Private Chatbot API is a software developer kit designed for developers to leverage Private LLMs to upload documents, chat with them and evaluate the answers. There are 3 API endpoints:

Upload: Upload documents or specify a ticker for data retrieval and Q&A.
Chat: Send a message to the chatbot based on documents previously uploaded.
Evaluate: Evaluate predictions on one or multiple documents/text.

If you are a first time user looking to get started, navigate to setup.md, if you are looking for applications of the technology navigate to capabilities or see our Private Chatbot developer cookbook.