Examples
Start building, testing and sharing your AI applications in minutes.
Explore our collection of real-world examples to see how Instill Core can power your AI applications. These use cases demonstrate how pipelines, models, and RAG-ready artifacts can be built, tested, and shared across domains—whether you're working with documents, audio, web data, or vision tasks.
All examples run on the modular infrastructure provided by Instill Core (cloud-hosted or self-hosted CE).
Pipelines
Discover the practical and diverse uses of Pipeline in real-world scenarios. Click here to explore all of the public pipelines available on our managed Instill Core platform.
Automate data extraction from websites with ease.
Convert spoken content into text quickly and accurately.
Query your Catalog to retrieve relevant information efficiently.
Create high-quality Chinese text content with Fireworks AI.
Craft unique and creative artwork using Mistral AI and OpenAI.
Develop short-film scripts using Mistral AI.
Prepare impressive STAR interview responses with the Groq AI component.
Streamline customer support by automating ticket triage and email drafting.
Organize and manage Jira issues efficiently with AI categorization.
Analyze and review contracts to ensure compliance and accuracy.
Screen resumes effectively using OpenAI's structured outputs feature.
Provide clear explanations of topics in multiple languages.
Generate concise summaries of GitHub issues using Claude-3.5-Sonnet to enhance project management.
Models
Explore the collection of advanced AI models that are already prepared and ready to be served on the Model platform. Click here to explore all of the models currently served on our managed Instill Core platform.
A powerful instruction-based model for high-quality text embeddings.
Engage in natural and context-aware conversations with this chat model.
Perform complex tasks with advanced instruction-following capabilities.
Specially trained for coding and programming-related tasks.
Handle multimodal inputs with vision-language capabilities.
Lightweight and efficient model for mobile vision applications.
Generate high-quality images using advanced diffusion methods.
Versatile model optimized for natural language embedding tasks.
Compact and efficient model tailored for lightweight applications.
Fine-tuned YOLOv7 model specialized in detecting plant stomata.
A high-performance model for general object detection tasks.
High-performance language model designed for a broad range of NLP tasks.
Tutorials
Our tutorials provide hands-on guides to building and deploying AI solutions using our platform. Each tutorial offers step-by-step instructions to help you create effective and customized AI applications.
Learn how to automate customer support workflows and email drafting.
Create a pipeline for summarizing web pages and answering questions.
Combine AI generation with blockchain technology to register your AI-generated data into Web3 assets.
Discover how to deploy and manage custom models using Instill Core.
Deploy the Llama2-7b-Chat model locally for enhanced chat capabilities.
Implement and serve the LLaVA model using Instill Core.
Notebooks
Explore interactive notebooks that provide practical examples of AI applications and leverage our products and services within Python environments.
Updated 4 months ago