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.
Web scraper
Automate data extraction from websites with ease.
Audio transcription
Convert spoken content into text quickly and accurately.
Ask your catalog
Query your Catalog to retrieve relevant information efficiently.
Chinese content writer
Create high-quality Chinese text content with Fireworks AI.
PicassoAI art generator
Craft unique and creative artwork using Mistral AI and OpenAI.
Generate short-film scripts
Develop short-film scripts using Mistral AI.
Interview helper
Prepare impressive STAR interview responses with the Groq AI component.
Customer ticket triage
Streamline customer support by automating ticket triage and email drafting.
Project manager assistant
Organize and manage Jira issues efficiently with AI categorization.
Contract reviewer
Analyze and review contracts to ensure compliance and accuracy.
Resume screening
Screen resumes effectively using OpenAI's structured outputs feature.
Explain and translate
Provide clear explanations of topics in multiple languages.
GitHub issue summarization
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.
gte-Qwen2-1.5B-instruct
A powerful instruction-based model for high-quality text embeddings.
llama2-7b-chat
Engage in natural and context-aware conversations with this chat model.
llama3-8b-instruct
Perform complex tasks with advanced instruction-following capabilities.
llamacode-7b
Specially trained for coding and programming-related tasks.
llava-1-6-13b
Handle multimodal inputs with vision-language capabilities.
mobilenetv2
Lightweight and efficient model for mobile vision applications.
stable-diffusion-xl
Generate high-quality images using advanced diffusion methods.
stella-en-1.5B-v5
Versatile model optimized for natural language embedding tasks.
tinyllama
Compact and efficient model tailored for lightweight applications.
yolov7-stomata
Fine-tuned YOLOv7 model specialized in detecting plant stomata.
yolov7
A high-performance model for general object detection tasks.
zephyr-7b
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.
Build a customer ticket classifier & email drafting pipeline
Learn how to automate customer support workflows and email drafting.
Build a webpage summarization and Q&A pipeline
Create a pipeline for summarizing web pages and answering questions.
Build an AIGC x Web3 pipeline
Combine AI generation with blockchain technology to register your AI-generated data into Web3 assets.
Serve custom models on Instill Core
Discover how to deploy and manage custom models using Instill Core.
Serve Llama2-7b-Chat Locally on Instill Core
Deploy the Llama2-7b-Chat model locally for enhanced chat capabilities.
Serve LLaVA with Model
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 about 6 hours ago