Examples

Explore our comprehensive collection of examples to see the capabilities of Instill Core in action. Whether you're interested in pipelines, models, tutorials, or notebooks, these resources showcase practical AI and data applications, and guide you through how to leverage our services effectively.

Pipelines

Discover the practical and diverse uses of Pipeline in real-world scenarios. Click here to explore all of the public pipelines available on Managed Instill Core.

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 pre-prepared and ready to be served on the Model platform. Click here to explore all of the models currently served on Managed Instill Core.

gte-Qwen2-1.5B-instruct

A powerful instruction-based model for high-quality text embedding.

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 multi-modal 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 and Managed Instill Core.

Notebooks

Explore interactive notebooks that provide practical examples of AI applications and leverage our products and services within Python environments.

Instance Segmentation with Managed Instill Core

Perform instance segmentation tasks using a custom fine-tuned model served on Instill Cloud.

Generating Structured Outputs from LLMs

Explore structured output generation from LLMs and overcome key challenges with Pipeline.

Instill AI Cookbook

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