Worked, runnable examples organized by industry vertical and by technical topic.
Tutorials
This section contains tutorials that showcase relevant use cases and provide step-by-step instructions on how to implement various features using Flyte and Union. Tutorials are organized by industry vertical and by technical topic.
Industry verticals
Biotech & Healthcare
Bioinformatics, medical imaging, and other life-sciences workloads.
Geospatial
Satellite imagery, remote sensing, and earth and atmospheric modeling workloads.
Financial Services & Fintech
Financial research, trading, and other fintech workloads.
Frontier AI
Frontier-model pretraining, automated experimentation, and large-scale AI workloads.
Technical topics
Computer Vision
Image and vision-language model workloads.
Agents
Agentic workflows and autonomous LLM-powered systems.
Context Engineering
Prompt engineering, prompt optimization, and context construction.
Model Training
Training, fine-tuning, and hyperparameter optimization of models at scale.
Speculative Decoding Models
Train, benchmark, serve, and continually retrain draft models that make an LLM generate faster without changing its outputs.
Reinforcement Learning
RL fine-tuning of language models.
Data Processing
Large-scale data processing and batching strategies.
Inference
Serving models and building inference applications as Flyte apps.