11 min read
Types of World Models in AI and Their Use Cases
The main types of world models in AI: latent-space, JEPA, generative, and object-centric, with real use cases in driving, robotics, games, and science.
Blog
Models & Cost
Running models, token efficiency, and keeping inference bills down.
- 12 min read
Run a MoE LLM Locally on Your GPU & Connect It to a BaaS
Learn how to run a MoE LLM locally on your GPU and wire it to a BaaS backend. A step-by-step guide to fast, cost-efficient AI in your own stack.
- 11 min read
How to Reduce LLM API Costs Without Sacrificing Quality
Learn how to reduce LLM API costs without sacrificing quality using model routing, prompt caching, token trimming, batching, and smart cost tracking.
- 13 min read
Streaming MoE Experts On-Demand: Big LLMs, Tiny RAM
Streaming MoE experts on-demand lets you run massive language models on minimal RAM. Learn how expert offloading works and why it changes everything.
- 11 min read
Token Efficiency: How to Design Efficient AI Systems
A step-by-step guide to token efficiency: measure usage, tighten prompts, add caching, route models, and cut LLM costs while keeping AI systems fast.