LLM Tech Stack & Model Ecosystem
Explore how APIs, foundation models, embeddings, and infrastructure choices form a complete large language model ecosystem.
Learn More
Explore how APIs, foundation models, embeddings, and infrastructure choices form a complete large language model ecosystem.
Learn More
The LLM ecosystem is built around a combination of foundation models, embeddings, infrastructure decisions, and various API layers that enable developers to build intelligent applications.
Large pretrained models like GPT, Claude, and Llama that enable natural language tasks through generalized capabilities.
Numerical representations of text that enable semantic search, clustering, retrieval-augmented generation, and more.
Access methods for both closed and open models that allow developers to integrate language capabilities into applications.
Text, documents, and context that feed into models.
Convert data into vector representations.
Generate, classify, translate, and reason over text.
Deliver actionable output to users or downstream systems.
Using embeddings to match meaning rather than keywords.
Leveraging foundation models for conversation and automation.
Retrieval‑augmented generation using vectors and LLM reasoning.
A large pretrained model capable of performing many general‑purpose language tasks.
They allow systems to understand semantic relationships between pieces of information.
It depends on control, cost, privacy needs, and infrastructure capability.
Explore APIs, models, and infrastructure options to accelerate your AI development.
Explore More