Loading the library. Your next step is on its way.
Explore the ecosystem. Understand the evidence. Go straight to the source.
Find missing actors, unclear terms and untestable requirements.. A reusable task-specific prompt with explicit inputs, output structure and review checks.
Discover and manage model, dataset and application repositories on a shared hosting platform. Repository metadata is a starting point for further inspection.
Run and interact with supported models through a local application interface. Useful when evaluating a controlled local-model workflow.
Explore Google DeepMind’s research areas and published work through its official research site. Follow individual papers and project pages for precise claims.
Find published AI resources from Meta and follow their original explanations and release materials. Useful as a publisher entry point rather than a claim of exhaustive coverage.
Browse engineering explanations and implementation experiences from Anthropic. The collection is a source directory; individual articles need their own analysis.
Start prompt work with clear success criteria and an empirical way to test them. The guide connects instruction techniques with an evaluation process.
Learn how clear instructions, relevant context and examples shape model responses. Use the guide to turn a vague request into a testable prompt.
A library for working with pretrained models and their processors. It provides common interfaces while individual architectures and deployment needs still differ.
Load and transform datasets with a consistent library interface. Useful for building repeatable data preparation and evaluation pipelines.
A compact embedding model for mapping text into vectors for retrieval and similarity tasks. Its model card is the starting point for input formatting and deployment requirements.
A protocol for connecting AI applications with external tools, data and workflows. It helps separate an integration interface from the model that uses it.
Automate browser journeys across a real application. Use it to check navigation, forms, dialogs and failure states rather than relying only on isolated component tests.
An authentication framework with account, session and plugin capabilities. Useful for teams that want explicit control over authentication inside their application.
Run durable background jobs and recurring schedules using PostgreSQL. Useful when an application needs retries and asynchronous work without another queue datastore.
Store vector embeddings alongside relational data, then combine similarity matching with ordinary database filters. A practical starting point for semantic and hybrid search.
