Spaces

Discuss intelligent agents, autonomous workflows, tool use, multi-agent systems, and agentic applications.

Explore structured knowledge, entities, relationships, graph databases, knowledge representation, and GraphRAG.

Discuss how meaning is represented, interpreted, and computationally modelled in human language.

Explore terminology management, specialised vocabulary, dictionaries, lexical resources, and computational lexicography.

Discuss translation workflows, localisation technology, multilingual content, quality, and language-industry practices.

Explore neural machine translation, multilingual models, translation quality, evaluation, and emerging technologies.

Discuss extracting entities, relationships, events, facts, and structured knowledge from unstructured text.

Discuss deep neural architectures, representation learning, training techniques, and modern AI applications.

Explore machine-learning algorithms, model training, feature engineering, evaluation, and practical applications.

Share work in progress and get honest, kind feedback.

Explore attention mechanisms, transformer architectures, model training, optimisation, and emerging research.

Discuss AI systems that combine language with images, audio, video, and other forms of information.

Explore retrieval-augmented generation, semantic search, vector databases, embeddings, and knowledge retrieval.

Core Web Vitals, bundle budgets, and real-device profiling.

Tokens, components, and governance for the system team.

Audits, fixes, and WCAG questions pulled from real project work.

A shared library of interface patterns and when to reach for each.