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

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

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

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

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

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

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

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

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

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

Share work in progress and get honest, kind feedback.

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

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

Discover, share, discuss, and critically examine new research papers in NLP and language technology.

Discover and discuss NLP libraries, frameworks, APIs, models, datasets, platforms, and useful resources.

Share and discuss linguistic corpora, NLP datasets, data collection, preparation, licensing, and quality.

Discuss annotation methods, labelling guidelines, annotation tools, quality control, and human-in-the-loop workflows.

Share model experiments, benchmarks, results, evaluation methods, failures, and lessons learned.