# ELMo Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/elmo
> Markdown URL: https://aitinkerers.org/technologies/elmo.md
> Technology record last updated: 2026-03-07T14:41:55Z
> Generated: 2026-08-25T23:18:24Z

ELMo provides deep contextualized word representations by using a bidirectional LSTM trained on a massive language modeling objective.

Developed by the Allen Institute for AI (AI2) in 2018, ELMo (Embeddings from Language Models) generates vector embeddings that change based on a word's surrounding context. Unlike static models like word2vec, ELMo uses a two-layer BiLSTM to distinguish between different meanings of the same word (e.g., 'bank' as a river edge versus a financial institution). This architecture improved the state of the art across six major NLP benchmarks, including SQuAD and SNLI, by capturing both complex syntax and nuanced semantics.

- Official technology site: https://allennlp.org/elmo
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Enhancing AI with RAG - Techniques to improve accuracy](https://bogota.aitinkerers.org/talks/rsvp_QjI40TNRTXw)

This talk explores how to optimize AI companions for project management using RAG. Standard RAG models struggle with context, leading to incomplete or inaccurate data retrieval, which is important when managing resources and making decisions. We’ll explore GraphRAG and context-aware RAG, which use knowledge graphs and enhanced contextual embeddings to improve the precision and relevance of information retrieval.

- Event context: AI Tinkerers Octubre en Colombia 4.0 — 2024-10-30 — Bogotá
- Public talk page: https://bogota.aitinkerers.org/talks/rsvp_QjI40TNRTXw

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