# LIDA Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/lida
> Markdown URL: https://aitinkerers.org/technologies/lida.md
> Technology record last updated: 2026-02-24T11:07:29Z
> Generated: 2026-09-22T20:42:19Z

Microsoft Research's open-source framework for automating data exploration and visualization through Large Language Models.

LIDA streamlines the pipeline from raw data to visual insight by treating charts as executable code. Developed by Victor Dibia at Microsoft, the framework automates four key stages: data summarization, goal generation, visualization execution (using libraries like Altair and Matplotlib), and natural language refinement. It supports multiple LLM providers (including OpenAI and Cohere) to convert CSV or JSON files into production-ready infographics. The system eliminates manual plotting hurdles by allowing users to update visuals through simple conversational commands.

- Official technology site: https://github.com/microsoft/lida
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Cognitive Architectures -- A principled way to build agents](https://singapore.aitinkerers.org/talks/rsvp_9GgmNHjgPsk)

In the quest to build artificial intelligence, could understanding natural intelligence help? Cognitive architectures is the field of understanding and implementing the various building blocks of intelligence in cognitive science, offering a principled way to build agents. In this demo, I'll show some basic blocks that I've built and assembled into a coding agent.

- Event context: AI Tinkerers Singapore: 4th Meetup - January 10th, 2025 — 2025-01-10 — Singapore
- Public talk page: https://singapore.aitinkerers.org/talks/rsvp_9GgmNHjgPsk

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