# Library Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/library
> Markdown URL: https://aitinkerers.org/technologies/library.md
> Technology record last updated: 2026-03-05T10:05:07Z
> Generated: 2026-09-22T22:37:06Z

A pre-compiled collection of code (functions, classes) that developers use to accelerate program construction: essential for software reuse (e.g., React, Python's standard library).

A software library is a reusable package: pre-written code, functions, and data designed to execute specific tasks, preventing developers from 'reinventing the wheel.' It promotes modularity and efficiency, abstracting complex operations (like system calls) through a simple Application Programming Interface (API). Libraries are categorized by their linking method (static vs. dynamic/shared) and function. For example, web developers use jQuery for DOM manipulation, while system programs might use a dynamic library like `libvorbisfile` for Ogg Vorbis audio playback. This modular approach significantly reduces development time and code redundancy across projects.

- Official technology site: https://en.wikipedia.org/wiki/Library_(computing)
- Public AI Tinkerers demos and talks: 4
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Training a small world model into a superhuman player at competitive pokemon](https://toronto.aitinkerers.org/talks/rsvp_UxzGmf_2Ipo)

World models are the hot new "it" in AI, and I will demo a simple world model capable of superman performance in 1v1 competitive pokemon play in pokemon showdown. I will walk over the following points 1) what is competitive pokemon and why is it harder than Go. I will explain why pokemon team selection is the largest factor in success, followed by strategic pokemon switches. 2) the world model encoder, predictor and decoder architecture and training pipeline. A deeper analysis will go over some of the training logs in weights and biases, the tokenizer and embedding interpretability 3) The world model bot will be available for players to challenge on pokemonshowdown.com

- Event context: AI Tinkerers Toronto - June 2026 - with Relay Financial x PostHog — 2026-06-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_UxzGmf_2Ipo

### [Objetos de aprendizaje conducidos por IA](https://medellin.aitinkerers.org/talks/rsvp_8wTJzmdM4rs)

Como desarrollar objetos virtuales de aprendizaje, interactivos, y lo mejor, creador por IA.

- Event context: AI Tinkerers Medellín #10 - 26 de Febrero 2025 — 2025-02-26 — Medellín
- Public talk page: https://medellin.aitinkerers.org/talks/rsvp_8wTJzmdM4rs

### [A new CLI/Library for evals](https://austin.aitinkerers.org/talks/rsvp_tmBFag9qz7M)

I'd like to show off a new configuration-based evaluation system for LLMs that I've been working on. The project is a an evaluation CLI for running evaluations on prompts with datasets or for existing model output, either from a production system or from some other run mechanism.

- Event context: July Meetup: Community AI Demos — 2024-07-11 — Austin
- Public talk page: https://austin.aitinkerers.org/talks/rsvp_tmBFag9qz7M

### [Cross-training models on multiple providers](https://seattle.aitinkerers.org/talks/rsvp_Z0XdL4RVkyw)

OpenPipe is releasing an open-source library to streamline the process of fine-tuning an LLM on any provider with minimal effort. We've personally benefited from the open-source community in numerous ways, and we'd like to show developers how easy it is to use the latest tools to save massive amounts on compute costs.

- Event context: AI Tinkerers Seattle - April 2024 Meetup — 2024-04-26 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_Z0XdL4RVkyw

## Related Technologies

- [PyTorch](https://aitinkerers.org/technologies/pytorch) ([Markdown](https://aitinkerers.org/technologies/pytorch.md)) — 273 public demos
- [Backend](https://aitinkerers.org/technologies/backend) ([Markdown](https://aitinkerers.org/technologies/backend.md)) — 7 public demos
- [BERT](https://aitinkerers.org/technologies/bert) ([Markdown](https://aitinkerers.org/technologies/bert.md)) — 179 public demos
- [CLI](https://aitinkerers.org/technologies/cli) ([Markdown](https://aitinkerers.org/technologies/cli.md)) — 9 public demos
- [datasets](https://aitinkerers.org/technologies/datasets) ([Markdown](https://aitinkerers.org/technologies/datasets.md)) — 6 public demos
- [Evals](https://aitinkerers.org/technologies/evals) ([Markdown](https://aitinkerers.org/technologies/evals.md)) — 4 public demos
- [Fine-tuning](https://aitinkerers.org/technologies/fine-tuning) ([Markdown](https://aitinkerers.org/technologies/fine-tuning.md)) — 20 public demos
- [frontend](https://aitinkerers.org/technologies/frontend) ([Markdown](https://aitinkerers.org/technologies/frontend.md)) — 6 public demos
- [Generative AI](https://aitinkerers.org/technologies/generative-ai) ([Markdown](https://aitinkerers.org/technologies/generative-ai.md)) — 45 public demos
- [GPT-3](https://aitinkerers.org/technologies/gpt-3) ([Markdown](https://aitinkerers.org/technologies/gpt-3.md)) — 191 public demos
- [GPT-4](https://aitinkerers.org/technologies/gpt-4) ([Markdown](https://aitinkerers.org/technologies/gpt-4.md)) — 529 public demos
- [JavaScript](https://aitinkerers.org/technologies/javascript) ([Markdown](https://aitinkerers.org/technologies/javascript.md)) — 40 public demos
- [Keras](https://aitinkerers.org/technologies/keras) ([Markdown](https://aitinkerers.org/technologies/keras.md)) — 74 public demos
- [LLMs](https://aitinkerers.org/technologies/llms) ([Markdown](https://aitinkerers.org/technologies/llms.md)) — 83 public demos
- [ONNX](https://aitinkerers.org/technologies/onnx) ([Markdown](https://aitinkerers.org/technologies/onnx.md)) — 83 public demos
- [OpenPipe](https://aitinkerers.org/technologies/openpipe) ([Markdown](https://aitinkerers.org/technologies/openpipe.md)) — 4 public demos
- [Open Source](https://aitinkerers.org/technologies/open-source) ([Markdown](https://aitinkerers.org/technologies/open-source.md)) — 12 public demos
- [poke-env](https://aitinkerers.org/technologies/poke-env) ([Markdown](https://aitinkerers.org/technologies/poke-env.md)) — 1 public demo