- 🙋♂️ My name is João Lages
- 👷 Deep Learning Engineer @ Revolut
- 🌱 I’m interested in everything about machine learning, with focus on deep learning applied to text, images, tabular data, video, speech, time-series, anything!
- 📫 How to reach me: joaop.glages@gmail.com
- ✍️ Blog posts:
- Model Merging: MoE, Frankenmerging, SLERP, and Task Vector Algorithms 🧌 - Deep dive on how LLM merging methods work (co-authored with Deci AI)
- OpenAI JSON Mode vs Functions - Practical differences between these two ways of using OpenAI API
- Direct Preference Optimization (DPO) - A simplified explanation of the DPO algorithm applied to large language models, like Zephyr
- Reinforcement Learning from Human Feedback (RLHF) 🙋♂️ - A simplified explanation of the RLHF algorithm applied to large language models, like ChatGPT
- Transformers KV Caching Explained 💾 - A short writing on how Key and Value states are cached in transformers for faster inference
- Transformers Positional Encodings Explained 📝 - Positional encoding and how it limits the input size of language models
- Mahalanobis for outlier detection - A simple demo on how to use mahalanobis distance for outlier detection
- ⭐ Main open-source contributions:
- Diffusers-Interpret 🤗🧨🕵️♀️ - Own package, a model explainability tool built on top of 🤗 Diffusers
- Ecco - Major contributions to this package that is used to explain, analyze, and visualize NLP language models
- AI Reading Group - Co-author of an open AI reading group from 2019-2023
- RATransformers 🐭 - Own package, used to make transformer models relation-aware
- 🤗 datasets - implemented the mahalanobis distance metric