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Senior AI Engineer
Senior AI Engineer building production GenAI systems with measurable impact.
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Notes on evaluation, retrieval, prompting, and applied AI.
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Posts
The Hidden Truth About LLM Performance: Why Your Benchmark Results Might Be Misleading
Published:
There are two systematic issues with benchmarks, which were already present in the community before the advent of LLMs but became worse …
Exploring Advanced Prompt Engineering with Google’s New Gemma Models
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Today, Google launched a new set of models named Gemma. These models are based on the same tech and research used for creating the Gemini…
🚀 Launching Napolab: The Natural Portuguese Language Benchmark 📊
Published:
Napolab is here: a curated collection of Portuguese datasets designed for easy evaluation of language models.
Hashformers v2.0.0 is out! 🚀
Published:
Hashtag segmentation, the task of adding spaces between words in a hashtag, can now be done with Large Language Models (LLMs).
A Simple Method to Detect In-Demand Tech Skills
Published:
It’s no secret that the tech landscape is dynamic and ever-evolving. New technologies are born, they mature, and then, often, they are…
Hashformers: Hashtag Segmentation Applications in Abusive Language Detection
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Abusive language detection, a critical aspect of modern NLP research, is often challenged by the lack of generalization across different…
📢 New Portuguese NLP Model Alert! 🇵🇹 🇧🇷
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I am thrilled to announce the latest milestone in the advancement of Portuguese language technology — the Albertina PT ! This breakthrough…
15 Datasets for Word Segmentation on the Hugging Face Hub
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Word segmentation is the task of adding spaces between words. It can be an important preprocessing step in Natural Language Processing…
The cold start problem in NLP
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The cold start problem in NLP:
The word ‘had’ and the calendar in Finnegans Wake
Published:
A calendar in the Wake
Integrating Ray Tune, Hugging Face Transformers and W&B
Published:
Update 03/21/2021: I published my modified version of run_glue.py as a public gist on GitHub.