Computer Scientist with expertise in AI-driven solutions, with a strong background in Machine Learning, NLP, large language models (LLMs) and data modelling. Passionate about functional programming.
Fluent in: 🇪🇸 Spanish, 🇬🇧 English, 🇩🇪 German
Computer Scientist with expertise in AI-driven solutions, with a strong background in Machine Learning, NLP, large language models (LLMs) and data modelling. Passionate about functional programming.
Fluent in: 🇪🇸 Spanish, 🇬🇧 English, 🇩🇪 German
Forked from cdpierse/transformers-interpret
Model explainability that works seamlessly with 🤗 transformers. ✅ My contribution TokenClassification Explainer(https://github.com/cdpierse/transformers-interpret/pull/88)
Jupyter Notebook
Streamline your life using PromptingTools.jl, the Julia package that simplifies interacting with large language models.
All-in-one RAG toolkit—from quick prototypes to advanced pipelines.
Linear and logarithmic quantization for Julia arrays
Comparison of methods based on pre-trained Word2Vec, GloVe and FastText vectors to measure the semantic similarity between sentence pairs
Active Learning for Relation Extraction Task from Medical Text
Jupyter Notebook