Research | Transcendent AI

AI Researchers

AI Scientist automates research, generating ideas, running experiments, and writing papers, challenging AI's role in novel scientific discov

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Understanding what the ML models have learned

Models could spread bias and discrimination if you don't know what they have learned. Here we show a technique to prevent it.

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Biases in LLMs

Explore the hidden biases in LLMs and their impact. The opinions of which sector of society are reflected in them?

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Retrieval Augmented Generation: Increasing knowledge of your LLM

Dive into the world of Retrieval-Augmented Generation! See how RAG transforms AI responses by blending retrieval with generation.

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The Mathematics of Language

Computers model text with vectors. Using Word2Vec, FastText, and Transformers, they understand and generate context-aware text. Learn how!

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MLFlow + Hydra: A Framework for Experimentation with Python

In this article I share a experimentation framework I work with in my daily job. It uses MLFlow and Hydra to facilitate hypothesis testing.

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Tracking Multiple Experiments with Hydra

In this article we'll explore Hydra, a tool for managing multiple configuration parameters and file when doing machine learning for research

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Analyzing Discourse with Artificial Intelligence: What is Argumentation Mining?

Are political discourses consistent? Is a judgment fair? In this article, we'll explore argumentation mining, an AI field to analyze debates

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Keeping Track of Experiments with MLFlow

This article introduces MLFlow and shows you how this great tool can help you boost your productivity in an experimentation environment.

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