Skip to main content
Aymane Hachcham on Muck Rack

Aymane Hachcham

As seen in: Medium, VentureBeat, Towards Data Science
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Aymane

Contact Aymane, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments

|
By Chiara Colesanti, Aymane Hachcham, Saeid Ario, Veronica Grasso
| arxiv.org
Open in Who Shared Issue with article?

Text Summarization with GPT2 and Layer AI

|
By Aymane Hachcham
| Towards Data Science
Quick Tour of the Transformers Library Attention Based Models An attention mechanism in machine learning is based on how our own cerebral cortex works. When we examine a picture to describe it, we naturally focus our attention on a few key places that we know hold crucial information. We don’t examine every detail of the image with the same intensity. When dealing with complicated data to analyze, this approach can help save processing resources.
Open in Who Shared Issue with article?

Text Summarization with GPT2 and Layer AI

|
By Aymane Hachcham
| Towards Data Science
The Transformer soon became the most popular model in NLP after its debut in the famous article Attention Is All You Need in 2017. The capacity to analyze text in a non-sequential manner (as opposed to RNNs) enabled large models to be trained. The introduction of an attention mechanism proved tremendously valuable in generalizing text.
Open in Who Shared Issue with article?
See all 8 articles