# Paris NLP saison 8 Meetup #4
**Date de l'événement :** 05/06/2024
* Publié le 02/06/2024

### Galerie d'image
![600_521394852.webp](https://firebasestorage.googleapis.com/v0/b/memory-ai.appspot.com/o/prod%2FrKxsdSTpqCfzIFY8Y2hg%2FprojectsMedias%2F3pFrRGCmrt557Bzo79UP%2Fthumbs%2F600_521394852_1600x900.png?alt=media&token=7801bbe0-1412-4b74-b74c-9d9b96f39d84) 

## Description
**Publicis Sapient**, _Romain Benassi_, Consultant Data Scientist

**Title**: Extraction of medicine caracteristics from official documents

**Summary** : Few years ago, a project to set up a Data Science platform was carried out and enabled the industrialization of NLP models for extracting information from medical texts. The point was to develop strategic services such as giving access of relevant data, searching for medicine information or securing the prescriptions. This talk will focus on the constraints and technical issues surrounding the platform, as well as the different tools constituting it and the algorithms designed. A final discussion about how the emergence of GenAI might have changed the way such a project could be handled today will be conducted as well.

\---------------------

**Algolia**, _Paul-Louis Nech_, Research Machine Learning Engineer

**Title: Where’s the beef? Evaluating the quality of content in your GenAI Project**

\*\*Summary: \*\*So you created a GenAI project based on your company’s content and some LLMs. Is the generated content any good?

From eyeballing it during development to state-of-the-art user behavior tracking, there are many ways you can approach this.

In this talk, Paul-Louis will present a GenAI feature currently in Private beta at Algolia;

how they approached generating content for a diverse set of customers across the globe;

and a few techniques you can try for qualitative and quantitative assessments of your own generative projects!

**Lien :** [Inscription](https://www.meetup.com/fr-FR/paris-nlp/events/301014965/)

### Date
05/06/2024

## Ville
Paris

## Contact
94 Av. Gambetta · Paris

### Nature de l'évènement
`#Conférence` 

### Langue(s)
`#Français` 

### Continent
`#Europe` 

### Pays
`#France` 

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