Stage - Generative Ai Surveys Analysis Intern

Il y a 5 mois

Paris, France Saint Gobain Temps plein

**Pourquoi a-t-on besoin de vous ?** Context**

Generative AI has opened a great number of opportunities to extract a large share of the business value from high volume open text datasets.

In particular, in Saint-Gobain, some very large internal and external surveys (>10,000 respondents) only analyze a limited number of open-text verbatims today, because it requires human reading.

Therefore an internal initiative has been developed to build an AI tool to analyze these surveys at scale.

**Internship Description**

The objective of this internship will be to develop technological bricks to meet Saint-Gobain Business Units needs.

The following topics are examples of topic of interest that could be addressed during the internship:

- Thematic classification of multilingual verbatims using ADA embedding and Chat-GPT
- Detection of intentions _(e.g. suggestions, claims)_ in verbatims using a combination of simple rule-based techniques and advanced generative AI techniques _(e.g. Retrieval-Augmented Generation)_
- Design overviews visualizations on verbatims metrics for executive summaries
- Detection of named entities using Generative AI
- Build customized distances between verbatims and Chat-GPT generated summaries
- Benchmark most recent GenAI algorithms (Open AI, Mistral,) to find which model suits best the tasks of interest
- Customization of ADA embedding to answer business specific questions
- Scaling on different types of large surveys in Saint-Gobain

The results of this internship will be directly used in the AI tool and presented to identified Saint-Gobain Business Units.

**Technologies we use**
- Python
- Azure Machine Learning
- Generative AI : Chat GPT / ADA embedding
- Streamlit

**Ce poste est-il fait pour vous ?**
- Being friendly and open to collaboration
- Good programming skills and familiar with Python/Git and open source tools
- Results oriented; with a motivation to have an impact on the field
- Experience in Generative AI and Prompt Engineering is a plus
- Excellent communication skills.
- Student in engineering school or university, specialized in Machine Learning, Computer Science, Statistics or related fields

Job Reference: FRA26218

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