Objectif :
At the end of this training, participants will be able to:
1- Compare traditional and AI-augmented preparation processes
2- Identify where AI can streamline research, terminology, and briefing tasks
3- Explain key AI concepts (NLP, LLMs, MT)
4- Distinguish between AI tools (Chat GPT, Claude, Gemini, DeepL, etc.), understanding their capabilities and limitations
5- Use AI to extract domain-specific terminology from conference materials
6- Build, validate, and format multilingual glossaries aligned with institutional standards
7- Generate speaker profiles using AI tools based on bios, speeches, and public statements
8- Summarize lengthy, technical documents quickly using AI while maintaining accuracy
9- Make informed decisions about when and how to use AI responsibly in interpreting contexts
10- Set up quick-access prompts and tools for in-booth use
Contenu :
At the end of this training, participants will be able to:
1- Compare traditional and AI-augmented preparation processes
2- Identify where AI can streamline research, terminology, and briefing tasks
3- Explain key AI concepts (NLP, LLMs, MT)
4- Distinguish between AI tools (Chat GPT, Claude, Gemini, DeepL, etc.), understanding their capabilities and limitations
5- Use AI to extract domain-specific terminology from conference materials
6- Build, validate, and format multilingual glossaries aligned with institutional standards
7- Generate speaker profiles using AI tools based on bios, speeches, and public statements
8- Summarize lengthy, technical documents quickly using AI while maintaining accuracy
9- Make informed decisions about when and how to use AI responsibly in interpreting contexts
10- Set up quick-access prompts and tools for in-booth use
Langue(s) d'enseignement :
Anglais
Récurrence :
Forme :
Présentiel
Lieu :
Campus des sciences humaines
Nombre d'heures :
6.00 heures
Droit d'inscription :
0 payables à la banque Audi ou au secrétariat de l'institution
Personne à contacter :