Masterclass - Market tools to implement generative AI
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Masterclass - Market tools to implement generative AI
Explore Generative Artificial Intelligence (GAI) from its fundamentals to practical applications, optimization methods and future challenges in this interactive talk.
Specific goals | Temary
In this Masterclass, Generative Artificial Intelligence (GAI) will be explored, from its foundations to practical applications.
SPECIFIC GOALS
- Understand the Fundamentals of IAG: At the end of the training, you will be able to define and understand in depth what Generative Artificial Intelligence is and how it has evolved over time.
- Mastering Advanced Generative Models: You will gain solid knowledge of different types of generative models, such as GANs, VAEs and Transformer-based models, and understand their practical applications in various fields.
- Apply Effective Optimization Methods: You will learn key techniques to train, optimize and refine generative models, including fine-tuning, recovery augmented generation (RAG) and prompt engineering, thus improving the quality of the generations and the efficiency of the model
- Navigate the Ecosystem of Tools and Technologies: You will gain practical skills to use development frameworks, cloud platforms and specialized libraries, allowing you to implement IAG solutions effectively and efficiently.
TEMARY
1. Introduction
- Definition of Generative Artificial Intelligence (GAI)
- Brief history and evolution of the IAG
2. Generative models
- What are generative models?
- Types of generative models: Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), Transformer-based Models (such as GPT and BERT)
- IAG practical applications
3. Optimization methods: unlocking the potential of generative models
- Training an AI model from scratch
- Fine-Tuning
- Recovery Augmented Generation (RAG)
- Prompt Engineering
4. Tools and Technologies
- Development frameworks
- Cloud platforms and AI services
- Specialized libraries and optimization tools
5. Challenges, limitations and future of Generative Artificial Intelligence
- Quality and consistency of the generations
- Computational and data requirements
- Emerging trends and technological advances
- Future potential and opportunities
6. Prayers and questions, and open classroom for experimentation in real time
Editions
Thu 27/06/24 (18:00-19:30h)
Cibernàrium-22@
Carrer Roc Boronat, 117 - 127,
BARCELONA
General information
>> Entry to the classroom will not be allowed after 15 minutes, once the activity has started.
>> The language in which each session is given is reported in the description of each activity.
>> Any of Cibernàrium's training actions can be recorded through a system of capturing images whose purpose is their subsequent dissemination through a medium or support
in the scope of Barcelona Activa's mission to contribute to economic promotion and employment.
In the recording process, images of the attendees may eventually be recorded formation. Registration for Cibernàrium activities implies the authorization to Barcelona Activa of make use of these images for the above purpose.
Course ratings
Lesson taught by
![](/o/cibernarium-theme/images/common/userDefault.png)
HERRUZO LODEIRO
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