El contendido de esta presentación abarca los siguientes temas: • ¿Qué es la IA generativa? • ¿Qué puede hacer y qué no puede hacer la IA? • Casos de uso comunes: escribir, leer y chatear • Términos: Peticiones (prompts) y los modelos de aprendizaje automático (LLM: large language models) y consejos para hacer peticiones. • Análisis de las tareas en puestos de trabajo que presentan cierto potencial para su automatización o aumento. • Inteligencia artificial responsable y ética • Conclusiones También incluye consejos para Hacer peticiones: 1. Se detallado y específico (claro) 2. Guía al modelo para que piense en sus respuestas. 3. Experimenta y repite 4. No pienses demasiado en la petición inicial 5. Ten cuidado con la información confidencial 6. Utiliza tu pensamiento crítico: ¿Confías o no en el resultado obtenido? Conclusiones: ¿En qué se diferencia la IA generativa de la IA tradicional? Se centra en la creación, no sólo en el análisis. Es importante familiarizarse con términos básicos para comprender el mundo de la IA generativa. La IA generativa tiene un potencial enorme para mejorar la eficiencia y la creatividad en muchos campos. Es importante ser realista sobre las limitaciones de IA generativa y utilizarla de manera responsable. Al observar tu propio trabajo, puedes identificar áreas donde la IA generativa puede ser útil. Trabajar con la IA generativa puede ser una experiencia emocionante, desafiante y gratificante.

1. GENERATIVE ARTIFICIAL
INTELLIGENCE
HOW GENERATIVE AI WORKS
©INGRID AIRI GONZÁLEZ
AI generated image: Copilot

2. • What´s generative AI?
• What it can and cannot do
• Common use cases: Writing, reading,
chatting
• Terms: Prompts and LLMs
• Lifecycle of a generative AI project
• Analysing tasks in jobs for automation or
augmentation potential
• Responsible and ethical AI
• Conclusions
©INGRID AIRI GONZÁLEZ
AI generated image: Copilot

3. WHAT´S GENERATIVE ARTIFICIAL INTELLIGENCE?
AI refers to machines that can simulate human intelligence,
like learning and problem-solving. Generative AI, a specific
branch of AI, takes it a step further. It can not only
understand information but also use it to create entirely new
things, like text, images, videos, audios or even music.
• It´s like having an AI artist or writer at your disposal. It
allows you to input various prompts and receive new content
in response: output. Think of it as a magical tool that can
create fresh text, images, videos, sounds, code, 3D designs,
and more.
•
©INGRID AIRI GONZÁLEZ
AI generated image: Copilot

4. WHAT GENERATIVE AI CAN AND CANNOT DO
 Can:
o Generate creative text formats, like poems, code, scripts,
musical pieces, email, letters, etc.
o Create realistic images and videos.
o Translate languages.
o Answer your questions in an informative way.
 Cannot:
o Replace human creativity, judgment, and common sense.
o Understand the real world or the meaning behind information.
o Feel emotions or have consciousness.
o Bias and toxicity /hallucinations /knowledge cutoffs
©INGRID AIRI GONZÁLEZ

5. 2 ESSENTIAL TERMS TO UNDERSTAND GENERATIVE AI
Prompts: Specific instructions given to the generative AI
model to guide its creative process. Imagine giving a
recipe to a chef, but instead of ingredients, you give
instructions for generating text, images… (imput)
Large Language Models (LLMs): These are the secret
sauce! LLMs are like super-smart language experts. A
system that has learned from tons of existing texts and
documents available online. When you give them a
prompt, they use their knowledge to generate new
content just by listening to your cues.
©INGRID AIRI GONZÁLEZ

6. WHICH TASKS CAN GENERATIVE IA DO?
GenAI can do: tasks that any fresh college graduate can do
AI is a general-purpose technology because it is used for many
different tasks:
• Writing Web-based: ChatGPT, Bard, Bing
• Reading Software-based: emails, document
• Chatting search
©INGRID AIRI GONZÁLEZ

7. Common use cases: Writing, reading, chatting
 Writing: Generate different creative text
formats, like poems, code, scripts, musical
pieces, etc.
 Reading: Summarize long articles, translate
languages, answer your questions based on
the content you're reading.
 Chatting: Chatbots powered by generative AI
can answer your questions, provide customer
service, or simply have a conversation.
©INGRID AIRI GONZÁLEZ

8. ©INGRID AIRI GONZÁLEZ

9. IMAGE GENERATION
©INGRID AIRI GONZÁLEZ

10. TIPS FOR PROMPTING
1. Be detailed and specific (clear)
2. Guide the model to think through its answers
3. Experiment and iterate
4. Don´t overthink the initial prompt
5. Be careful with confidential information
6. Whether or not you trust the output
PROMPT (INPUT) RESPONSE (OUTPUT)
©INGRID AIRI GONZÁLEZ
Images by Deeplearning. AI

11. LIFECYCLE OF A GENERATIVE AI PROJECT
Major steps of the lifecycle of a Generative AI project:
This Sequence accurately represents the recommended steps in the life cycle
of a Generative AI project: AI generated image: Copilot
Scope the Project
Build/improve systems
Internal evaluation
Deploy and monitor:
(in case customers say something that causes the chatbot to respond in an unexpected way, monitoring lets you
discover problems and fix them)
©INGRID AIRI GONZÁLEZ

12. ANALYZING TASKS IN JOBS
 Automation: Replacing human tasks entirely with AI.
o Imagine replacing a repetitive data entry job with an AI
that can handle it faster and more accurately.
 Augmentation: Enhancing human capabilities with AI
assistance.
o Think of a doctor using AI to analyze medical scans,
helping them make more informed decisions.
©INGRID AIRI GONZÁLEZ

13. RESPONSIBLE AND ETHICAL AI
 Transparency: Understanding how AI works and its
potential biases.
 Fairness: Ensuring AI doesn't discriminate against individuals
or groups.
 Accountability: Taking responsibility for the development
and use of AI.
 Privacy: Protecting personal data used to train and operate
AI models.
 Security: to be safe from malicious attacks
 Ethical use: use it for beneficial purposes / to make people
better off
©INGRID AIRI GONZÁLEZ

14. CONCLUSIONS
• How is Generative AI different from traditional AI?
It focuses on creation, not just analysis.
• It is important to become familiar with basic terms
to understand the world of GenAI
• The GenAI has enormous potential to improve
efficiency and creativity in many fields.
• It is important to be realistic about the limitations
of the GenAI and use it responsibly.
• By looking at your own work, you can identify areas
where GenAI can be useful
• Working with GenAI can be an exciting, challenging
and rewarding experience.
• Success at GenAI depends on effective collaboration
between different teams and people.
• Implementing an GenAI strategy requires careful
planning, investment and ethics
•
©INGRID AIRI GONZÁLEZ

15. LET´S MAKE A MORE INTELLIGENT WORLD!
Thank you!
©Ingrid Airi González
©INGRID AIRI GONZÁLEZ
AI generated image: Copilot