AIcademy
Working with Large Language Models: Applications
Description:
In this knowledge session you will get an in-depth overview of Large Language Models (LLMs). You will learn how organizations use these models, what is technically required and where the opportunities and limitations lie.
Learning objectives:
After this session you will know:
What LLMs are used for today, including examples from communications, HR, policy, IT, and customer service.
How LLMs function within AI chatbots, smart search and document analysis.
What is needed organizationally and technically to get started with it.
For whom: Professionals who want an up-to-date and applicable overview of what LLMs can mean for their organization.
Introduction
In this knowledge session, you will discover how to effectively use Large Language Models (LLMs) such as ChatGPT, Claude and Gemini within your organization. You will learn what these models are used for today, which applications are the most valuable, and how organizations use them to make processes smarter, faster and more user-friendly. Whether it concerns customer service, internal communication, HR or information provision — you will get an up-to-date overview of the possibilities and limitations of LLMs.
What you will learn during this session
1. What are LLMs and what are they already being used for?
You will get a clear overview of what LLMs exactly are and what they enable within organizations today.
Using LLMs in Communication: Writing, Rewriting and Summarizing Texts Faster
Examples from HR: support with vacancy texts, feedback and learning paths
Use in customer contact: AI chatbots for first-line service and FAQ handling
Application in policy or administration: generate understandable summaries and explanations
Improving information provision with AI-generated answers and overviews
2. AI chatbots and assistants within organizations
You will discover how LLMs are used in smart chatbots and virtual assistants.
For which tasks can you successfully use an AI chatbot?
What are realistic expectations of an LLM in customer contact or internal support?
Best practices from organizations deploying AI assistants on websites, intranets or internal helpdesks
3. LLMs as a smart search aid and knowledge partner
You will learn how LLMs are used to make information faster and more accessible.
Using AI for internal knowledge base search functions or document searching
Ask questions using natural language and receive immediately actionable answers
Help employees find information faster, without having to search themselves
4. Work smarter with documents and text
You will see how LLMs help you deal with large amounts of text more efficiently.
Summarizing reports, documents and records
Generating draft texts and suggestions for emails or memos
Making content more understandable for different target groups
Approach and working method
This session is built around recognizable practical examples and current applications. You will gain insight into what works, what does not (yet), and how you can get started with LLMs in a responsible and feasible way. The session is interactive, with room for questions, exchange and reflection on your own work environment.
For whom
This session is intended for professionals, policy makers, team leaders and managers who want to understand how Large Language Models add concrete value within their organization. You do not need a technical background — this session focuses entirely on the applications, not the technology.
Interested in this session?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
Working with Large Language Models: Applications
Introduction
In this knowledge session, you will discover how to effectively use Large Language Models (LLMs) such as ChatGPT, Claude and Gemini within your organization. You will learn what these models are used for today, which applications are the most valuable, and how organizations use them to make processes smarter, faster and more user-friendly. Whether it concerns customer service, internal communication, HR or information provision — you will get an up-to-date overview of the possibilities and limitations of LLMs.
What you will learn during this session
1. What are LLMs and what are they already being used for?
You will get a clear overview of what LLMs exactly are and what they enable within organizations today.
Using LLMs in Communication: Writing, Rewriting and Summarizing Texts Faster
Examples from HR: support with vacancy texts, feedback and learning paths
Use in customer contact: AI chatbots for first-line service and FAQ handling
Application in policy or administration: generate understandable summaries and explanations
Improving information provision with AI-generated answers and overviews
2. AI chatbots and assistants within organizations
You will discover how LLMs are used in smart chatbots and virtual assistants.
For which tasks can you successfully use an AI chatbot?
What are realistic expectations of an LLM in customer contact or internal support?
Best practices from organizations deploying AI assistants on websites, intranets or internal helpdesks
3. LLMs as a smart search aid and knowledge partner
You will learn how LLMs are used to make information faster and more accessible.
Using AI for internal knowledge base search functions or document searching
Ask questions using natural language and receive immediately actionable answers
Help employees find information faster, without having to search themselves
4. Work smarter with documents and text
You will see how LLMs help you deal with large amounts of text more efficiently.
Summarizing reports, documents and records
Generating draft texts and suggestions for emails or memos
Making content more understandable for different target groups
Approach and working method
This session is built around recognizable practical examples and current applications. You will gain insight into what works, what does not (yet), and how you can get started with LLMs in a responsible and feasible way. The session is interactive, with room for questions, exchange and reflection on your own work environment.
For whom
This session is intended for professionals, policy makers, team leaders and managers who want to understand how Large Language Models add concrete value within their organization. You do not need a technical background — this session focuses entirely on the applications, not the technology.
Interested in this session?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
Description:
In this knowledge session you will get an in-depth overview of Large Language Models (LLMs). You will learn how organizations use these models, what is needed and where the opportunities and limitations lie.
Learning objectives:
After this session you will know:
What LLMs are used for today, including examples from communications, HR, policy, IT, and customer service.
How LLMs function within AI chatbots, smart search and document analysis.
What is needed organizationally and technically to get started with it.
For whom: Professionals who want an up-to-date and applicable overview of what LLMs can mean for their organization.
Working with Large Language Models: Applications
Description:
In this knowledge session you will get an in-depth overview of Large Language Models (LLMs). You will learn how organizations use these models, what is technically required and where the opportunities and limitations lie.
Learning objectives:
After this session you will know:
What LLMs are used for today, including examples from communications, HR, policy, IT, and customer service.
How LLMs function within AI chatbots, smart search and document analysis.
What is needed organizationally and technically to get started with it.
For whom: Professionals who want an up-to-date and applicable overview of what LLMs can mean for their organization.
Introduction
In this knowledge session, you will discover how to effectively use Large Language Models (LLMs) such as ChatGPT, Claude and Gemini within your organization. You will learn what these models are used for today, which applications are the most valuable, and how organizations use them to make processes smarter, faster and more user-friendly. Whether it concerns customer service, internal communication, HR or information provision — you will get an up-to-date overview of the possibilities and limitations of LLMs.
What you will learn during this session
1. What are LLMs and what are they already being used for?
You will get a clear overview of what LLMs exactly are and what they enable within organizations today.
Using LLMs in Communication: Writing, Rewriting and Summarizing Texts Faster
Examples from HR: support with vacancy texts, feedback and learning paths
Use in customer contact: AI chatbots for first-line service and FAQ handling
Application in policy or administration: generate understandable summaries and explanations
Improving information provision with AI-generated answers and overviews
2. AI chatbots and assistants within organizations
You will discover how LLMs are used in smart chatbots and virtual assistants.
For which tasks can you successfully use an AI chatbot?
What are realistic expectations of an LLM in customer contact or internal support?
Best practices from organizations deploying AI assistants on websites, intranets or internal helpdesks
3. LLMs as a smart search aid and knowledge partner
You will learn how LLMs are used to make information faster and more accessible.
Using AI for internal knowledge base search functions or document searching
Ask questions using natural language and receive immediately actionable answers
Help employees find information faster, without having to search themselves
4. Work smarter with documents and text
You will see how LLMs help you deal with large amounts of text more efficiently.
Summarizing reports, documents and records
Generating draft texts and suggestions for emails or memos
Making content more understandable for different target groups
Approach and working method
This session is built around recognizable practical examples and current applications. You will gain insight into what works, what does not (yet), and how you can get started with LLMs in a responsible and feasible way. The session is interactive, with room for questions, exchange and reflection on your own work environment.
For whom
This session is intended for professionals, policy makers, team leaders and managers who want to understand how Large Language Models add concrete value within their organization. You do not need a technical background — this session focuses entirely on the applications, not the technology.
Interested in this session?
Feel free to contact us. We are happy to think along with you about a suitable solution for your team or organization.
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