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UID:20260524T221900Z - 8868@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20250922T120000
DTEND;TZID=Europe/Brussels:20250925T160000
CREATED:20260524T221900Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/chatgpt-next-genera
 tion-assistants-training-track-169/register">ChatGPT & Next Generation Ass
 istants - Training Track </a>\nIdentify the strengths and limits of next g
 eneration chatbots for your businessDescription The course will aim at exp
 laining the nuts and bolts of the new generation of chatbots such as ChatG
 PT\, what they can be used for\, and what are their limits. We will start 
 with an overview of reference chatbots (both closed and open source\, Chat
 GPT and Mistral for example)\,common use cases (writing\, summarizing\, br
 ainstorming\, ...)\, and some of the main limits of these tools (bias\, ha
 llucinations\, ...). The course will then dive gradually into more advance
 d use cases\, addressing along the way more subtle issues\, both ethical a
 nd technical. Examples of ethical issues that we will address cover data p
 rivacy\, intellectual property\, and the digital divide. On the technical 
 side\, we will show how chatbots can be programmed and trained\, using eit
 her APIs for closed-source solution\, or libraries such as HuggingFace for
  open-source models. By the end of the course\, the goal is that participa
 nts can make their informed decisions on the capabilities of this new type
  of software\, and when and for what they may appropriately use them. Cour
 se content Introduction to large language models (LLMs) such as ChatGPT Ex
 periment with different use cases Discuss about limitations\, both technic
 al and ethical Program LLMs\, both closed and open-source models (workshop
  day-technical profile) Design a Chatbot Web application (workshop day-tec
 hnical profile) Learning outcomes Demonstrate an understanding of large la
 nguage models' technology within the field of machine learning Identify th
 e primary use cases for LLMs and formulate effective prompts Recognize and
  explain the technical limitations and ethical issues associated with LLMs
  Use and program with LLMs in Python Apply methods for data augmentation a
 nd fine-tuningPrice Thanks to the support of the European Commission and I
 nnoviris in the [...]
DTSTAMP:20260524T221900Z
LOCATION:sustAIn.brussels\, Kantersteen 16\, 1000 Brussel\, België
SUMMARY:ChatGPT & Next Generation Assistants - Training Track 
X-ALT-DESC;FMTTYPE=text/html:<a href="https://www.sustain.brussels/event/ch
 atgpt-next-generation-assistants-training-track-169/register">ChatGPT & Ne
 xt Generation Assistants - Training Track </a>\nIdentify the strengths and
  limits of next generation chatbots for your businessDescription The cours
 e will aim at explaining the nuts and bolts of the new generation of chatb
 ots such as ChatGPT\, what they can be used for\, and what are their limit
 s. We will start with an overview of reference chatbots (both closed and o
 pen source\, ChatGPT and Mistral for example)\,common use cases (writing\,
  summarizing\, brainstorming\, ...)\, and some of the main limits of these
  tools (bias\, hallucinations\, ...). The course will then dive gradually 
 into more advanced use cases\, addressing along the way more subtle issues
 \, both ethical and technical. Examples of ethical issues that we will add
 ress cover data privacy\, intellectual property\, and the digital divide. 
 On the technical side\, we will show how chatbots can be programmed and tr
 ained\, using either APIs for closed-source solution\, or libraries such a
 s HuggingFace for open-source models. By the end of the course\, the goal 
 is that participants can make their informed decisions on the capabilities
  of this new type of software\, and when and for what they may appropriate
 ly use them. Course content Introduction to large language models (LLMs) s
 uch as ChatGPT Experiment with different use cases Discuss about limitatio
 ns\, both technical and ethical Program LLMs\, both closed and open-source
  models (workshop day-technical profile) Design a Chatbot Web application 
 (workshop day-technical profile) Learning outcomes Demonstrate an understa
 nding of large language models' technology within the field of machine lea
 rning Identify the primary use cases for LLMs and formulate effective prom
 pts Recognize and explain the technical limitations and ethical issues ass
 ociated with LLMs Use and program with LLMs in Python Apply methods for da
 ta augmentation and fine-tuningPrice Thanks to the support of the European
  Commission and Innoviris in the [...]
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