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BEGIN:VEVENT
UID:20260713T232948Z - 82402@eu441a.odoo.com
DTSTART;TZID=Europe/Brussels:20250402T090000
DTEND;TZID=Europe/Brussels:20250404T160000
CREATED:20260713T232948Z
DESCRIPTION:<a href="https://www.sustain.brussels/event/chatgpt-next-genera
 tion-assistants-training-track-108/register">ChatGPT & Next Generation Ass
 istants - Training Track</a>\nIdentify the strengths and limits of next ge
 neration chatbots for your businessDescription The course will aim at expl
 aining the nuts and bolts of the new generation of chatbots such as ChatGP
 T\, what they can be used for\, and what are their limits. We will start w
 ith an overview of reference chatbots (both closed and open source\, ChatG
 PT and Mistral for example)\,common use cases (writing\, summarizing\, bra
 instorming\, ...)\, and some of the main limits of these tools (bias\, hal
 lucinations\, ...). The course will then dive gradually into more advanced
  use cases\, addressing along the way more subtle issues\, both ethical an
 d technical. Examples of ethical issues that we will address cover data pr
 ivacy\, intellectual property\, and the digital divide. On the technical s
 ide\, we will show how chatbots can be programmed and trained\, using eith
 er APIs for closed-source solution\, or libraries such as HuggingFace for 
 open-source models. By the end of the course\, the goal is that participan
 ts can make their informed decisions on the capabilities of this new type 
 of software\, and when and for what they may appropriately use them. Cours
 e content Introduction to large language models (LLMs) such as ChatGPT Exp
 eriment with different use cases Discuss about limitations\, both technica
 l and ethical Program LLMs\, both closed and open-source models (workshop 
 day-technical profile) Design a Chatbot Web application (workshop day-tech
 nical profile) Learning outcomes Demonstrate an understanding of large lan
 guage models' technology within the field of machine learning Identify the
  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 an
 d fine-tuningPrice Thanks to the support of the European Commission and In
 noviris in the [...]
DTSTAMP:20260713T232948Z
LOCATION:sustAIn.brussels\, Kantersteen 16\, 1000 Brussel\, Belgium
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-108/register">ChatGPT & Ne
 xt Generation Assistants - Training Track</a>\nIdentify the strengths and 
 limits of next generation chatbots for your businessDescription The course
  will aim at explaining the nuts and bolts of the new generation of chatbo
 ts such as ChatGPT\, what they can be used for\, and what are their limits
 . We will start with an overview of reference chatbots (both closed and op
 en 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 i
 nto more advanced use cases\, addressing along the way more subtle issues\
 , both ethical and technical. Examples of ethical issues that we will addr
 ess cover data privacy\, intellectual property\, and the digital divide. O
 n the technical side\, we will show how chatbots can be programmed and tra
 ined\, using either APIs for closed-source solution\, or libraries such as
  HuggingFace for open-source models. By the end of the course\, the goal i
 s that participants can make their informed decisions on the capabilities 
 of this new type of software\, and when and for what they may appropriatel
 y use them. Course content Introduction to large language models (LLMs) su
 ch as ChatGPT Experiment with different use cases Discuss about limitation
 s\, 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 understan
 ding of large language models' technology within the field of machine lear
 ning Identify the primary use cases for LLMs and formulate effective promp
 ts Recognize and explain the technical limitations and ethical issues asso
 ciated with LLMs Use and program with LLMs in Python Apply methods for dat
 a augmentation and fine-tuningPrice Thanks to the support of the European 
 Commission and Innoviris in the [...]
END:VEVENT
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