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BEGIN:VEVENT
UID:822@lincs.fr
DTSTART;TZID=Europe/Paris:20240320T103000
DTEND;TZID=Europe/Paris:20240320T113000
DTSTAMP:20240322T092910Z
URL:https://www.lincs.fr/events/faites-tourner-votre-llm-chez-vous-ipywidg
 et/
SUMMARY:Double Feature: IPyWidgets + Using LLM
DESCRIPTION:\nIPyWidgets is a popular Python library for creating
 interactive\, customizable user interfaces in Jupyter Notebooks and other
 environments using the power of the Widgets system from the Interactive
 Computing and Visualization Toolkit (IPython).\nLarge Language Models
 (LLMs) are advanced artificial intelligence models capable of generating
 human-like text based on the input they receive. These models have gained
 significant attention in recent times due to their ability to understand
 context\, generate creative responses\, and assist with various tasks such
 as text generation\, summarization\, translation\, and more.\nIn this
 tutorial\, we'll explore how to create interactive data visualizations
 using IPywidgets\, a popular Python library for building dynamic user
 interfaces\, and Large Language Models (LLMs) like Hugging Face
 Transformers. By combining these two powerful tools\, you can create
 engaging data visualizations that respond to user input in
 real-time.\nPrerequisites:\n- Basic understanding of Python programming\n-
 Familiarity with Jupyter Notebook or JupyterLab
 environment\nPreparation:\n- Install IPywidgets if it is not already in
 your distribution\n- Install llama-cpp-python with server option\n-
 Details: https://github.com/abetlen/llama-cpp-python\n- If you have a Cuda
 card\, try to install with cuBLAS option\n- Choose and download a GGUF
 model from Hugging Face\n- Small configurations:
 https://huggingface.co/TheBloke/phi-2-GGUF\n- Got a decent Cuda card?
 https://huggingface.co/TheBloke/Mistral-7B-Instruct-v0.2-GGUF\n- Look the
 size and required RAM to choose a specific (sub)version\n- Files are in the
 "Files and versions" tab\nLearning Objectives:\n- Understand the basics of
 IPywidgets and Hugging Face Transformers\n- Learn how to create interactive
 data visualizations using IPywidgets\n- Discover how to integrate LLMs with
 IPywidgets to create dynamic visualizations that respond to user input\n-
 Explore examples of practical applications of these techniques\nThe
 description above was generated using the assistance of a
 Mistral-7B-Instruct-v0.2-GGUF model \;)\n\n\n
CATEGORIES:Tools, Tips and Tricks,Working Group,Youtube
LOCATION:Room 4B01\, 19 place Marguerite Perey\, Palaiseau\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=19 place Marguerite Perey\,
 Palaiseau\, France;X-APPLE-RADIUS=100;X-TITLE=Room 4B01:geo:0,0
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TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
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DTSTART:20231029T020000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
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