From c044d60f5e2dea1727930e11827dd6846e177eaf Mon Sep 17 00:00:00 2001 From: Milan Kubik Date: Fri, 11 Oct 2024 12:50:18 +0200 Subject: [PATCH] [Brno] Pyvo October --- .../brno-pyvo/events/2024-10-31-pravni.yaml | 33 +++++++++++++++++++ 1 file changed, 33 insertions(+) create mode 100644 series/brno-pyvo/events/2024-10-31-pravni.yaml diff --git a/series/brno-pyvo/events/2024-10-31-pravni.yaml b/series/brno-pyvo/events/2024-10-31-pravni.yaml new file mode 100644 index 0000000..0f2caa3 --- /dev/null +++ b/series/brno-pyvo/events/2024-10-31-pravni.yaml @@ -0,0 +1,33 @@ +city: brno +start: 2024-10-31 19:00:00 +name: Brněnské Pyvo +topic: Právní +venue: artbar +description: | + Říjnové Pyvo, poslední čtvrtek v měsíci v ArtBaru, jako obvykle. 🙂 🍻 + + --- + + October Pyvo, last Thursday of the month at ArtBar, as usual. 🙂 🍻 + +talks: + - title: Legal Judgment Prediction using Neural Language Processing + speakers: + - Pavol Travnik + description: | + The presentation will focus on Legal Judgment Prediction using Neural Language Processing and Machine Learning using PyTorch. + The focus will be on leveraging the state of art embedding models to handle tasks such as document classification and prediction + based on publicly available district court rulings. + + A variety of models will be explored, including OpenAI's text- embedding-3-small and text- embedding-3-large, + as well as open-source options like avsolatorio/GIST- small-Embedding-v0 and sentence-transformers/all-MiniLM-L12-v2. + The session will also explore the performance of embeddings within Retrieval-Augmented Generation (RAG) over legal text datasets, + emphasising how these models manage context search and classification in legal corpora and what are their limitations. + + About Pavol: + + Pavol Travnik holds a Master's degree in Law and is currently pursuing a Master's in Software Engineering and Big Data. + With a multidisciplinary background, Pavol has gained experience in technology, including machine learning and legal frameworks, + and has worked on software engineering and quality assurance in multiple roles. + His expertise bridges legal theory and computational approaches, driving innovation in legal research. +