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| 1 | +city: brno |
| 2 | +start: 2025-06-26 19:00:00 |
| 3 | +name: Brněnské Pyvo - Červnové |
| 4 | +venue: artbar |
| 5 | +description: | |
| 6 | + Červnové Pyvo, poslední čtvrtek v měsíci v ArtBaru, jako obvykle. 🙂 🍻 |
| 7 | +
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| 8 | + --- |
| 9 | +
|
| 10 | + June Pyvo, last Thursday of the month at ArtBar, as usual. 🙂 🍻 |
| 11 | +
|
| 12 | +talks: |
| 13 | + - title: Fighting logs with Log Detective |
| 14 | + speakers: |
| 15 | + - Jiri Podivin |
| 16 | + - Tomas Tomecek |
| 17 | + description: | |
| 18 | + The current process of identifying the root cause of a package build failure in Copr or Koji |
| 19 | + is time-consuming and requires considerable expertise. |
| 20 | + Log Detective proposes an automated log analysis system to help diagnose such failures |
| 21 | + and assist maintainers. |
| 22 | +
|
| 23 | + Log Detective uses Template Mining and Large Language Models to process your log files. |
| 24 | + It’s very simple to use, just go to https://logdetective.com/explain, paste a link to your log file, |
| 25 | + wait one minute and the service will explain that log to you. |
| 26 | +
|
| 27 | + Existing models like granite, llama, or mistral can give good feedback on your logs, |
| 28 | + but they don't understand our specific ecosystem. |
| 29 | + We are collecting log annotations to train our own models under the CDLA-Permissive-2.0 license. |
| 30 | + Our aim is to create a service that provides near-perfect explanations and solutions, |
| 31 | + as if an experienced maintainer was guiding you. |
| 32 | +
|
| 33 | + In this talk, we’ll give you an overview of Log Detective, |
| 34 | + explain the technical decisions and finish with a demo. You shouldn’t miss this talk if |
| 35 | + you are building software as your job. |
| 36 | +
|
| 37 | + ---- |
| 38 | +
|
| 39 | + *Jiri Podivin* |
| 40 | +
|
| 41 | + I have been interested in AI for a long time and have worked on language model applications before, although not the "large" ones. |
| 42 | + I have been working as an engineer at Red Hat on the Openstack project for the last four years, |
| 43 | + and recently I have joined Log Detective. I also collaborate with Mendel University on projects on agricultural automation |
| 44 | + and plant diagnostics using acoustic emission. |
| 45 | +
|
| 46 | + In my free time I am a fan of museums, obscure literature and strategy games. |
| 47 | +
|
| 48 | + Dlouho se zajímám o AI a už dříve jsem pracoval na aplikacích jazykových modelů, byť ne těch "velkých". |
| 49 | + Poslední čtyři roky pracuju jak inženýr v Red Hatu na projektu Openstack, |
| 50 | + a nedávno jsem přibral Log Detective. Také spolupracuji s Mendelovou univerzitou na projektech automatizace zemědělství |
| 51 | + a diagnostiky rostlin pomocí akustické emise. |
| 52 | +
|
| 53 | + Ve volné čase jsem příznivcem muzeí, obskurní literatury a strategických her. |
| 54 | +
|
| 55 | + *Tomas Tomecek* |
| 56 | +
|
| 57 | + Tomas Tomecek is a Redhatter and writes programs in Python for 15 years. He focuses on automation, |
| 58 | + packaging and lately on integrating AI into our infrastructure. |
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