Viswanatha Swamy
Applied Information Sciences
ENTDECKEN, VERBINDEN, WACHSEN
Sind Sie bereit für den Einstieg in die KI? Microsoft Reactor bietet Veranstaltungen, Schulungen und Communityressourcen, um Startups, Unternehmer und Entwickler beim Aufbau ihres nächsten Geschäfts mit KI-Technologie zu unterstützen. Seien Sie dabei!
ENTDECKEN, VERBINDEN, WACHSEN
Sind Sie bereit für den Einstieg in die KI? Microsoft Reactor bietet Veranstaltungen, Schulungen und Communityressourcen, um Startups, Unternehmer und Entwickler beim Aufbau ihres nächsten Geschäfts mit KI-Technologie zu unterstützen. Seien Sie dabei!
25 Februar, 2025 | 10:00 AM - 11:00 AM (UTC) Koordinierte Weltzeit (UTC)
Thema: Zentrale KI
Sprache: Englisch
This session will cover the process of building custom named entity recognition (NER) models using Azure AI Language. Attendees will learn how to define and tag custom entities, train models to extract these entities from unstructured text, and evaluate model performance. Practical exercises will provide hands-on experience with the Azure AI Language platform.
How do you think a Start-up will be benefited from this session?
Start-ups can leverage custom NER for a variety of use cases:
Automating data extraction from documents: Extract key information like product names, dates, locations, and contract details from invoices, contracts, and other documents.
Improving customer support: Identify specific product mentions or issue types in customer feedback to route inquiries to the appropriate team.
Enhancing search functionality: Index documents based on extracted entities to provide more relevant search results.
Analyzing social media: Extract brand mentions, product names, and other relevant information from social media posts.
By automating these processes, start-ups can save time and resources, gain valuable insights from their data, and improve operational efficiency.
Read More - https://aka.ms/Entity-Recognition
The session will focus on:
Understanding custom named entity recognition: What custom NER is, and when to use it.
Tagging entities in extraction projects: Best practices for defining and annotating custom entities in text data.
Understanding how to build entity recognition projects: Project setup, data preparation, and model training in Azure AI Language.
Training and evaluating your model: The training process, model evaluation metrics (precision, recall, F1-score), and strategies for improving model performance.
Practical Examples and Hands-on Exercise: Attendees will work on a practical scenario, such as extracting information from product descriptions or legal documents.
Speaker BIO- Viswanatha Swamy
He is an aspirant Software Architect and currently, he works at Applied Information Sciences. He is passionate about C#, ASP.NET, Azure, Performance testing/tuning,.NET Core, and Docker. He loves to learn about new technologies.
Social Handle- https://twitter.com/vishipayyallore
AI-900
Some experience in AI
Willing to learn AI
Referenten
Sie haben sich bereits registriert und möchten die Registrierung stornieren? Registrierung stornieren
Dieses Event ist Teil von #AI102 Series.
Klicken Sie hier, um zur Serienseite zu navigieren, auf der alle anstehenden und auf Abruf verfügbaren Events angezeigt werden.
Bei Fragen können Sie uns wie folgt kontaktieren: reactor@microsoft.com