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World Congress 2025 • Aug 20, 2025 • Session details

GenAI Unpacked: Beyond Basic

Damir

Are your language models just chatting, or actively executing code? Learn to map raw human intent directly into system-level operations using Semantic Kernel and advanced function calling.

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#1 about 7 min

Controlling machine processes using natural language AI agents

How large language models map human instructions directly to executable shell commands.

#2 about 5 min

Understanding text tokenization and cost calculation via byte pair

How the byte pair algorithm encodes text into numerical arrays to improve indexing performance and track API costs.

#3 about 7 min

Calculating semantic similarity with embedding models and vectors

How embedding algorithms convert textual data into dimensional vectors to evaluate conceptual proximity using cosine distance.

#4 about 3 min

Storing and querying vector data with native database features

How modern relational databases index structural vectors natively and the scaling challenges associated with high-dimensional search latency.

#5 about 5 min

Adjusting model creativity through temperature and log probabilities

Why tuning token probabilities influences the deterministic capabilities of large language generation.

#6 about 4 min

Implementing dynamic function calling with semantic kernel agents

How integration agents calculate intent embeddings to route prompt criteria strictly to registered application functions.

Matching moments

2:44 min

Understanding language models and autonomous executing agents

Chris Heilmann +2 · LIVE

2:36 min

Exploring the core architecture and components of AI agents

Jörg Neumann Jörg Neumann · WWC 2025

1:22 min

Leveraging the comprehensive generative artificial intelligence stack

Duan Lightfoot Duan Lightfoot · WWC 2024

4:13 min

Architectural components of a generative AI agent

Dieter Flick · WWC 2023

1:02 min

Defining modern generative artificial intelligence and agent applications

Julián Duque Julián Duque · WWC 2025

2:37 min

Understanding core parameters and mechanics of large language models

Julián Duque Julián Duque · WWC 2025

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