Damir

GenAI Unpacked: Beyond Basic

Your function documentation is the new API for AI. Learn how to build agents that can discover and correctly use your code.

GenAI Unpacked: Beyond Basic
#1about 5 minutes

Controlling PowerShell with natural language commands

A live demo shows how a large language model can translate human language into executable PowerShell commands to manage system processes.

#2about 4 minutes

How large language models process text using tokens

Models break down text into numerical tokens for efficient processing, which is a fundamental concept for performance and cost calculation.

#3about 8 minutes

Calculating semantic similarity with embeddings and vectors

Text is converted into numerical vectors (embeddings) to calculate semantic similarity using cosine similarity, enabling features like recommendations and search.

#4about 5 minutes

How completion models generate text probabilistically

LLMs generate text by probabilistically selecting the next token, and the temperature parameter controls the creativity versus determinism of the output.

#5about 3 minutes

Implementing function calling with Semantic Kernel agents

An AI agent uses embeddings to understand user intent and trigger the correct external function or plugin from a library of available tools.

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Matching moments

Introduction to generative AI in the browser
00:02 MIN

Introduction to generative AI in the browser

Generate AI in the Browser with Chrome AI - Raymond Camden

Moving beyond hype with real-world generative AI
00:05 MIN

Moving beyond hype with real-world generative AI

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GenAI applications and emerging professional roles
18:03 MIN

GenAI applications and emerging professional roles

Enter the Brave New World of GenAI with Vector Search

Defining key GenAI concepts like GPT and LLMs
23:35 MIN

Defining key GenAI concepts like GPT and LLMs

Enter the Brave New World of GenAI with Vector Search

Understanding the fundamentals of generative AI for developers
01:00 MIN

Understanding the fundamentals of generative AI for developers

Java Meets AI: Empowering Spring Developers to Build Intelligent Apps

Key takeaways for building enterprise GenAI applications
23:43 MIN

Key takeaways for building enterprise GenAI applications

Best practices: Building Enterprise Applications that leverage GenAI

Understanding key generative AI and prompting terminology
00:56 MIN

Understanding key generative AI and prompting terminology

AI Prompting for TA and HR: From Beginner to Advanced

Shifting from traditional code to AI-powered logic
09:55 MIN

Shifting from traditional code to AI-powered logic

WWC24 - Ankit Patel - Unlocking the Future Breakthrough Application Performance and Capabilities with NVIDIA

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Jobs that call for the skills explored in this talk.

Generative AI Developer

Generative AI Developer

University of the Arts, London
Sleaford, United Kingdom

£34-41K
Python
PyTorch
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Generative AI Engineer

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£80-88K
GIT
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