Python engineers are introduced to the transformative potential of Large Language Models (LLMs) in the realm of advanced data analysis and the application of Semantic Kernel techniques. We will talk about how LLMs like ChatGPT can be integrated into Python environments to automate data processing, enhance predictive modeling, and unlock deeper insights from complex datasets. The session will delve into practical strategies for embedding Semantic Kernel methods within Python projects, illustrating how these advanced techniques can refine the accuracy of machine learning models by embedding domain-specific knowledge directly into the analysis process. Attendees will leave with a clear roadmap for leveraging the combined power of LLMs and Semantic Kernels, equipped with actionable knowledge to drive innovation in their data analysis projects and beyond, marking a significant leap forward in the evolution of Python engineering practices.

2. - CEO DevRain, Microsoft Data & AI
Partner
- CTO DonorUA
- Microsoft AI MVP / RD / Trainer
- Author of book about Gen AI
- Author of certified exams
About me

3. A type of AI program that can
recognize and generate text, among
other tasks. LLMs are trained
on huge sets of data — hence the
name "large." LLMs are built
on machine learning: specifically,
a type of neural network called a
transformer model.
Large Language Model

4. ChatGPT

5. Gemini

6. Microsoft
Copilot

7. GitHub
Copilot

8. Claude

9. ChatGPT
Advanced
Data
Analysis

10. What does ChatGPT's Advanced
Data Analysis have installed? |
Rho Signal

17. Function Calling

19. Named Entity Recognition

20. My GPTs

25. Retrieval Augmented Generation

26. Embeddings

28. Semantic Kernel
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI,
and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic
Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines
of code.

30. Vector databases

32. Export plugins written for Semantic
Kernel as an OpenAI plugin (soon)

34. Questions?
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