"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleksander Krakovetskyi
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The document discusses large language models (LLMs) and their foundation on machine learning, specifically transformer models. It highlights the integration of LLMs with programming languages through Semantic Kernel, which allows for the creation of plugins. Additionally, it mentions various applications of LLMs, including tools like ChatGPT and Microsoft Copilot.
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleksander Krakovetskyi
- 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
- 8. Claude
- 10. What does ChatGPT's Advanced Data Analysis have installed? | Rho Signal
- 17. Function Calling
- 20. My GPTs
- 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? - https://t.me/neshtuchnyi - https://www.buymeacoffee.com/sashaeve - @sashaeve - facebook.com/oleksandr.krakovetskyi - linked.in/in/sashaeve - o.krakovetskyi@devrain.com - https://www.arthuss.com.ua/shop/yak- heneratyvnyy-shtuchnyy-intelekt- zminyuye-svit