Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs.

We'll also show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

This session is a part of a series! To learn more, click here

Pre-requisites: If you'd like to follow along with the live examples, make sure you've got a GitHub account.

Habla español? Tendremos una serie para hispanohablantes!

Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs.

We'll also show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

This session is a part of a series! To learn more, click here

Pre-requisites: If you'd like to follow along with the live examples, make sure you've got a GitHub account.

Habla español? Tendremos una serie para hispanohablantes!

Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs.

We'll also show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

This session is a part of a series! To learn more, click here

Pre-requisites: If you'd like to follow along with the live examples, make sure you've got a GitHub account.

Habla español? Tendremos una serie para hispanohablantes!

Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs. We'll show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

Follow-along live, thanks to GitHub Models and GitHub Codespaces. If you'd like to follow along with the live examples, make sure you've got a GitHub account.

You can also join a weekly office hours to ask any questions that don't get answered in the chat, in our AI Discord.

📌 This event is part of a series! To learn more, click here

Check out more resources here

Pre-requisites: Want to check out this series in Spanish? Register here

Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs. We'll show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

Follow-along live, thanks to GitHub Models and GitHub Codespaces. If you'd like to follow along with the live examples, make sure you've got a GitHub account.

You can also join a weekly office hours to ask any questions that don't get answered in the chat, in our AI Discord.

📌 This event is part of a series! To learn more, click here

Check out more resources here

Pre-requisites: Want to check out this series in Spanish? Register here

Join us for the first session in our Python + AI series!

In this session, we'll talk about Large Language Models (LLMs), the models that power ChatGPT and GitHub Copilot. We'll use Python to interact with LLMs using popular packages like the OpenAI SDK and Langchain. We'll experiment with prompt engineering and few-shot examples to improve our outputs. We'll show how to build a full stack app powered by LLMs, and explain the importance of concurrency and streaming for user-facing AI apps.

Follow-along live, thanks to GitHub Models and GitHub Codespaces. If you'd like to follow along with the live examples, make sure you've got a GitHub account.

You can also join a weekly office hours to ask any questions that don't get answered in the chat, in our AI Discord.

📌 This event is part of a series! To learn more, click here

Check out more resources here

Pre-requisites: Want to check out this series in Spanish? Register here

Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

Learning objectives - Describe GPT model capabilities and implementation - Understand prompt engineering concepts and best practices - Apply prompt engineering techniques to your own generative AI solutions

Presenters: Bethany Jepchumba \|\| Cloud Advocate - Microsoft - Twitter: https://twitter.com/bethanyjep - LinkedIn: https://www.linkedin.com/in/bethany-jep/ Vidushi Gupta \|\| Microsoft Student Ambassador Gold, DevRel intern - Appsmith - Twitter: https://twitter.com/Vidushi_Gupta7 - LinkedIn: https://www.linkedin.com/in/vidushi-gupta07

Moderators: Rodrigo Kono \|\| CEO And Founder, Microsoft MVP - dotkon - Twitter: https://www.linkedin.com/in/rodrigokono/ - LinkedIn: https://www.linkedin.com/in/rodrigokono/

📌Full series information

📌More info here

Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.

Learning objectives - Describe GPT model capabilities and implementation - Understand prompt engineering concepts and best practices - Apply prompt engineering techniques to your own generative AI solutions

Presenters: Bethany Jepchumba \|\| Cloud Advocate - Microsoft - Twitter: https://twitter.com/bethanyjep - LinkedIn: https://www.linkedin.com/in/bethany-jep/ Vidushi Gupta \|\| Microsoft Student Ambassador Gold, DevRel intern - Appsmith - Twitter: https://twitter.com/Vidushi_Gupta7 - LinkedIn: https://www.linkedin.com/in/vidushi-gupta07

Moderators: Rodrigo Kono \|\| CEO And Founder, Microsoft MVP - dotkon - Twitter: https://www.linkedin.com/in/rodrigokono/ - LinkedIn: https://www.linkedin.com/in/rodrigokono/

📌Full series information

📌More info here