Category: ai (page 1 of 4)

Category: ai (page 1 of 4)

Artificial Intelligence

Using OpenAI vs Azure OpenAI with Semantic Kernel. What's the difference? featured image

Using OpenAI vs Azure OpenAI with Semantic Kernel. What's the difference?

5 min read

Understanding the differences between OpenAI and Azure OpenAI and how to use them with Semantic Kernel

Building a Recommendation System Using Text Embeddings and python featured image

Building a Recommendation System Using Text Embeddings and python

5 min read

Learn how to create a simple recommendation system for e-commerce using vector embeddings and Gradio.

Should you use GPT-4o-mini for multimodal tasks? featured image

Should you use GPT-4o-mini for multimodal tasks?

5 min read

A deep dive into the real costs and limitations of gpt-4o-mini for image processing tasks.

Improved function calling with the Semantic Kernel featured image

Improved function calling with the Semantic Kernel

5 min read

A new way to call functions using the latest Semantic Kernel SDK

Using Structured Outputs with Semantic Kernel featured image

Using Structured Outputs with Semantic Kernel

6 min read

A Simple Guide to Structured Outputs with Semantic Kernel. Converting text responses into typed data with JSON schema and C# model classes.

Setting up the Azure OpenAI API versions in Semantic Kernel featured image

Setting up the Azure OpenAI API versions in Semantic Kernel

3 min read

Managing Azure OpenAI API versions in Semantic Kernel, including both new and legacy approaches.

JSON Mode and Structured Outputs Mode using OpenAI Models featured image

JSON Mode and Structured Outputs Mode using OpenAI Models

4 min read

Understanding JSON Mode and Structured Outputs in OpenAI Models

Implementing a Simple BPE Tokenizer in .NET featured image

Implementing a Simple BPE Tokenizer in .NET

11 min read

Writing a basic Byte Pair Encoding (BPE) tokenizer using C# and .NET

Understanding Tokenization in Large Language Models featured image

Understanding Tokenization in Large Language Models

6 min read

An in-depth exploration of tokenization, tokens, and their crucial role in modern LLMs