My Notes on Agentic AI - Fundamentals Introduction AI agents are rapidly transforming how we interact with technology, moving beyond simple task execution to complex problem-solving. In this comp...
Unlocking the Power of Structured Outputs in OpenAI and Azure OpenAI Introduction In the rapidly evolving landscape of artificial intelligence, staying ahead of the curve means embracing innovati...
Tailoring Language Models for Specific Tasks LLMs are renowned for their ability to understand and generate text that closely mirrors human conversation, making them great for activities such as c...
Why Knowledge Base Embedding Suppose you have a very capable and powerful LLM, however, to use it you want it to have access to some domain knowledge. Say, you are working with some confidential d...
Fine-Tuning LLMs for Behavioral Changes Fine-Tuning is one of the most popular techniques to tailor LLMs for specific use cases or needs. This method allows you to mold the LLM’s responses to fit ...
Enhancing Large Language Models with Custom Capabilities Using Langchain In the rapidly evolving landscape of AI and machine learning, the ability to extend and customize large language models (LL...
Power of Collaborative AI Hello, Micro Masters! Let’s embark on an exciting journey into the realm of collaborative artificial intelligence (AI). Imagine your very own team of AI agents, each with ...
Introduction In today’s fast-paced digital world, automation is key to efficiency. This blog post will guide you through setting up GPT actions with your own endpoint using Python. As an example w...
Bringing AI to Your Desktop In the evolving landscape of artificial intelligence, Jan.AI stands out as an open-source, self-hosted alternative to ChatGPT. It operates completely offline on your ...