Imagine you’re building something with LEGO. You have individual bricks (motors, wheels, blocks), but by themselves, they are just parts. To assemble a working machine from them, you need instructions and an understanding of how…
This article is a practical guide for developers on creating autonomous AI agents in Python. We will not repeat the theory of what LangChain and LangGraph are. Instead, we will focus on code, architecture, and…
In the modern world of AI agents, one of the main challenges is access to up-to-date information. Most language models are trained on data with a specific cutoff date and cannot provide information about recent…
We are used to thinking that in the world of artificial intelligence, size matters. Giant language models (LLMs), like the ones behind ChatGPT, capture the imagination with their ability to write poetry, generate code, and…
LLM personalization can be achieved in different ways: from carefully crafted prompts and context management to fine-tuning on your own datasets. Fine-tuning helps solidify the model’s style, terminology, and response format, while also improving accuracy…