Scratch

The term “AI agent” is probably the most popular straight away. They emerged after the LLM hype, when people realized that the newest LLM capabilities are impressive but that they will only perform tasks...

is a fresh start. Unless you explicitly supply information from previous sessions, the model has no built‑in sense of continuity across requests or sessions. This stateless design is great for parallelism and safety,...

before LLMs became hyped, there was an separating Machine Learning frameworks from Deep Learning frameworks. The talk was targeting Scikit-Learn, XGBoost, and similar for ML, while PyTorch and TensorFlow dominated the scene...

automobile stops suddenly. Worryingly, there isn't a stop check in sight. The engineers can only make guesses as to why the automobile’s neural network became confused. It might be a tumbleweed rolling across...

The Attention Mechanism is commonly related to the transformer architecture, but it surely was already utilized in RNNs. In Machine Translation or MT (e.g., English-Italian) tasks, when you need to predict the following Italian...

The aim of this project is to learn in regards to the fundamentals of contemporary, scalable web applications by designing, constructing and deploying an AI-powered chat app from scratch. We won’t use fancy frameworks...

A Step-by-Step Guide to Creating Multi-Agent Frameworks within the Age of Generative AIThis post was co-authored with Rafael Guedes.The rise of generative AI is the brand new platform shift of the digital era. It...

with Ollama, LangChain, LangGraph (No GPU, No APIKEY)(All images are by the writer unless otherwise noted)IntroPrompt Engineering is the practice of designing and refining prompts (text inputs) to boost the behavior of Large Language...