InData Science CollectivebySefa Bilicier·Jun 30A Guide to MLOpsAI Lifecycle, Inference, Deployment, Pipelines, Governance, Drift, AutoML, Federated & Distributed LearningA response icon2A response icon2
InData Science CollectivebySefa Bilicier·Jun 29Model TrainingFrom Raw Data to Reasoning Machines — Everything You Need to Know About LLM Training
InData Science CollectivebySefa Bilicier·Jun 28LLM CustomizationFrom Prompt Engineering to Alignment. Adapting Large Language Models for the Real WorldA response icon1A response icon1
InTowards AIbySefa Bilicier·Jun 5How LLMs Work?A walkthrough of the full pipeline behind Large Language Models and how they generate responses.A response icon3A response icon3
InData Science CollectivebySefa Bilicier·Jun 2LLMs : Inside Your Intelligent Digital FriendFrom tokens and embeddings to reasoning, alignment, and multilingual capabilities — everything you need to know about LLMs, I explained…
InData Science CollectivebySefa Bilicier·Apr 14Training Neural NetworksA Guide handling optimization, regularization, and advanced learning strategies from gradient descent to curriculum learning.A response icon1A response icon1
InData Science CollectivebySefa Bilicier·Apr 13Neural Network ArchitecturesFrom Feedforward Perceptrons to Generative Adversarial Networks — Understanding the Building Blocks of Modern AI
InData Science CollectivebySefa Bilicier·Mar 31Neural NetworksFrom Biological Inspiration to Backpropagation — Everything You Need to Build Real Intuition. Learn Loss and Activation Functions, Weight…A response icon1A response icon1
InData Science CollectivebySefa Bilicier·Mar 6Reinforcement Learning — Machines Learning Through ExperienceReinforcement Learning is one of the most exciting and intellectually rich branches of machine learning. It powers everything from…
InData Science CollectivebySefa Bilicier·Mar 5Semi-Supervised Learning — for both labeled and unlabeled dataThis powerful family of techniques rarely gets the spotlight it deserves compared to its more famous siblings: supervised and unsupervised…
