Sinan Ozdemir

quick-start-guide-to-llms. The Official Repo for "Quick Start Guide to Large Language Models"

oreilly-ai-agents. An introduction to the world of AI Agents

oreilly-retrieval-augmented-gen-ai. See how to augment LLMs with real-time data for dynamic, context-aware apps - Rag + Agents + GraphRAG.

oreilly-hands-on-gpt-llm. Mastering the Art of Scalable and Efficient AI Model Deployment

foundations-of-gen-ai. Transformer Architectures for Generative AI

oreilly-optimizing-llms. Optimizing LLMs with Fine-Tuning and Prompt Engineering

building-agentic-ai. Code repository for "Building Agentic AI" by Sinan Ozdemir. Practical examples, experiments, and implementations covering LLMs, embeddings, agents, RAG, fine-tuning, and optimization.

large-language-models-and-chatgpt-in-three-weeks. Large Language Models and ChatGPT in Three Weeks

oreilly-huggingface-tour. A Crash Course in Hugging Face

feature_engineering_bookcamp. Jupyter Notebook

oreilly-llm-rl-alignment. This training offers an intensive exploration into the frontier of reinforcement learning techniques with large language models (LLMs). We will explore advanced topics such as Reinforcement Learning with Human Feedback (RLHF), Reinforcement Learning from AI Feedback (RLAIF), Reasoning LLMs, and demonstrate practical applications such as fine-tuning

oreilly-transformers-video-series. Jupyter Notebook

oreilly-pytorch-dl. Code for Deep Learning for Modern AI

oreilly-ai-pipelines. Designing and Deploying LLM Pipelines

pearson-gpt-training-engineer. Jupyter Notebook

oreilly-bert-nlp. This repository contains code for the O'Reilly Live Online Training for BERT

oreilly-multimodal-ai. Learn how multimodal AI merges text, image, and audio for smarter models

pearson-llm-dev-intro. Jupyter Notebook

pearson-llm-production-integration. Jupyter Notebook

oreilly-evaluating-llms. Metrics, Benchmarks, and Practical Tools for Assessing Large Language Models

sfdat28. Jupyter Notebook

SF_DAT_17. Python

oreilly-agi. Explore the evolution of AGI through historical context, reasoning models, and agent systems, while gaining hands-on experience with cutting-edge models like Claude 4, DeepSeek-R1, and OpenAI's o3. Learn to critically evaluate AGI benchmarks, understand their limitations, and identify where current models excel or struggle in reasoning tasks.

oreilly-bert-hands-on-nlp. This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT

odsc-llm-alignment.

squad-goals. A basic agent framework by Sinan Ozdemir

SF_DAT_15. Repo for SF DAT 15

odsc-llmops. Sinan Ozdemir's ODSC West Workshop: LLMs from Protoype to Production

sfdat22. SF DAT 22 Course Repository

oreilly-hands-on-mlops. Jupyter Notebook

DSGO-NLP-Workshop. Jupyter Notebook

Principles-of-Data-Science. Principles of Data Science by Packt

Betamore_Python_Data_Science. Python

sfdat26. Jupyter Notebook

DCDSI-sinan. Jupyter Notebook

maven-modern-nlp. Modern Natural Language Processing with GPT-3 & more

ai-user-group. Jupyter Notebook

oreilly-bias. Quantify, and Mitigate Biases in ML Pipelines

oreilly-ai-pipelines-clean. Jupyter Notebook

huggingface-guide.

sinan-openai. Python

ai-office-hours. Python

iris_calculator. A Flask App to create Iris Species Predictions using SKLearn's KNN

principles_of_data_science.

airbnb_th. Jupyter Notebook

transformers. 🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

twilio-python. A Python module for communicating with the Twilio API and generating TwiML.