AI Agents Fundamentals: Build Your First Agent from Scratch
Master AI agents from the ground up. Learn the agent loop, build a working agent in pure Python, and understand the foundations that power LangGraph and CrewAI.
23 articles with this tag
Master AI agents from the ground up. Learn the agent loop, build a working agent in pure Python, and understand the foundations that power LangGraph and CrewAI.
Learn to fine-tune large language models for your use case. Master LoRA, QLoRA, dataset preparation, and deploy custom models with OpenAI and Hugging Face.
Master Retrieval-Augmented Generation for LLM applications. Learn document processing, embeddings, vector search, and build production RAG systems.
Master Hugging Face Transformers for NLP tasks. Learn text classification, named entity recognition, question answering, and fine-tuning models.
Learn vector databases for AI and ML applications. Compare Pinecone, Chroma, Weaviate, and build semantic search with embeddings.
Learn machine learning fundamentals with Python. Build your first ML models using scikit-learn with hands-on examples for classification, regression, and real-world predictions.
Master LangChain for building LLM-powered applications. Learn chains, agents, memory, RAG, and integrate with OpenAI, HuggingFace, and vector databases.
Learn deep learning with PyTorch from scratch. Build neural networks, CNNs, RNNs, and train models for image classification and NLP tasks.
Master the OpenAI API for building AI applications. Learn GPT-4, embeddings, function calling, assistants API, and production best practices.
Master Pandas for data analysis. Learn DataFrames, data cleaning, manipulation, grouping, merging, and visualization with practical examples.
Complete guide to machine learning with scikit-learn. Learn classification, regression, clustering, model evaluation, and building ML pipelines.
Master Claude AI API for building AI applications. Learn chat completions, tool use, vision, streaming, and production best practices.
Master natural language processing with spaCy Python. Learn tokenization, NER, POS tagging, text classification, and build NLP pipelines for production.
Master data visualization with Matplotlib. Learn to create line plots, bar charts, scatter plots, histograms, and customize your visualizations.
Learn to use OpenAI's ChatGPT API in Python. Build chatbots, generate content, and integrate AI into your applications with practical examples.
Learn prompt engineering techniques for ChatGPT, Claude, and other LLMs. Master zero-shot, few-shot, chain-of-thought, and advanced prompting strategies.
Build speech recognition applications with Python. Learn speech-to-text, voice commands, audio processing with Whisper, SpeechRecognition, and real-time transcription.
Deploy Llama and other open-source LLMs locally. Learn Ollama, llama.cpp, quantization, and build private AI applications without cloud APIs.
Master NumPy for scientific computing. Learn arrays, mathematical operations, broadcasting, and data manipulation with practical examples.
Master Stable Diffusion for AI image generation. Learn prompting, ControlNet, LoRA fine-tuning, and build image generation applications.
Master MLOps for production ML systems. Learn model versioning, experiment tracking, CI/CD for ML, model serving, and monitoring best practices.
Master computer vision with OpenCV Python. Learn image processing, object detection, face recognition, and build real-world vision applications.
Learn NLP fundamentals with Python. Text preprocessing, sentiment analysis, named entity recognition, and building NLP applications with NLTK and spaCy.