Tag: Machine-Learning

Learn how to build a semantic search engine using embeddings, natural language processing, and Python.

Learn the fundamentals of Applied AI with Python, setting up your environment, and cultivating system thinking.

Learn how to design and orchestrate complex AI-driven workflows using multi-agent systems.

Learn how to use LangExtract for multi-pass extraction and refinement of complex documents.

Learn how to deploy LangExtract in a production environment for reliable, efficient, and scalable data extraction.

Learn how to build a real-time supply chain intelligence platform using Databricks Lakehouse, Apache Kafka, and other cutting-edge …

Explains the principles and implementation of semantic caching using Redis LangCache, focusing on embeddings and vector similarity.

Learn how to use Transformers.js, a JavaScript library for running state-of-the-art machine learning models in the browser.

Learn how to build a sentiment analyzer using Transformers.js and JavaScript.

A comprehensive guide for mastering advanced agentic AI systems in production, covering challenges and best practices.

A comprehensive guide to Large Language Model (LLM) quantization, covering its principles, various techniques (4-bit, 8-bit, GGUF), …

A comprehensive guide to deploying and serving Large Language Models (LLMs) locally, focusing on Ollama for running pre-packaged models, and …