阿里巴巴高德大模型算法实习生（LBS智能检索与Agent方向）

Learn about machine learning and AI with this comprehensive 11-hour course from ‪@LunarTech_ai‬.

Learn Machine Learning in a way that is accessible to absolute beginners.

Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.

Learn about all the most important concepts and terms related to machine learning and AI.

Interactive deep learning book with code, math, and discussions.

面向中文读者的能运行、可讨论的深度学习教科书。

Breaking down how Large Language Models work, visualizing how data flows through.

An interactive visualization tool showing you how transformer models work in large language models (LLM) like GPT.

Breaking down how Large Language Models work, visualizing how data flows through.

Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze, Introduction to Information Retrieval, Cambridge University Press. 2008.

Welcome to Zero to Hero for Natural Language Processing using TensorFlow!

Natural Language Processing tutorial for beginners series in Python.

The foundations of the effective modern methods for deep learning applied to NLP.

中文，免费，零起点，完整示例，基于最新的Python 3版本。

a free interactive Python tutorial for people who want to learn Python, fast.

Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!

This course will give you a full introduction into all of the core concepts in python.

PyTorch是利用深度学习进行数据科学研究的重要工具，在灵活性、可读性和性能上都具备相当的优势，近年来已成为学术界实现深度学习算法最常用的框架。

Learn PyTorch for deep learning in this comprehensive course for beginners. PyTorch is a machine learning framework written in Python.

Learn how to implement RAG (Retrieval Augmented Generation) from scratch, straight from a LangChain software engineer.

You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.

LLaMA Factory is an easy-to-use and efficient platform for training and fine-tuning large language models.

DeepSpeed model training is accomplished using the DeepSpeed engine.

Faiss is a library for efficient similarity search and clustering of dense vectors.

In this section we’ll use this information to build a search engine that can help us find answers to our most pressing questions about the library!

This page provides a list of tutorials for you to interact with Milvus.

In this tutorial, we’ll explore Milvus, a highly scalable open-source vector database.

Discover the power of Milvus, an open-source vector database revolutionizing AI applications.

Vector databases have been trending recently as they power modern search, recommendations, and AI-driven applications.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.