Учебные материалы по ИИ

Будьте в курсе новейших методик, инструментов и исследований в области искусственного интеллекта. Наши руководства по ИИ проведут вас через сложные модели машинного обучения.

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Introduction to Podman for Machine Learning: Streamlining MLOps Workflows

A lightweight, daemonless Docker Desktop alternative that streamlines container management, enabling fast training, evaluation, and deployment of machine learning models.

6 ноября 2024 г.

How to Use GPT-4o Audio Preview With LangChain and ChatOpenAI

Learn how to use OpenAI’s gpt-4o-audio-preview model with LangChain to build voice-enabled applications that include audio input, transcription, and generation.

4 ноября 2024 г.

Local AI with Docker, n8n, Qdrant, and Ollama

Learn how to build secure, local AI applications that protect your sensitive data using a low/no-code automation framework.

1 ноября 2024 г.

How to Run Llama 3.2 1B on an Android Phone With Torchchat

Get step-by-step instructions on how to set up and run Llama 3.2 1B on your Android device using the Torchchat framework.

31 октября 2024 г.

US Election 2024 Prediction With Machine Learning and Python

Learn how to predict the winner of the 2024 US presidential election using Python, machine learning, and data from FiveThirtyEight and the Federal Election Commission.

30 октября 2024 г.

Runway Act-One Guide: I Filmed Myself to Test It

Learn how to use Runway Act-One through both the web interface and its API, and discover how to combine it with Runway Gen3-Alpha.

29 октября 2024 г.

How to Build User Interfaces For AI Applications Using Streamlit And LangChain

Learn to build AI chatbots with Streamlit, LangChain, and Neo4j. This tutorial covers creating UIs for LLM apps, implementing RAG, and deploying to Streamlit Cloud.

15 октября 2024 г.

OpenAI Realtime API: A Guide With Examples

Learn how to build real-time AI applications with OpenAI's Realtime API. This tutorial covers WebSockets, Node.js setup, text/audio messaging, function calling, and deploying a React voice assistant demo.

11 октября 2024 г.

Fine-Tuning Phi-3.5 on E-Commerce Classification Dataset

Discover Microsoft's new LLM series and boost your model's accuracy from 65% to 86% by fine-tuning it on the E-commerce classification dataset.

10 октября 2024 г.

Swarm Intelligence Algorithms: Three Python Implementations

Learn how swarm intelligence works by implementing ant colony optimization (ACO), particle swarm optimization (PSO), and artificial bee colony (ABC) using Python.

10 октября 2024 г.

Speculative RAG Implementation With Transformers

Learn Speculative RAG, a technique that improves RAG through a two-step drafting and verification process, and apply your skills with a hands-on implementation using Hugging Face Transformers.

10 октября 2024 г.

Unsloth Guide: Optimize and Speed Up LLM Fine-Tuning

Fine-tuning the Llama 3.1 model to solve specialized algebra problems with high accuracy and detailed results using Unsloth.

9 октября 2024 г.