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Tutoriale AI

Rămâneți la curent cu cele mai recente tehnici, instrumente și cercetări în inteligența artificială. Tutorialele noastre de AI vă vor ghida prin modele de învățare automată dificile.
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DeepSeek API: A Guide With Examples and Cost Calculations

Learn how to use the DeepSeek API, including model selection, parameter management, cost optimization, context caching, and chain-of-thought optimization.

11 februarie 2025

Llama 3.2 Vision With RAG: A Guide Using Ollama and ColPali

Learn the step-by-step process of setting up a RAG application using Llama 3.2 Vision, Ollama, and ColPali.

7 februarie 2025

How to Deploy Llama 3.3 70B on the Cloud: A Hands-On Guide

Deploy the AWQ version of Llama 3.3 70B using vLLM, BentoML, and BentoCloud to create a highly efficient, low-latency system with exceptional throughput.

6 februarie 2025

Implementing the Hill Climbing Algorithm for AI in Python

Learn the hill climbing algorithm in Python. This guide covers types, limitations, and real-world AI applications with code examples.

4 februarie 2025

Lovable AI: A Guide With Demo Project

Learn how to build and publish a mobile app using Lovable AI, integrating it with Supabase for backend services and GitHub for version control.

3 februarie 2025

How to Use Qwen2.5-VL Locally

Learn about the new flagship vision-language model and run it on a laptop with 8GB VRAM.

3 februarie 2025

Implementing the Minimax Algorithm for AI in Python

Learn to code an unbeatable Tic-tac-toe AI using the Minimax algorithm in Python. This tutorial covers theory, implementation, and optimization, ideal for game AI enthusiasts.

31 ianuarie 2025

How to Set Up and Run DeepSeek R1 Locally With Ollama

Learn how to install, set up, and run DeepSeek-R1 locally with Ollama and build a simple RAG application.

30 ianuarie 2025

DeepSeek R1 Demo Project With Gradio and EasyOCR

In this DeepSeek-R1 tutorial, you'll learn how to build a math puzzle solver app by integrating DeepSeek-R1 with EasyOCR and Gradio.

30 ianuarie 2025

Getting Started with TorchRL for Deep Reinforcement Learning

A beginner-friendly guide to TorchRL for deep reinforcement learning—learn to build RL agents with PyTorch through practical examples.

29 ianuarie 2025

How to Use DeepSeek Janus-Pro Locally

Learn how to set up the DeepSeek Janus-Pro project, build your own Docker image, and run the Janus web application locally on your laptop.

29 ianuarie 2025

Fine-Tuning DeepSeek R1 (Reasoning Model)

Fine-tuning the world's first open-source reasoning model on the medical chain of thought dataset to build better AI doctors for the future.

27 ianuarie 2025