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Tutorial sull’IA

Resta al passo con le ultime tecniche, strumenti e ricerche nell’intelligenza artificiale. I nostri tutorial sull’IA ti guideranno attraverso modelli di machine learning complessi.
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LlaMA-Factory WebUI Beginner's Guide: Fine-Tuning LLMs

Learn how to fine-tune LLMs on custom datasets, evaluate performance, and seamlessly export and serve models using the LLaMA-Factory's low/no-code framework.

Abid Ali Awan

2 settembre 2024

Cursor AI: A Guide With 10 Practical Examples

Learn how to install Cursor AI on Windows, macOS, and Linux, and discover how to use it through 10 different use cases.
François Aubry's photo

François Aubry

9 marzo 2026

RankGPT as a Re-Ranking Agent for RAG (Tutorial)

RankGPT is a method that uses LLMs like ChatGPT to re-rank retrieved documents in RAG systems, improving the quality of the output by prioritizing the most relevant information.
Ryan Ong's photo

Ryan Ong

29 agosto 2024

Building LangChain Agents to Automate Tasks in Python

A comprehensive tutorial on building multi-tool LangChain agents to automate tasks in Python using LLMs and chat models using OpenAI.
Bex Tuychiev's photo

Bex Tuychiev

28 agosto 2024

Variational Autoencoders: How They Work and Why They Matter

Learn the foundational principles, applications, and practical benefits of variational autoencoders and follow a step-by-step implementation with PyTorch.
Kurtis Pykes 's photo

Kurtis Pykes

13 agosto 2024

Apple's DCLM-7B: Setup, Example Usage, Fine-Tuning

Get started with Apple's DCLM-7B large language model and learn how to set it up, use it, and fine-tune it for specific tasks.
Dimitri Didmanidze's photo

Dimitri Didmanidze

12 agosto 2024

PyTorch's torchchat Tutorial: Local Setup With Python

Learn how to set up PyTorch’s torchchat locally with Python in this hands-on tutorial, which provides step-by-step guidance and examples.
François Aubry's photo

François Aubry

12 agosto 2024

Tiktoken Tutorial: OpenAI's Python Library for Tokenizing Text

Tiktoken is a fast BPE tokenizer developed by OpenAI, primarily used to count tokens for their large language models and ensure efficient text processing within specified limits.
Dimitri Didmanidze's photo

Dimitri Didmanidze

7 agosto 2024

DeepChecks Tutorial: Automating Machine Learning Testing

Learn how to perform data and model validation to ensure robust machine learning performance using our step-by-step guide to automating testing with DeepChecks.
Abid Ali Awan's photo

Abid Ali Awan

6 agosto 2024

pgvector Tutorial: Integrate Vector Search into PostgreSQL

Discover how to enhance PostgreSQL with vector search capabilities using pgvector. This tutorial guides you through installation, basic operations, and integration with AI tools.
Moez Ali's photo

Moez Ali

20 gennaio 2026

Getting Started With Codestral Mamba: Setup & Applications

Codestral Mamba is a 7-billion parameter code generation model by Mistral AI, utilizing the Mamba architecture for efficient and extended context coding.
Ryan Ong's photo

Ryan Ong

6 agosto 2024

DeepSeek-Coder-V2 Tutorial: Examples, Installation, Benchmarks

DeepSeek-Coder-V2 is an open-source code language model that rivals the performance of GPT-4, Gemini 1.5 Pro, Claude 3 Opus, Llama 3 70B, or Codestral.
Dimitri Didmanidze's photo

Dimitri Didmanidze

31 luglio 2024