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Tutoriales de IA

Mantente al día de las últimas técnicas, herramientas e investigaciones en inteligencia artificial. Nuestros tutoriales de IA te guiarán a través de modelos de aprendizaje automático desafiantes.
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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

28 de agosto de 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 de agosto de 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 de agosto de 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.
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François Aubry

12 de agosto de 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 de agosto de 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.
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Abid Ali Awan

6 de agosto de 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.
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Moez Ali

20 de enero de 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.
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Ryan Ong

6 de agosto de 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 de julio de 2024

Fine-Tuning Gemma 2 and Using it Locally

This is a simple guide to fine-tuning Gemma 2 9B-It on patient-doctor conversations and converting the model into GGUF format so that it can be used locally with the Jan application.
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Abid Ali Awan

29 de julio de 2024

Fine-Tuning Llama 3.1 for Text Classification

Get started with the new Llama models and customize Llama-3.1-8B-It to predict various mental health disorders from the text.
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Abid Ali Awan

28 de julio de 2024

ScrapeGraphAI Tutorial: Getting Started With AI Web Scraping

ScrapeGraph AI is an open-source tool that simplifies web scraping by automatically extracting structured data from websites, allowing users to interact with and retrieve the data through simple prompts.
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Ryan Ong

28 de julio de 2024