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Tutoriais de IA
Mantenha-se atualizado com as mais recentes técnicas, ferramentas e pesquisas em inteligência artificial. Nossos tutoriais de IA orientarão você em relação a modelos desafiadores de aprendizado de máquina.
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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
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
31 de julho 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.
Abid Ali Awan
29 de julho 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.
Abid Ali Awan
28 de julho 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.
Ryan Ong
28 de julho de 2024
Zero-Shot Prompting: Examples, Theory, Use Cases
Zero-shot prompting is a technique in which an AI model is given a task or question without any prior examples or specific training on that task, relying solely on its pre-existing knowledge to generate a response.
Dr Ana Rojo-Echeburúa
21 de julho de 2024
Few-Shot Prompting: Examples, Theory, Use Cases
Few-shot prompting is a technique in which an AI model is given a few examples of a task to learn from before generating a response, using those examples to improve its performance on similar tasks.
Dr Ana Rojo-Echeburúa
21 de julho de 2024
Building User Interfaces For AI Applications with Gradio in Python
Learn how to convert technical models into interactive user interfaces with Gradio in Python.
Bex Tuychiev
15 de julho de 2024
RAG vs Fine-Tuning: A Comprehensive Tutorial with Practical Examples
Learn the differences between RAG and Fine-Tuning techniques for customizing model performance and reducing hallucinations in LLMs.
Abid Ali Awan
14 de julho de 2024
Qwen (Alibaba Cloud) Tutorial: Introduction and Fine-Tuning
Qwen is a family of large language and multimodal models developed by Alibaba Cloud, designed for various tasks like text generation, image understanding, and conversation.
Dr Ana Rojo-Echeburúa
11 de julho de 2024
Chain-of-Thought Prompting: Step-by-Step Reasoning with LLMs
Unlock the full potential of Large Language Models (LLMs) with our guide on Chain-of-Thought (CoT) prompting. Learn how to enhance reasoning and problem-solving abilities in LLMs.
Andrea Valenzuela
10 de julho de 2024
MatMul-Free vs MatMul LLMs: Speed and Memory Consumption
This article compares the performance of MatMul-free and traditional large language models in terms of speed and memory usage.
Dimitri Didmanidze
10 de julho de 2024