ChatGPT Open AI: Crear un modelo personalizado

ChatGPT | Open AI | Node JS | API | Fine Tuning

4.58 (165 reviews)
Udemy
platform
Español
language
Data Science
category
instructor
ChatGPT Open AI: Crear un modelo personalizado
6,742
students
2 hours
content
Nov 2023
last update
$39.99
regular price

What you will learn

Comprender el ecosistema ChatGPT de Open AI

Comprender las apis de Open AI

Crear API´s para crear un modelo personalizado

Crear una aplicación Node JS

Integración de la api con el modelo personalizado

Why take this course?

🧠 **Dive into the World of AI with ChatGPT & OpenAI** 🚀 **Course Headline:** ChatGPT | Open AI | Node JS | API | Fine Tuning --- ### Your Journey into AI with ChatGPT and OpenAI **Introduction to OpenAI API** 🌟 - Discover the power of OpenAI's API, which can be applied to a multitude of tasks involving natural language understanding or generation, code, and even images. - Explore the array of models available, each with varying levels of sophistication tailored for different applications. --- **Unlocking Creativity & Efficiency with OpenAI's Solutions** 🎨✨ - **Chat**: Engage in meaningful conversations powered by advanced language models. - **Text Completion**: Generate or edit compelling text content. - **Embeddings**: Perform text searching, classification, and comparison tasks. - **Speech to Text**: Convert spoken words into written form with ease. - **Image Generation**: Bring ideas to life through image creation and editing. - **Fine-tuning**: Train a model that thinks like you do. --- **🎯 Mastering Fine-tuning for Personalized AI Models** Fine-tuning is the key to unlocking the full potential of OpenAI's models. It allows you to: 1. **Improve Model Performance**: Achieve higher accuracy and better results with your custom model. 2. **Leverage Large Datasets**: Train on a more extensive set of examples than what's available in pre-defined symbols. 3. **Cost Efficiency**: Save on API usage due to fine-tuned models requiring fewer tokens per request. 4. **Reduce Latency**: Enjoy faster response times as your model becomes more efficient and tailored to your needs. --- **🛠️ Hands-on Learning: Building Your Own AI Model** In this course, we'll embark on a practical learning journey where you will: 1. **Understand the Basics**: Learn the fundamentals of Node JS and API integration. 2. **Explore Fine Tuning**: Discover how to fine-tune OpenAI's models to suit your specific needs. 3. **Develop Your Model**: Work through the process of creating a personalized AI model with fine-tuning. 4. **API Creation**: Build an API to interact with your custom model, allowing you to send and receive requests effortlessly. 5. **Deployment**: Learn how to deploy your API so it can be used in real-world applications. --- Join us on this exciting adventure where you'll turn theory into practice by building a state-of-the-art AI model with OpenAI's ChatGPT and fine-tuning capabilities. Whether you're a developer, a business owner, or an AI enthusiast, this course is designed to empower you with the knowledge and skills needed to harness the transformative power of AI. 🚀✨ Enroll now and let's create something extraordinary together! 🌟

Our review

🌟 **Course Overview:** The course "ChatGPT OpenAI: Crear un modelo personalizado" has received a high rating from recent reviewers, with an overall global rating of 4.72. The course is well-regarded for its comprehensive coverage of building a personalized model using ChatGPT and OpenAI's API, particularly for beginners looking to understand the basics and concepts for working with datasets and training models. **Pros:** - **Comprehensive Content:** The course provides extensive content on APIs, specifically REST JSON with Node.js, which is highly appreciated by users. - **Instructor Quality:** Reviewers consistently praise the instructor's expertise, clarity in explanation, and responsiveness to queries. - **Practical Approach:** The course is hands-on and directly gets into the topics, which is beneficial for learners who prefer a practical approach. - **Useful Resources:** Complementary resources are mentioned as a valuable addition to the learning experience. - **Progressive Learning Structure:** The course structure is designed to help learners assimilate content progressively, ensuring a solid understanding of basics before moving on to more complex topics. - **Community Engagement:** The instructor's willingness to engage with the community and answer questions is highlighted as a positive aspect of the course. - **Real-World Application:** Some users appreciate the real-world applicability of the skills taught, such as integrating the learned concepts into a larger development project. **Cons:** - **Technology Updates:** A few reviews suggest that the course content should be updated to align with the latest version of OpenAI's API. - **Frontend Integration:** Some users feel that more emphasis could be placed on how to integrate the backend developed with frontend applications. - **Coding Discrepancies:** There are instances where the instructor's code examples do not match what is demonstrated, which can cause confusion for learners. - **Beyond Basics:** Reviewers indicate a desire for more advanced content on refining models or implementing best practices to address common problems. - **API Versus Course Requisites:** Some users expected the course to include Node.js as a prerequisite, which was not explicitly mentioned. **User Experience:** The overall user experience is positive, with many learners finding the course "excellent" and stating that it exceeded their expectations. The feedback indicates that the course is beneficial for understanding how to train an AI model with a personalized touch using ChatGPT and OpenAI's API. **Final Verdict:** The course "ChatGPT OpenAI: Crear un modelo personalizado" is highly recommended for individuals interested in leveraging ChatGPT's capabilities and learning to create their own personalized models. The positive feedback across various aspects of the course suggests that it effectively meets the needs of learners with different levels of prior knowledge, from beginners to those who wish to deepen their understanding of model refinement and best practices.

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5273448
udemy ID
4/15/2023
course created date
5/9/2023
course indexed date
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