LLM - Fine tune with custom data

🌟 Course Title: LLM - Fine Tune with Custom Data

🚀 Course Headline: Learn how to fine tune GPT 3.5 Turbo models using OpenAI, Gradient platforms with your own dataset!

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Introduction to LLM and Fine Tuning 📘

Embark on a transformative educational journey with our course, "LLM - Fine Tune with Custom Data." This course is meticulously designed for enthusiasts and professionals looking to elevate their machine learning expertise. You'll gain valuable insights into the art of fine-tuning language models with your unique datasets, paving the way for groundbreaking applications in AI.

• Understand the core concepts and advanced techniques in artificial intelligence and language modeling.
• Explore the critical role of fine-tuning in enhancing the performance of language models.
• Learn about the various strategies and model parameters that influence the fine-tuning process.

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Fine Tune Using GPT Models 🧠

Dive into the practical aspects of fine-tuning with a focus on GPT models. This section covers everything from selecting the right model for your use case to preparing and formatting sample data for training. You'll learn:

• The essential steps in data preparation, including token counting and managing potential pitfalls like warnings and costs.
• How to navigate the fine-tuning process effectively, with a clear distinction between training and validation data.
• The practical aspects of uploading data, creating a fine-tune job, and implementing quality assurance measures for your model.

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Use Gradient Platform to Quickly Fine Tune 🛠️

Discover the power of Gradient AI Platform, an advanced tool specifically designed for fine-tuning, RAG development, and deploying language models tailored for various industries. With Gradient:

• Upload and train base foundational models with your own dataset.
• Utilize pre-tuned, domain-specific AI that understands context relevant to sectors like healthcare and financial services.

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Create a Elon Musk Tweet Generator 🚀

Channel the creativity of visionary entrepreneur Elon Musk by training a foundation model using his sample tweets. Then, take it a step further by creating your own "Elon Musk Tweet Generator" using the 'New Fine Tune Model' feature. Demonstrate its capabilities with a Streamlit app that compares tweets generated by OpenAI against those from your very own model.

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Data Extraction Fine-Tune Model 🔍

Learn to extract 'valuable information' from raw text data. Utilize the fine-tuned model to analyze text, answer questions, and much more. Real-world examples include identifying person, amount spent, and items from raw expense transactions. This section will teach you:

• How to pass sample datasets with questions and answers.
• Techniques for analyzing raw texts to obtain valuable information.

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Enroll Now! 🎓

Unlock the true potential of personalized language models by fine-tuning them with your own data. This course equips you with the knowledge and skills needed to create innovative applications in machine learning. Enroll today, and take your first step towards becoming an expert in fine-tuning GPT models with OpenAI and Gradient platforms!

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Why You Should Take This Course:

✅ Gain a deep understanding of language model fine-tuning with custom datasets. ✅ Learn to leverage GPT models for various applications using practical, hands-on techniques. ✅ Utilize the Gradient platform to accelerate your fine-tuning process and create domain-specific AI. ✅ Develop unique applications like the Elon Musk Tweet Generator to showcase your skills. ✅ Master data extraction techniques to turn raw text into actionable insights.

Don't miss this opportunity to master fine-tuning with LLM - Fine Tune with Custom Data! 🌟