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Linkedin - Fine-Tune Your LLMs
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276.64 MiB (290080832 Bytes)
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2024-05-19 21:46:11 GMT
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abdenna VIP
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Info Hash:
506E82742F99A9A40B9DDBCB2D99EE57105DEF36




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Course details

In this course, award-winning tech innovator and AI/ML leader Kesha Williams guides you through several concepts and techniques that you can use to fine-tune LLMs using your own data. Explore the concepts and costs of fine-tuning and learn how to set up your environment for it. Go over the steps to prepare your data and fine-tune a pre-trained LLM. Plus, practice evaluating and iterating a fine-tuned model. Practical, hands-on challenges in each chapter give you a chance to deepen your understanding of the topics

1. Introduction/1. Introduction to fine-tuning LLMs.mp43.36 MiB
1. Introduction/2. Review the fine-tuning project.mp412.48 MiB
2. Exploring Concepts and Costs of Fine-Tuning/1. Explore LLMs.mp410.57 MiB
2. Exploring Concepts and Costs of Fine-Tuning/2. Review the fine-tuning process.mp49.81 MiB
2. Exploring Concepts and Costs of Fine-Tuning/3. Understand the costs of fine-tuning.mp48.13 MiB
3. Setting up Your Environment for Fine-Tuning/1. Explore the OpenAI API for fine-tuning.mp413.12 MiB
3. Setting up Your Environment for Fine-Tuning/2. Use GitHub codespaces.mp412.4 MiB
3. Setting up Your Environment for Fine-Tuning/3. Sign up for an OpenAI account.mp414.77 MiB
4. Preparing Data for Fine-Tuning/1. Source data for fine-tuning.mp413.19 MiB
4. Preparing Data for Fine-Tuning/2. Challenge- Source data for fine-tuning.mp41.67 MiB
4. Preparing Data for Fine-Tuning/3. Solution- Source data for fine-tuning.mp420.31 MiB
4. Preparing Data for Fine-Tuning/4. Prepare data for fine-tuning.mp417.25 MiB
4. Preparing Data for Fine-Tuning/5. Challenge- Prepare and upload data for fine-tuning.mp41.68 MiB
4. Preparing Data for Fine-Tuning/6. Solution- Prepare and upload data for fine-tuning.mp414.42 MiB
5. Fine-Tuning a Pretrained LLM/1. Train a new fine-tuned model.mp412.52 MiB
5. Fine-Tuning a Pretrained LLM/2. Challenge- Fine-tune a pretrained LLM.mp42.04 MiB
5. Fine-Tuning a Pretrained LLM/3. Solution- Fine-tune a pretrained LLM.mp413.85 MiB
5. Fine-Tuning a Pretrained LLM/4. Retrieve and use a fine-tuned model.mp417.64 MiB
5. Fine-Tuning a Pretrained LLM/5. Challenge- Develop a chatbot based on a fine-tuned model.mp43.66 MiB
5. Fine-Tuning a Pretrained LLM/6. Solution- Develop a chatbot based on a fine-tuned model.mp415.39 MiB
6. Evaluating a Fine-Tuned Model/1. Evaluate a fine-tuned model.mp418.89 MiB
6. Evaluating a Fine-Tuned Model/2. Iterate a fine-tuned model.mp416.39 MiB
6. Evaluating a Fine-Tuned Model/3. Challenge- Evaluate a fine-tuned model.mp41.72 MiB
6. Evaluating a Fine-Tuned Model/4. Solution- Evaluate a fine-tuned model.mp418.13 MiB
7. Conclusion/1. Your fine-tuning journey.mp43.25 MiB