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List of Generative AI Resources

January 27, 2024
in Data Science & ML
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Introduction:
The emergence of Large Language Models (LLMs) such as ChatGPT has revolutionized how we interact with technology, opening up a new era of possibilities. These advanced models have redefined our engagement with digital platforms, allowing us to effortlessly write emails and bring our imaginations to life through generative AI. However, while we marvel at the outputs of Generative AI, many still lack a deep understanding of its fundamentals and practical applications. This blog aims to bridge that gap by providing a solution – Generative AI Resources. We have meticulously curated a list of top Generative AI courses that will empower you with cutting-edge knowledge and serve as a roadmap to unravel the magic behind these amazing tools. Whether you’re a curious learner, an aspiring AI enthusiast, or a professional looking to enhance your skill set, these courses cater to your thirst for knowledge.

List of Generative AI Resources:
Step 1: Getting started with Generative AI:
If you’re new to Generative AI, we recommend starting with the course “Generative AI for Everyone.” This course explores the workings of generative AI, common use cases, and capabilities. It also teaches you how to build effective prompts and understand the potential opportunities and risks associated with this technology. Additionally, you can learn about popular Generative AI tools like ChatGPT and Midjourney in the “Generative AI Tools” course. This course covers the basics of generative AI, popular tools for text and image generation, and their applications in various domains.

Additional Generative AI Resources:
– “The state of GPT” by Karpathy: Watch the video here
– “A Gentle Introduction To Generative AI For Beginners”: Read the article here

Step 2: Learning about Prompt Engineering:
After gaining a basic understanding of Generative AI, it’s time to dive into Prompt Engineering. This crucial aspect of interacting with LLMs and achieving desired results can be learned through the course “Prompt Engineering” by Codecademy. For a more detailed exploration, we highly recommend the comprehensive guide on Prompt Engineering, which covers topics like zero-shot learning, few-shot learning, and chain-of-thought learning. It also provides general tips for designing effective prompts.

Additional Generative AI Resources:

Step 3: Understanding Large Language Models (LLMs):
Once you have interacted with ChatGPT and familiarized yourself with the standard interface, you can move on to designing your own systems using the ChatGPT API. The course “Building Systems with the ChatGPT API” by DeepLearning.ai teaches you how to split complex tasks into smaller ones and solve them using prompts. You can then explore the LangChain framework in the course “LangChain for LLM Application Development” to build context-aware applications with LLMs beyond ChatGPT. If you want to augment LLMs to suit specific use cases, the course “Building and Evaluating Advanced RAG Applications” covers the retrieval augmented generation (RAG) technique.

Additional Generative AI Resources:

Step 4: Exploring RLHF:
Reinforcement Learning from Human Feedback (RLHF) is a machine learning technique that optimizes the performance of AI agents through human feedback. The course “RLHF” by DeepLearning.ai provides knowledge on RLHF, fine-tuning LLMs using RLHF, and evaluating their performance.

Additional Generative AI Resources:

Step 5: Learning about Diffusion Models:
Generative AI isn’t limited to LLMs; if you’re interested in image generation, you should explore diffusion models. The course by Hugging Face covers topics such as basic diffusion models, stable diffusion, and fine-tuning a diffusion model.

Additional Generative AI Resources:

Bonus: Comprehensive Generative AI Program:
For a comprehensive and in-depth understanding of Generative AI, we recommend the Generative AI Pinnacle program. This program covers Prompt Engineering, RAG systems using LlamaIndex, finetuning LLMs (including LoRA, QLoRA, PEFT, and Stable Diffusion), and more.

Conclusion:
We hope this list of Generative AI resources proves helpful and guides you on your journey to understanding and mastering this transformative technology. With these courses, you’ll have the knowledge and skills to explore the endless creative possibilities offered by Generative AI.



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