Generative AI : LLM, Fine-tuning, RAG & Prompt engineering
What you'll learn
- Access and fine-tune over 100 models on Hugging Face, leveraging 100,000+ datasets
- Save 10+ hours per week by automating your prompts
- Work on a real-world project that covers everything from dataset creation to deployment
- Deploy models easily with Hugging Face using pre-built Gradio templates
- Configure RAG on Google Gemini Pro
- Master RAG concepts with LangChain to build retrieval-augmented systems
- Build every kind of LLM-based application
- Gain hands-on experience in cost-effective model fine-tuning with open-source tools
- Quickly create new datasets in a few simple steps
- Learn fine-tuning techniques used by industry experts
- Explore advanced techniques like Fusion Retrieval and GraphRAG
- Use free GPU resources and hosting
- Learn how to evaluate your model's performance
- Understand how to handle edge cases, biases, and ethical considerations when working with AI models
Requirements
- A genuine curiosity to learn about Generative AI and its applications.
- Familiarity with Python is helpful.
Description
This course covers everything from Large Language Models (LLMs) and prompt engineering to fine-tuning , as well as advanced concepts like Direct Preference Optimization (DPO). You'll also dive deep into Retrieval-Augmented Generation (RAG), which enhances your LLMs' capabilities by integrating retrieval systems for more accurate and superior responses.
By the end of this course, you'll be equipped to create AI solutions that align perfectly with human intent and outperform standard models.
What You Will Get
In addition to the core topics, our course features in-depth, real-world case studies on fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG). These case studies not only highlight cutting-edge techniques but also offer practical, hands-on insights into their application in real-world AI projects. By exploring actual scenarios and projects, learners will gain a deep understanding of how to effectively utilize these methods to solve complex challenges. The case studies are designed to bridge the gap between theory and practice, enabling participants to see how these advanced techniques are deployed in industry settings.
Moreover, these examples provide a step-by-step framework for applying theoretical concepts to real-world applications. Whether it's fine-tuning models for enhanced performance, engineering prompts for improved outputs, or leveraging retrieval systems to augment generation, learners will be able to confidently implement these strategies in their own projects. This ensures that by the end of the course, participants will not only have a solid foundation in generative AI concepts but also the ability to apply them in practical, impactful ways.
Who this course is for:
- Perfect for those who are curious about AI and want to understand the basics of Generative AI and its real-world applications.
- Students or recent graduates looking to build foundational knowledge in AI, LLMs (Large Language Models), and prompt engineering.
- For professionals from any field who want to explore how Generative AI can be integrated into business operations and decision-making.
- Designed for those looking to understand how AI can enhance business processes and innovation through effective AI tools and how AI can be used to create images, text, and even code.
Instructor
- 4.4 Instructor Rating
- 232 Reviews
- 867 Students
- 10 Courses
Do you know the company which prints the money for the RBI/ Fed/ Central Banks? If you get access to that company’s resources, imagine how your life can change!
That’s a far-fetched and impractical thing, right?
But here's something which is equally exciting..
Rabbitt Learning: Giving you the access to learn AI and top skills from the creators, inventors and practitioners of AI Applications in the real world.
This is an initiative led by the Lion Founder, Mr. Harneet Singh, who is chosen as World's Top 100 AI Leaders in Europe among the likes of Google DeepMind CEO, Groq CTO and HuggingFace Cofounder etc., to educate and upskill people in AI with real world case studies.
The courses will be taught by the AI Man himself, Mr. Harneet Singh, a serial entrepreneur and IIT Delhi alumnus, who has an experience of building 5 companies from scratch and managing P&L of 1 Billion+, is also a member of Forbes Business Council, CII, and served as an AI consultant with South Korean Navy
Rabbitt Learning is the education arm of Rabbitt AI, a London based revolutionary Generative AI company backed by TC Group, and industry leaders like NVIDIA, Meta and Microsoft etc.
More about Rabbitt AI
We are the inventors of ChanceRAG (a no-code enterprise grade advanced RAG solution live on HuggingFace), NAVICA and Curators AI.
At Rabbitt, we are helping organisations "Own their Data and Own their AI". In the new world, we are helping companies become the Landlords of AI world rather than just the Tenants like the past Internet world.
Our philosophy is that "in the Gen AI world, Big is no longer Beautiful, rather Small is Soothing". Smaller, custom and industry specific fine tuned models are making more moves than one big model. At Rabbitt AI, we are the advocates of these and helping companies adopt Open Source AI models like LLama, Mistral, Falcon, BLOOM, Gemma etc.