Systematically Improve Your RAG Applications¶
Enhance your Retrieval-Augmented Generation (RAG) systems with our advanced course launching in February 2024.
Our program has drawn students from major tech companies like Amazon, Adobe, and Zapier, as well as independent AI consultants. We break down your system into its key parts, identify problem areas, and guide you through targeted experiments to improve your system's overall performance.
We go beyond vague advice like "just make it better." Instead, we offer clear, step-by-step instructions on how to effectively analyze and use your data. You'll learn what it truly means to 'examine your data' and how to apply this knowledge to create superior products.
Sign up now to gain:
- Practical, hands-on learning experiences
- Real-world case studies
- 12 hours of dedicated time with expert instructors
- Access to a community of like-minded professionals
Don't miss this opportunity to elevate your RAG skills and maintain a competitive edge in the rapidly evolving AI field.
This course is for professionals who want to build real-world RAG systems.
Why now?¶
- RAG is new, so everyone starts at the same level
- It's a chance to learn before others do
- Understanding RAG early can give you an edge
Will things change a lot by February?¶
- The course teaches problem-solving skills that don't change
- You'll learn how to test and find issues quickly
- You'll learn how to use resources well in RAG systems
Why should my team take this course?¶
- Get everyone on the same page about RAG best practices
- Save time by avoiding mistakes
- Build systems that can grow without needing to start over
What are people saying?¶
Max (Software Engineer, Launch School)¶
⭐⭐⭐⭐⭐ This course was exactly what I was looking for, as an engineer building a production RAG system. I took away practical lessons from every lecture that I could go back and implement in my own work. More than that, interacting with the other students and guest speakers felt like I was learning from a community on the vanguard of this emerging field. A lot of the best practices in this field are still unpublished (or buried in technical papers). This course was a head start on what I suspect will be established conventions in a few years.
Christopher (Senior Data/AI Architect, Procurement Sciences AI)¶
⭐⭐⭐⭐⭐ This course does an excellent job of stressing the fundamentals while providing useful metric tools to measure the current state of your RAG system and then show concrete improvement. The teachers have a deep background in RAG and recommendation system. The guest speakers are professionals working at the edges of RAG technologies and share their insights and journey. The peer group is also fantastic and built from peers also working in the field on actual RAG implementations.
Vitor (Staff Software Engineer, Zapier)¶
⭐⭐⭐⭐⭐ Anyone can ship a shiny RAG demo, but evolving it into something actually useful and accurate is a whole different story-- Jason and Dan help set you on the right path with this course that's jam-packed with content, insights, and practical lessons from their experience working with industry leaders. I especially enjoyed the emphasis on looking at your data and building a flywheel that's grounded on evaluations and metrics, and not "vibes"-based AI engineering. If you want to get serious about building RAG systems, this course can save you months of trial and error. Highly recommended!
Moose (Founder & CEO, Sociail, Inc.)¶
⭐⭐⭐⭐⭐ Wow, this six-week online course on Improving RAG was a game-changer! I had an absolute blast learning alongside more than 100 fellow coursemates, all bringing different levels of experience to the table. The guest lectures were a real treat, adding some serious firepower to our learning. But here's the real kicker — despite our varied backgrounds, Jason and Dan somehow managed to create a solid baseline for everyone. They've got this knack for breaking down complex RAG concepts into a framework that just clicks, no matter where you're starting from. I walked away with great validation and practical ideas we could apply to our production RAG implementation right away in our startup, which is precisely what I was hoping for. The course delivered great value, striking that perfect balance between theory and real-world application. It's pretty amazing how they pulled it off, considering they only had six weeks and how quickly the RAG field is evolving. Kudos to Jason, Dan, and the whole team for putting together such an incredible learning experience!
Our Guarantee¶
If you don't feel better about the progress you're making in 4 weeks, you'll get your money back no questions asked.
Enroll now on Maven (starts Feb 4)
How to get reimbursed
Hey {manager},
There's a course called "Systematically Improving RAG Applications" that I'd like to enroll in. It's a live, online course run on Maven, where professionals from companies like Meta, Google, and Airbnb go to level up their skills. Here are the key points: • Expert Teacher: Learn from Jason Liu, who has 8 years of experience building systems that suggest things and search for information. • Hands-on Learning: 6-week course covering important topics like making fake data, directing questions, and improving how computers understand words. • Use It Now: Practice sessions to try out ideas like quick testing and live data streaming. • Big Picture View: Learn how to make searches better, get feedback, and use data to make smart choices. • Save Time and Money: Learn how to work faster, make users happier, and keep them coming back. • Ready for the Future: Focus on ideas that will help you quickly test and use new tech. • Free Stuff: Get over $1,500 in free credits for tools like Cohere, LanceDB, and Modal Labs. • No Risk: Get your money back if you don't see real improvements in 5 weeks.
The course costs $1,650. I can share the learnings with our team, multiplying the value of this investment. Course details: https://maven.com/applied-llms/rag-playbook
What do you think?
Thanks,
P.S. Other teams have sent a few people to the course together because it's an efficient way to get shared context that otherwise takes back-and-forth time to build. It might make sense for us to send a few folks to this course.
Limited Availability: Expert RAG Consulting¶
I can also help you with custom solutions for your AI problems through my Applied AI Consulting Services. With 8 years of experience at companies like Stitchfix, Meta, and NYU, I'm good at:
- Making AI systems that get better on their own
- Building search systems that use pictures and words
- Creating ways to test search and recommendation systems
- Choosing smart AI research projects and checking out AI companies
My services include:
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Support You Can Count On: Help when you need it, with weekly check-ins, lots of communication, and advice on what to do next.
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Big Picture Planning: Use AI to make your business better, make more money, and be worth more. We'll talk every week, help you anytime, and connect you with other experts.
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Full Service Help: Make your AI better by trying new things, doing research, fixing how you work, and teaching your team.
I've worked with companies that big investors believe in. I can help turn your AI problems into ways to grow your business.
Lowest prices: - Help anytime: $9,500 per month - Big Picture Planning: Starts at $50,000 for 3 months - Full Service Help: Starts at $120,000 for 3 months