Good morning everyone!
Before we start, this is video 5/10 of the “From Beginner to Advanced LLM Developer” course by Towards AI. Join our Cyber Monday Cohort now before December 8th with 15% off here!
In this iteration we’re exploring how to improve how you find information in your RAG applications.
We’ll cover everything from old-school keyword searches to more recent methods such as GraphRAG.
By the end, you’ll know exactly how to make your data work for you.
But first, here's a quick word from our sponsor: RenderNet!
1️⃣ Bring Characters to Life with AI Videos (sponsor)
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Steps to bring your character to life
1-Log onto - https://rendernet.ai/ and sign up using your email id.
2- Click ‘Create New’ and follow the steps to create your character.
3- Choose your character and type a prompt describing the scene and character’s motion.
4-Click ‘Generate Video’ to create your character video.
2️⃣ Techniques for Optimizing Search in RAG Systems
When it comes to building smarter RAG systems, there’s a whole toolbox of search techniques you can use.
From classic keyword searches to semantic embedding searches, hybrid approaches, and even advanced methods like GraphRAG, each has its strengths. In this video, we’ll break them down and show you how to pick the right one for your needs, whether you’re after quick matches, deep context, or complex connections.
Learn more in the video (or written article):
3️⃣ From Beginner to Advanced LLM Developer Course
We did our best to create the most practical and in-depth LLM Developer course out there (~90 lessons) for software developers, machine learning engineers, data scientists, aspiring founders or AI/Computer Science students.
We’ve gathered everything we worked on building products and AI systems and put them into one super practical industry-focused course. Right now, this means working with Python, OpenAI, Llama 3, Gemini, Perplexity, LlamaIndex, Gradio, and many other amazing tools (we are unaffiliated and will introduce all the best LLM tool options). It also means learning many new non-technical skills and habits unique to the world of LLMs.
Check it out here or look at our book Building LLMs for Production to learn more! Get 15% off with the code "CYBER_MONDAY_2024" this week only!
And that's it for this iteration! I'm incredibly grateful that the What's AI newsletter is now read by over 20,000 incredible human beings. Click here to share this iteration with a friend if you learned something new!
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Thank you for reading, and I wish you a fantastic week! Be sure to have enough sleep and physical activities next week!
Louis-François