In this hands-on tutorial, we’ll introduce LLMs and two main problems they face when it comes to production. First, high cost. Second, lack of domain knowledge. We then introduce vector databases as a solution to this problem. We cover how a vector database can facilitate data injection and caching through the use of vector embeddings.

Then we’ll use this knowledge to build an LLM application using LlamaIndex and Milvus, the world’s most popular vector database.

What you’ll need:
- Python 3.9 or above
- A basic understanding of vectors and databases

What you’ll learn:
- What is a vector database
- Why do LLMs face data issues?
- How to deal with data issues in an LLM

# What will you learn
In this hands-on tutorial, we’ll introduce LLMs and two main problems they face when it comes to production. First, high cost. Second, lack of domain knowledge. We then introduce vector databases as a solution to this problem. We cover how a vector database can facilitate data injection and caching through the use of vector embeddings.

Then we’ll use this knowledge to build an LLM application using LlamaIndex and Milvus, the world’s most popular vector database.

What you’ll need:
- Python 3.9 or above
- A basic understanding of vectors and databases

## Topics covered
- What is a vector database
- Why do LLMs face data issues?
- How to deal with data issues in an LLM

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Training

Join us for a hands-on tutorial building LLM applications that scale using Milvus and LlamaIndex.

Tutorial: Working with LLMs at Scale | Zilliz Webinar

<h1>What to Except</h1>
<p>You’ll receive an email from Zoom with the details to login for the session. We look forward to seeing you at the upcoming webinar!</p>
<ul>
<li>Thursday, June 15, 2023</li>
<li>9:00 AM Pacific | 12:00 PM Eastern</li>
<li>Hands-on tutorial</li>
</ul>
<h2>What you'll need</h2>
<ul>
<li>Python 3.9 or above</li>
<li>Code editor like VS Code</li>
<li>A basic understanding of vectors and databases</li>
</ul>


You’re in!

Training

Tutorial: Working with LLMs at Scale

What to Except

What you'll need