Beginner's Guide to Vector Embeddings

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Recently, I developed ground-breaking LLM technology that outperforms OpenAI and the likes. Among many foundational innovations, at its core it relies on variable-length embeddings and probabilistic vector search to find embeddings stored in crawl summary tables, similar to those derived from user prompts. I even offer a free course on the topic. However, to fully understand what I do or what GPT-like systems do, and be able to create your own apps, you first need to understand the basics. This free workshop is a great introduction on this topic and will help you jump-start your projects.

Overview

Come join our upcoming webinar on the transformative power of vector embeddings!

In today's rapidly evolving technological landscape, understanding the core mechanics of AI and machine learning is no longer an option but a necessity. Vector embeddings stand at the forefront of this revolution, offering unprecedented ways to analyze and interpret vast amounts of data. Through this webinar, you'll discover why vector embeddings are a crucial tool in the development of intelligent applications and data analytics.

Expect to dive into engaging discussions, enriched with recent statistics underscoring the booming AI industry's demands for skilled professionals. Furthermore, we're excited to offer a live demo and code-share session during the webinar, providing a hands-on experience with vector embeddings.

You’ll learn:

• The fundamentals of vector embeddings and their significance in AI.
• How to apply vector embeddings in real-world data analysis and machine learning projects.
• Techniques for improving the accuracy of your models using vector embeddings.
• Insights into the latest trends and developments in vector embedding technology.
• Practical tips for implementing vector embeddings in your applications.

Register here.