Discover how to revolutionise your AI applications with RouteLLM, an opensource framework designed for costeffective large language model (LLM) routing! In this video, we'll dive deep into the Route LLM framework, demonstrating how you can achieve performance nearly equal to GPT4 while cutting costs by over 85%. Create Powerful AI Application with 85% Lower Cost

What You’ll Learn:
Understanding Route LLM and its benefits
Stepbystep integration with Python applications
Detailed setup for AnyScale, Ollama, and Groq models
Realworld examples showcasing cost reductions
Creating a user interface with Chainlit for seamless query routing

Links:
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GPU for 50% of it's cost: https://bit.ly/mervinpraison Coupon: MervinPraison (50% Discount)
Code: https://mer.vin/2024/07/routellmcode...

Why Watch?
By the end of this video, you’ll be equipped with the knowledge to integrate Route LLM into your own projects, significantly reducing your AI query costs without compromising on performance. Perfect for developers and AI enthusiasts looking to optimize their large language model usage.

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Timestamps:
0:00 Introduction to Route LLM
0:30 Performance and Cost Savings Overview
1:00 Research Findings and Performance Metrics
1:50 Integrating Route LLM with Python
3:10 Setting Up AnyScale, Ollama, and Groq Models
7:30 Creating a User Interface with Chainlit
8:30 Troubleshooting and Final Thoughts