Discover how to revolutionise your AI applications with RouteLLM, an open-source framework designed for cost-effective 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 GPT-4 while cutting costs by over 85%. 📉 Create Powerful AI Application with 85% Lower Cost
What You’ll Learn:
Understanding Route LLM and its benefits 🌐
Step-by-step integration with Python applications 🐍
Detailed setup for AnyScale, Ollama, and Groq models 🔧
Real-world examples showcasing cost reductions 💰
Creating a user interface with Chainlit for seamless query routing 🖥️
🔗 Links:
Patreon: / mervinpraison
Ko-fi: https://ko-fi.com/mervinpraison
Discord: / discord
Twitter / X : / mervinpraison
GPU for 50% of it's cost: https://bit.ly/mervin-praison Coupon: MervinPraison (50% Discount)
Code: https://mer.vin/2024/07/routellm-code...
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
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