데브허브 | DEVHUB | RouteLLM in ChatLLM: Optimise AI for Cost, Latency and Quality!
🔥 Route LLM: Intelligent Query Routing for Language Models
Discover how Route LLM intelligently routes user queries to the most suitable language model, optimising for quality, cost, and latency!
🔗 Try It Now:
Sign up here: https://bit.ly/abacusai-chatllm
🚀 Key Features:
Intelligent routing based on query complexity
Cost optimisation for simple vs complex queries
Quality-focused model selection
Automatic latency optimisation
💡 Models & Capabilities Combined:
Claude 3.5 - Superior coding abilities
O1 Preview - Advanced reasoning
O1 Mini - Efficient coding
Gemini - 1M context handling
GPT-4 Mini - Lightning-fast responses
🎯 Use Cases Demonstrated:
Simple queries (routed to GPT-4 Mini)
Complex programming tasks (routed to Claude 3.5)
Logical reasoning problems (routed to O1 Mini)
PDF analysis and RAG implementations
Vector database queries
💼 Business Solution:
Chat LLM for Teams - Start at $10/user/month
✨ Features include:
Multiple LLM access
User management
Advanced reporting
PDF chat capabilities
Custom chatbot creation
🛠️ Technical Capabilities:
Automated model selection
Context-aware routing
Cost-efficient processing
Seamless integration
Real-time optimisation
#AI #MachineLearning #LLM #RouteLLM #AITechnology #Programming #TechInnovation #ArtificialIntelligence
⚠️ Disclaimer: This video is sponsored by Abacus AI.
0:00 - Introduction to Route LLM
0:28 - Simple vs Complex Query Examples
1:00 - Chat LLM for Teams Overview
1:24 - Live Demo: Simple Query Test
1:30 - Complex Code Generation Example
1:45 - Platform Pricing & Features
2:20 - Step-by-Step Usage Guide
2:41 - Snake Game Code Generation Test
3:01 - Logical Reasoning Test
3:45 - RAG (Retrieval-Augmented Generation) Demo
4:07 - PDF Analysis Demonstration
4:29 - Summary of Route LLM Capabilities
4:41 - Outro
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