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Designing Fast & Cost-Efficient Agents: The Power of Caching - Jen Agarwal
Prompt vs. Semantic Caching: The Secret to 15x Faster & 90% Cheaper AI Agents
Why agents recompute the same prompt, and how prompt caching fixes it
AI Agent Performance & Cost: Token Optimization, Caching, Streaming & Async | Agentic AI Roadmap #16
AI Cost Optimization | Episode_11 | Semantic Caching
The Real Cost of Agentic AI: Tokens, Caching & Context Costs Explained
Ep 19: AI Cost Optimization — How to Build Affordable Production AI Systems | Agentic AI World
Optimizing AI Workflows: Context, Tokens, Caching and Real Costs
Master Token Caching: Slash LLM Costs & Latency
AI Cost Optimization | Episode_10 | Reduce API Call using Caching
AI Response Caching Explained | Reduce AI Costs & Latency
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Last Updated: September 28, 2026
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Summary
Ready to become a certified watsonx Generative AI Engineer? Register now and use code IBMTechYT20 for 20% off of your exam ... Learn how to cut your Mastra agent's input token How do AI token economics work?* Why does prompt Jen Agarwal tackles the critical challenge of LLM inference as a compute bottleneck for AI agents. She explains how agents' ... Are your AI agents slow, expensive, or repetitive? Large Language Models (LLMs) often waste significant time and money ... Fast, cheap agents win. Level 16 covers token and prompt arena.ai/agent Ever wondered why a single long agent session can Working with AI in complex processes is not simply a matter of choosing the most powerful model and letting it do everything. Stop paying for the same context over and over! Learn how token What if the same user asks the exact same question again? Why pay the LLM a second time? In this episode, we'll explore ... Why do AI applications become expensive and slow at scale? How do companies building ChatGPT-style systems reduce: ...
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