| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Understanding AI Costs | |||
| 0 - Do All LLMs Speak the Same Language (Description).html | 1 KB | ||
| 0 - Do All LLMs Speak the Same Language.mp4 | 217.4 MB | ||
| 1 - AI Consumer vs. AI Developer Two Approaches to AI Cost (Description).html | 921.6 B | ||
| 1 - AI Consumer vs. AI Developer Two Approaches to AI Cost.mp4 | 64.5 MB | ||
| 2 - How to Calculate Token Costs (Description).html | 1.5 KB | ||
| 2 - How to Calculate Token Costs.mp4 | 247.1 MB | ||
| 2 - Layer 1 — Control Output Costs | |||
| 3 - Layer 2 — Control Input Costs | |||
| 4 - Layer 3 — Reduce AI API Calls | |||
| 10 - Reduce API Calls with Semantic Caching (Description).html | 1.8 KB | ||
| 10 - Reduce API Calls with Semantic Caching.mp4 | 287.4 MB | ||
| 11 - Apply Per-User Rate Limits (Description).html | 1.9 KB | ||
| 11 - Apply Per-User Rate Limits.mp4 | 222.1 MB | ||
| 5 - Layer 4 — Reduce Cost per Token | |||
| 12 - Route Requests by Task Complexity (Description).html | 1.6 KB | ||
| 12 - Route Requests by Task Complexity.mp4 | 384.4 MB | ||
| 13 - Use Batch APIs for Lower-Cost Asynchronous Jobs (Description).html | 1.4 KB | ||
| 13 - Use Batch APIs for Lower-Cost Asynchronous Jobs.mp4 | 300.9 MB | ||
| 9 - Reduce API Calls with Exact-Match Caching (Description).html | 819.2 B | ||
| 9 - Reduce API Calls with Exact-Match Caching.mp4 | 341.7 MB | ||
| 5 - Control Costs with a Sliding Context Window (Description).html | 1.5 KB | ||
| 5 - Control Costs with a Sliding Context Window.mp4 | 306.3 MB | ||
| 6 - Summarize Conversation History to Reduce Tokens (Description).html | 1.4 KB | ||
| 6 - Summarize Conversation History to Reduce Tokens.mp4 | 169.5 MB | ||
| 7 - Compress Prompts Without Losing Meaning (Description).html | 1.4 KB | ||
| 7 - Compress Prompts Without Losing Meaning.mp4 | 155.9 MB | ||
| 8 - Use RAG to Retrieve Only Relevant Context (Description).html | 1.6 KB | ||
| 8 - Use RAG to Retrieve Only Relevant Context.mp4 | 254.8 MB | ||
| 3 - Reduce Output Tokens with Better Prompt Instructions (Description).html | 1.2 KB | ||
| 3 - Reduce Output Tokens with Better Prompt Instructions.mp4 | 252.4 MB | ||
| 4 - Set Maximum Tokens to Control Output Costs (Description).html | 1.5 KB | ||
| 4 - Set Maximum Tokens to Control Output Costs.mp4 | 249.8 MB |
AI Cost Optimization: Reduce LLM and API Spending
https://WebToolTip.com
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 56m | Size: 3.37 GB
Control token usage, reduce API calls, use caching, model routing, RAG, and batch processing to lower AI costs
What you'll learn
Identify the major sources of unnecessary AI and large language model costs.
Measure AI usage and establish a clear baseline for cost, quality, and performance.
Apply prompt, model, caching, and workflow optimizations to reduce AI spending
Build a practical AI cost-reduction plan without compromising business outcomes
Select cost-effective AI models based on task complexity and business requirements.
Monitor AI costs using meaningful metrics, budgets, and governance controls.
Requirements
No advanced AI, programming, or data science experience is required.
A basic understanding of generative AI tools and business workflows is helpful.
An interest in reducing AI costs while maintaining quality and performance.
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