Why Bigger Context Windows Make AI Worse

What's AI by Louis-François Bouchard · Beginner ·🧠 Large Language Models ·6h ago
► Try out Search Atlas with a 7-day free trial here: https://searchatlas.com/?utm_source=louis_bouchard&utm_medium=influencer_youtube&utm_campaign=q1_inf_cam&utm_content=primary_link ► Our recent webinar on AI engineering: https://youtu.be/ljOwBCdiHmg ► Learn more in our courses and social media: https://links.louisbouchard.ai/ ► My Newsletter (My AI updates and news clearly explained): https://louisbouchard.substack.com/ Chapters: 0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise. 03:22 Why "More Tokens" Means Worse Results 04:52 "Lost in the Middle" Explained 05:36 The Cost & Complexity of Attention (N²) 07:34 1. Deterministic Trimming (Sliding Window) 08:18 2. Source-Level Filtering (Highest Impact) 09:21 3. Mechanical Compaction 10:06 4. Terminal Sequence Collapse 10:50 5. Semantic Summarization (Map Reduce vs. Stuffing) 12:10 6. Retrieval-Based Compaction & Contextual RAG 13:39 7. Knowledge Graphs & Graph RAG 14:40 8. Learned Prompt Compression (LLMLingua) 15:47 9. Multi-Tier Memory (MemGPT) 16:43 10. Agentic Context Engineering (ACE) 17:40 Bonus: Output Optimization Tricks 19:48 Best Practices: When (and When Not) to Compact 21:35 Multi-Agent & Model Routing Strategies 23:44 Actionable: Order of Operations for AI Engineers #aiengineering #contextengineering #compaction
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Chapters (18)

Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I
3:22 Why "More Tokens" Means Worse Results
4:52 "Lost in the Middle" Explained
5:36 The Cost & Complexity of Attention (N²)
7:34 1. Deterministic Trimming (Sliding Window)
8:18 2. Source-Level Filtering (Highest Impact)
9:21 3. Mechanical Compaction
10:06 4. Terminal Sequence Collapse
10:50 5. Semantic Summarization (Map Reduce vs. Stuffing)
12:10 6. Retrieval-Based Compaction & Contextual RAG
13:39 7. Knowledge Graphs & Graph RAG
14:40 8. Learned Prompt Compression (LLMLingua)
15:47 9. Multi-Tier Memory (MemGPT)
16:43 10. Agentic Context Engineering (ACE)
17:40 Bonus: Output Optimization Tricks
19:48 Best Practices: When (and When Not) to Compact
21:35 Multi-Agent & Model Routing Strategies
23:44 Actionable: Order of Operations for AI Engineers
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