andrew blinn@disconcision
open on x ↗you know what? fuck you *rebicameralizes your mind*
related
@bbssppllvvTechniques I'd master if building RAG systems that actually work:
Bookmark this.
1. Sliding Window Chunking
2. Semantic Chunking
3. Document Hierarchies
4. Metadata Enrichment
5. Query Expansion
6. Hybrid Search
7. Reranking Models
8. Context Window Packing
9. Lost in the Middle Problem
10. Hypothetical Document Embeddings (HyDE)
11. Multi-Query Retrieval
12. Contextual Compression
13. Sentence Window Retrieval
14. Auto-Merging Retrieval
15. Cross-Encoder Rescoring
16. Temporal Context Decay
17. Negative Sampling
18. MMR (Maximal Marginal Relevance)
19. Graph-Based Retrieval
20. Recursive Retrieval
21. Citation Trackingchunks
22. Context Ablation Testing
23. Adaptive Retrieval@athleticKoder
▶@arlanoska
@LiorOnAIhttp://x.com/i/article/2030848902140944384@_heyrico
▶@a2can3what if i told you there is a full vid of this clip@sofkangelicBest Model Per Use-Case
Presentations - Gemini 2.5
Full-stack apps - GPT-5 Codex, Sonnet 4.5
Docs - Gemini 2.5, GPT-5 thinking
Videos - Sora 2
Images - Nano Banana
Coding - Sonnet 4.5, Grok Code Fast
Browser use - Sonnet 4.5
Doc Processing - Gemini Flash
Enterprise Search - Sonnet 4.5
Data analysis (complex) - Opus 4.1
Agentic workflows - Sonnet 4.5, Haiku 4.5@bindureddyIntroducing Vibe SDK@rauchgdesign engineering is not animations
https://micro.bossadizenith.me/writing/animations@bossadizenith
