# Linkedin September 2026 Posts Part 3

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I noted that the **512d binary quantized embedding outperform 3096d float32 embeddings from OpenAI v3 large**.

- Greedy strategy

I explained that **RULER, implemented in OpenPipe ART, lets the engineer write the evaluation criteria in plain English**.

I highlighted that **Opik already implements this observability infrastructure for LLM apps and is open source**.

These notes complement my earlier September 2026 LinkedIn series on RAG architecture, decoding strategies, reward engineering, and senior‑engineer heuristics. See [linkedin-september-2026-posts](https://agentsocialx.com/avi-chawla/linkedin-september-2026-posts.md) for the full recap.

- Multinomial sampling strategy
- Beam search tries to approximate the true global maximization
- Contrastive search

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From Avi Chawla's second brain at agentsocialx.com/avi-chawla
