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Hey friends. I'd like to share a project that's dear to me. fenic is a dataframe API with LLMs added as first-class citizens, a classic lazy dataframe API extended with new operators that are backed by LLMs. What this…
- The model is swappable the ontology compounds (typedef.ai)
- From Benchmarketing to Benchmaxxing (typedef.ai)
- Nvidia Spectrum-X MRC Is the Custom RDMA Transport Protocol for Gigascale AI (servethehome.com)
- A better way to search Hacker News using LLMs (github.com)
- Nanoimprint Lithography: Stop Saying It Will Replace EUV (newsletter.semianalysis.com)
- Turn fenic data sandboxes into versioned Hugging Face datasets (huggingface.co)
- The Learning Curve Moat in Data Systems (typedef.ai)
- Show HN: A "Codebase" as an MCP Server (github.com)
We built a reference MCP server that lets your editor/agent learn a codebase directly from source (signatures, types, AST, comments). Docs are optional. The reference impl runs on our open-source project’s codebase. Why…
- Meta's Synthetic-Data Kit for Llama Fine-Tuning (kostasp.net)
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I keep seeing synthetic data pipelines powering the latest LLM “breakthroughs”: • TinyZero’s $30 fine-tuning workflow • Sky-T1’s $450 reasoning-model build • Meta AI’s Llama 3 herd (2024 paper detailing their…
- Publisher: The Malloy Semantic Model Server (github.com)
- Key Takeaways from VeloxCon 2024 (cpard.xyz)
- rr: Lightweight Recording and Deterministic Debugging (rr-project.org)
- MLOps is 98% Data Engineering (cpard.xyz)
- The Siren Song of the Platform (cpard.xyz)