When to use model distillation in production
inference.net·1d·
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🔄AI Pipeline design and techniques
SETOL: A Semi-Empirical Theory of (Deep) Learning
arxiv.org·1d·
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🦀Rust language vector embeddings
How to draw lambda diagrams (2020)
risingentropy.com·1d·
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🦀Rust language vector embeddings
Zignal: A zero-dependency image processing library
github.com·1d·
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🔥Svelte
Lobsters Interview with Technomancy
lobste.rs·19h·
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🤖Coding Automation
We discovered an approach to train any AI agent with RL, with (almost) zero code changes.
reddit.com·10h·
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🔄AI Pipeline design and techniques
Getting started with LLVM development on Windows via WSL2
trolololo.xyz·1h·
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🧩WASI
Building Multi-Agent Solutions with Semantic Kernel and A2A Protocol
devblogs.microsoft.com·3d·
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🔄AI Pipeline design and techniques
Perfecting anti-aliasing on signed distance functions
blog.pkh.me·2h·
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🔥Svelte
Kimi K2 vs Sonnet 4 for Agentic Coding (Tested on Claude Code)
composio.dev·3d·
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🟨JavaScript engines
You Might Not Need LangChain for Your Next AI App
shuvrojit.substack.com·5d·
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🔥Svelte
Kernel
web.cs.wpi.edu·2d·
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🔥Svelte
Object deserialization attacks using Ruby's Oj JSON parser
hezmatt.org·16h·
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🦀Rust language vector embeddings
InstructVLA: Vision-Language-Action Instruction Tuning
yangs03.github.io·1d·
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🔄AI Pipeline design and techniques
On "local" and "global" errors in mathematical papers, and how to detect them
terrytao.wordpress.com·20h·
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🦀Rust language vector embeddings
[Release] Arkhon Memory SDK – Local, lightweight long-term memory for LLM agents (pip install arkhon-memory)
reddit.com·1d·
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⚙️Finetuning LLMs faster with less memory
From Prompt Engineering to Context Engineering
adaline.ai·1d·
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🔄AI Pipeline design and techniques
Why Gleam Deserves a Spot in Your 2025 Toolkit: Beyond the Syntax
lozdev.com·1d·
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🔥Svelte
HOWTO: Use Qwen3-Coder (or any other LLM) with Claude Code (via LiteLLM)
i.redd.it·3d·
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🤖Coding Automation
How to create an ACID compliant toy db in Rust
deebkit.com·54m·
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🪟Tauri