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🤖LLMs Code

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mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

🤖Machine Learning Code

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Why TPUs Aren't Popular (Even Though They're Cheaper Per Token)

🧠Deep Learning Blog

dev.to··DEV

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

🤖Machine Learning Code

github.com··Hacker News

From Forgotten Repo to Production: Rebuilding AdeptAI for the GitHub Finish-Up-A-Thon

💛JavaScript Blog

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StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

🧠Deep Learning Academic

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Data Engineer vs. Data Scientist: What's the Difference? (2026 Guide for Beginners)

⚙️Data Engineering Blog

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Wave-Level GPU Introspection Was Already in Production (Server Side)

🚀Performance Engineering Blog

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jdalang/jda-lang: Jda: A high-performance systems language bootstrapped from assembly. Beats C on sudoku & LZ77. Self-hosted compiler, no GC, built-in concurrency & ML.

⚙️Compilers Code

github.com··DEV

I kept using Claude Code. Added one thing to it. Cut AI engineering costs by 62%.

🤖LLMs Blog

dev.to··DEV

🛡️ How I Built a NSFWJS Alternative That's 2.5 Lighter (~1 MB Gzipped) and Runs in ~65 ms (WASM)

⚡WebAssembly Blog

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heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

🤖LLMs Code

github.com··r/LocalLLaMA

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

🤖LLMs Code

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Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

🤖LLMs Code

github.com··Hacker News

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Tejas-TA/predikit: The missing bridge between your ML models and your AI agents.

CodegenBench: Can LLMs Write Efficient Code Across Architectures?

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

mingusb/transformer-golf: The Fully Unrolled Transformer: An experimental repository for architecture simplification and compilation. [2026]

Why TPUs Aren't Popular (Even Though They're Cheaper Per Token)

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

From Forgotten Repo to Production: Rebuilding AdeptAI for the GitHub Finish-Up-A-Thon

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

Data Engineer vs. Data Scientist: What's the Difference? (2026 Guide for Beginners)

Wave-Level GPU Introspection Was Already in Production (Server Side)

jdalang/jda-lang: Jda: A high-performance systems language bootstrapped from assembly. Beats C on sudoku & LZ77. Self-hosted compiler, no GC, built-in concurrency & ML.

I kept using Claude Code. Added one thing to it. Cut AI engineering costs by 62%.

🛡️ How I Built a NSFWJS Alternative That's 2.5 Lighter (~1 MB Gzipped) and Runs in ~65 ms (WASM)

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script