Machine Learning

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Integrate on-device AI models into your app using Core AI - WWDC26 - Videos

 🤖Qwen

apple/coreai-models: Model export recipes, Python primitives, and Swift runtime utilities for on-device AI

 🧠LLM Inference  Content type: Code
github.com··Hacker News

Ideogram 4.0

 LLM Quantization
ideogram.ai··Hacker News

princezuda/-RequiemGPT-: Fully open source and open weights built and trained by fable five with one prompt. An experience in how AI actually works

 🧠LLM Inference  Content type: Code
github.com··Hacker News
Less-relevant results

An announcement from the Steering Council regarding the JIT project

 Tokio

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

 🧠LLM Inference  Content type: Code
github.com··Hacker News

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

 🤖Qwen  Content type: Code
github.com··Hacker News

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

 🧠LLM Inference  Content type: Code
github.com··r/LocalLLaMA

iblameandrew/open-deepthink: Grok-heavy at the price of API cost. You choose the model. An unlimited army to think about your problem.

 🧠LLM Inference  Content type: Code
github.com··r/LocalLLaMA

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

 🧠LLM Inference  Content type: Code
github.com··Hacker News

Show HN: One-Shot Program Generation Through Direct Memory Diffusion

 LLM Quantization  Content type: Code
github.com··Hacker News

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

 🧠LLM Inference  Content type: Code
github.com··Hacker News

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