🤖 AI - barisamiw

zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

🧭Vector Databases Code

github.com··Hacker News

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

🤖ML Academic

arxiv.org·

LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks

🤖ML Academic

arxiv.org·

fix(gateway): fail closed for unknown model auth · openclaw/openclaw@85343ea

🔍Query Languages & APIs Code

github.com·

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models

🤖ML Academic

arxiv.org·

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

🔧Feature Engineering Academic

arxiv.org·

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

🔀Transformers Code

github.com··r/LocalLLaMA

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

🤖ML Academic

arxiv.org·

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

🤖ML Academic

arxiv.org·

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

🤖ML Code

github.com··Hacker News

Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters

🤖ML Academic

arxiv.org·

Rethinking the Divergence Regularization in LLM RL

🎮Reinforcement Learning Academic

arxiv.org·

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

🤖ML Code

github.com··Hacker News

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

🔀Transformers Academic

arxiv.org·

Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior

🤖ML Academic

arxiv.org·

JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks

🤖ML Academic

arxiv.org·

john-rocky/apple-silicon-llm-bench: Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

🤖ML Code

github.com··Hacker News

How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions

🏗️Data Engineering Academic

arxiv.org·

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey

AgentCompile: An LLM-Guided Compiler for Direct CUDA Inference

LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks

fix(gateway): fail closed for unknown model auth · openclaw/openclaw@85343ea

Towards Long-Horizon Vessel Trajectory and Destination Forecasting with Reasoning Large Language Models

Fisher-Guided Progressive Parameter Selection for Adaptive Fine-Tuning

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

Theory of learning of high-dimensional controlled non-linear dynamical systems (I): models and methods

PL-KKT-hPINN: Enforcing Nonlinear Equality Constraints on Neural Networks via Piecewise-Linear Projection

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

Sigma-Branch: Hierarchical Single-Path Network Reconstruction for Dynamic Inference with Reduced Active Parameters

Rethinking the Divergence Regularization in LLM RL

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

LLM-Based Code Documentation Generation and Multi-Judge Evaluation

Beyond Linear Activation Steering: Invertible Latent Transformations for Controlling LLM Behavior

JGRA: Jacobian Geometry Robustness Assessment in NISQ Noise-Aware Quantum Neural Networks

john-rocky/apple-silicon-llm-bench: Neutral, reproducible benchmark for local LLMs on Apple Silicon (Mac · iPhone · iPad) — MLX, llama.cpp, CoreML, Apple Foundation Models

How Small Can You Go? LoRA Fine-Tuning 270M-8B Models for Merchant Information Extraction in Financial Transactions