Nvidias RTX Spark is big news, but its not for everyone
Browse
AI News
644 items — filtered, classified, deduplicated
My Homelab AI Dev Platform
Build context-rich research agents with Deep Agents and Bedrock AgentCore
MASLab: A Unified and Comprehensive Codebase for LLM-based Multi-Agent Systems
A Benchmark and Framework for Evaluating Next Action Predictions in Spreadsheets
STREAM: Multi-Tier LLM Inference Middleware with Dual-Channel HPC Token Streaming
AI Coding at Home Without Going Broke
CODA-BENCH: Can Code Agents Handle Data-Intensive Tasks?
olmo-eval: An evaluation workbench for the model development loop
Extract Data with On-demand and Batch Pipelines Dynamically
Evaluate AI agents systematically with Agent-EvalKit
Show HN: Fata – Spaced repetition to fight skill rot from AI coding
Layer-Isolated Evaluation: Gating the Deterministic Scaffold of a Production LLM Agent wi…
Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP
Stop hand-tuning kernels: How Neuron Agentic Development accelerates AWS Trainium optimiz…
Apache Burr: Build reliable AI agents and applications
torch-sla: Differentiable Sparse Linear Algebra with Adjoint Solvers and Sparse Tensor Pa…
TinyTroupe: An LLM-powered Multiagent Persona Simulation Toolkit
Piper: A Programmable Distributed Training System
Towards Autonomous Accelerator Design: FPGA Accelerator Generation with SECDA
Scale Robot Reinforcement Learning with NVIDIA Isaac Lab on Amazon SageMaker AI
Hands-free first notice of loss: Using Strands Agents and Amazon Bedrock AgentCore Browse…
Build an agentic incident triage assistant with Amazon Quick and New Relic
Build a Basic AI Agent from Scratch: Long Task Planning
How engineers at Nextdoor use Codex to build without limits
How an Agent Built a 3D Paris Gallery by Chaining Two Hugging Face Spaces
Context Rot in AI-Assisted Software Development: Repurposing Documentation Consistency fo…
vla.cpp: A Unified Inference Runtime for Vision-Language-Action Models
Migrating Your GitHub CI to Hugging Face Jobs
Apple Core AI Framework