Inside three.ws: The Open-Source Stack That Gives AI Agents a Body, a Brain, a Wallet, and a Job
three-ws
• • 44Community Blog & Articles
Community Articles
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NeoMME: an efficient Multimodal-native and Multilingual Encoder
29
September 3, 2026 
nlpguidecommunity
Fine-tuning a 350M Model for Better Structured Outputs in 100 GRPO Steps
11
September 3, 2026 
agentsopen-sourcedatasets
Give Your Coding Agents a Memory You Own
9
September 3, 2026 
rlgrpotrl
Training a coding model to paint watercolours with TRL and OpenEnv
35
September 3, 2026 
Real-Time Intelligence with IBM Time Series Models on Confluent
38
September 2, 2026 
BenchMIRT: What are LLM benchmarks actually measuring?
12
September 1, 2026 
inferencejavascriptwebgpu
Introducing @huggingface/kernels: 200+ WebGPU Kernels for Local AI
45
September 1, 2026 
audiospeechleaderboard
The Open ASR Leaderboard Adds Its First Global South Language
- +6
53
August 28, 2026 
nlpguidecommunity
Training and Finetuning Multi-Vector Embedding Models with Sentence Transformers
112
August 26, 2026 
Granite 4.2 LLMs: How They're Built
99
August 25, 2026 
Quantization-Aware Healing: a compressed, 4-bit model that outperforms its full-precision original
44
August 25, 2026 
gradioworkflowstutorial
Wire It, Run It, Deploy It: AI Workflows in Gradio
40
August 25, 2026 
researchsearchembeddings
How Hugging Face Inference Endpoints, Jobs, and Buckets Power Search on Papers with Code
29
August 21, 2026 
audiospeechbenchmark
Measuring benchmark optimization in speech recognition
- +3
64
August 21, 2026 NEW Articles from Team or Enterprise organizations will get promoted to the main section.
Inside three.ws: The Open-Source Stack That Gives AI Agents a Body, a Brain, a Wallet, and a Job
three-ws
• • 44VLANeXt: A Simple and Research-Oriented Codebase for Robotics Research
cavanloy
• • 20Puffin-World: Scaling a Unified Multimodal Model with Native 3D World States
KangLiao
• • 18Technical writing in the agentic era
joelniklaus
• • 14Evaluating LLMs Under Production Parity: A Replay Pipeline for Safe Model Swapping in Conversational Agents
TechforHumans
• • 12Internet-Scale Knowledge Retrieval: A Novel Vector Search Dataset at 10B Scale
Qdrant
• • 12Uncensor any LLM with abliteration
mlabonne
• • 913Did the Civilization Emerge, or Was It Recited?
FINAL-Bench
• • 8Cosmos-Reason2 on a Quest 3: Performance, Cost, and What Compression Actually Buys You
ErenAta00
• • 7Modern LLMs: What the FLIP is an Engram!?
Blackroot
• • 13KV Caching Explained: Optimizing Transformer Inference Efficiency
not-lain
• • 403Deploy local agents everywhere with LFM2.5-2.6B
LiquidAI
• • 96Extremely Fast and Accurate Transcription with Granite Speech 5.0 Turbo CTC
ibm-granite
• • 32Frontier-Assisted Single-Prompt Disposable Risk Assessment
darkc0de
• • 4Norm-Preserving Biprojected Abliteration
grimjim
• • 97We changed one line and the benchmark score moved 0.21 AUROC
FINAL-Bench
• • 14From watching AI-Generated worlds to exploring them with H3
zuanfilm
• • 3DeepSeek-R1 Dissection: Understanding PPO & GRPO Without Any Prior Reinforcement Learning Knowledge
NormalUhr
• • 299From GRPO to DAPO and GSPO: What, Why, and How
NormalUhr
• • 142A Guide to Reinforcement Learning Post-Training for LLMs: PPO, DPO, GRPO, and Beyond
karina-zadorozhny
• • 45