NEW Articles from Team or Enterprise organizations will get promoted to the main section. How to Run a Hugging Face Model in JAX (Part 4) - Diffusers
Breaking the Python Bottleneck: How Rust/C++ Porting Can Accelerate AI Infrastructure and Enable Sovereign AI Strategies
📖 From Scratch vs Pre-trained: A Dataset Size Analysis for Small-Scale Language Model Training
RDTvlokip
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How to Choose the Best Open Source LLM for Your Project in 2025
dvilasuero
• • 78
Announcing the Antibody Developability Prediction competition
ginkgo-datapoints
• • 4
Guided Decoding and Its Critical Role in Retrieval-Augmented Generation: A Deep Dive into Structured LLM Outputs
nmmursit
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We still have data.
KaraKaraWitch
• The Looming Specter of Digital Slavery: An Examination of Sentient AI Rights
WondersWorld
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Breaking Language Barriers in Mathematical AI: Introducing Hebrew Math Tutor
Framepack as an image edit/instruct model - a small study
SUPIR is Still Unchallanged Image Upscaler — Supports GPUs starting from RTX 1000 series to RTX 5000 series including Cloud GPUs like H100, A100, B200, L40S, RTX 6000 Pro and such
MonsterMMORPG
• • 1
GenTube: Make Stunning AI Art in 2 seconds - New Free Image Generation Platform Review & Tutorial
MonsterMMORPG
• Deploy NVIDIA Riva ASR on Kubernetes GPU Cluster in Just 5 Minutes
RakshitAralimatti
• • 1
这是一级标题
Theoretical Limitations of Embedding Models and Their Applications in Turkish: An In-Depth Look
nmmursit
• • 15
Hands-On with NatureLM-audio: A No-Code Demo
EarthSpeciesProject
• • 14
Qwen Image LoRA trainings Stage 1 results and pre-made configs published - As low as training with 6 GB GPUs - Stage 2 research will hopefully improve quality even more - Images generated with 8-steps lightning LoRA + SECourses Musubi Tuner trained LoRA in 8 steps + 2x Latent Upscale
MonsterMMORPG
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Exploring Environments Hub: Your Language Model needs better (open) environments to learn
anakin87
• • 32
Beyond Keywords: A Practical Guide to Hybrid Search with Qdrant and a RoBERTa-based Query Router
timofeyk
• • 3
What’s missing for AGI in today’s tech trajectories — and what we should work on next
KnutJaegersberg
• • 3