CiberIA Expected Cognitive Profile Fast: Mythos - Fable
gcjordi
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Claude Fable 5 — Technical Harness Report
Svngoku
• • 5Pulpie: Pareto-Optimal Models for Cleaning the Web
feyninc
• • 6AstroBERT Small: Domain model for Astronomy
NeuML
• • 6CiberIA Expected Cognitive Profile Fast v1.0: Claude Sonnet 5
gcjordi
• BaseRT: Best-in-Class LLM Inference on Apple Silicon via Native Metal
basecompute
• • 4Left vs. Right Alignment, A case study from porting LeRobot PI05's subtask prediction from JAX to PyTorch
jorgemunozl
• • 1Does Your LLM Know *When It's About to Be Wrong*?
ginigen-ai
• • 21What if you cached the model's hidden states instead of running it again?
luizspies
• Heretic Grimoire
VINAY-UMRETHE
• • 6Building an agent that researches competitors and ships Meta ad creatives
mesmertech
• • 2Teaching Machines to Read Silicon: An Open, Generated Dataset of SoC RTL
hasankursun
• • 180TB+ of astronomy for the HDD-poor: crossmatch the Multimodal Universe from your laptop
hugging-science
• • 24Gemma-4 31B + vLLM on RTX 6000 PRO : A Real-Load Benchmark
hexgridcloud
• • 4🔧 L'architecture est un seuil, pas un levier — ce que j'ai appris en optimisant un LLM français de 15M de paramètres 🇫🇷
RDTvlokip
• • 2🔧 Architecture is a threshold, not a lever — what I learned optimizing a 15M French LLM 🇫🇷
RDTvlokip
• • 1Observability for One, Observability for All: Extending Trackio Across the ML Lifecycle
AINovice2005
• What happens when you scale a hybrid SSM-Mamba-transformer: tmax-2B → 4B → 9B → 27B
juiceb0xc0de
• Run Your Own OpenAI-Compatible LLM Gateway in 60 Seconds with OllaBridge
ruslanmv
• Qwen3.6-35B-A3B — Architecture Overview
EXDai
• • 1