» Tag
machinelearning
75 postsModel Genome: Fingerprinting Whether an LLM Was Trained from Scratch or Derived
Model Genome offers a method to determine if LLMs were trained from scratch or derived.
Bursty Arrivals Accelerate LLM Inference Times
Bursty workloads have been found to unexpectedly speed up LLM inference.
EU AI Act OpenRAG: 933 Legally Structured Chunks and BGE-M3 Embeddings
Explore the EU AI Act OpenRAG, featuring 933 structured chunks and BGE-M3 embeddings for legal-NLP experiments.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comLlamafile vs vLLM: Two Ways to Serve a Local Model
Explore the differences between Llamafile and vLLM for serving local models and their respective advantages.
Grok 4.5: A $60 Billion Dataset Revolutionizing Engineering
Grok 4.5 offers innovations in engineering with a $60 billion dataset, creating significant changes in the AI industry.
China challenges US model makers with open model push amid AI race
Alibaba's Qwen 3.8-Max challenges US tech dominance with competitive pricing and performance. The AI race heats up as China enters the open model arena.
I Have Trained a Model to Predict My Blood Sugar
Learn about a transformer model designed to predict blood glucose levels.
AI in SRE: A Practical Autonomy Model for Self-Healing Infrastructure
An exploration of AI's role in SRE and the importance of self-healing infrastructure.
SkewAdam: A New Optimizer Reducing MoE State Memory by 97%
SkewAdam reduces MoE state memory by 97%, allowing a 6.7B model to fit on a 40GB GPU.
I Trained a 30M-Parameter LLM from Scratch: The Scaling "Floor" Was a Mirage
A 30M parameter language model was trained from scratch, aiming to deepen understanding of transformers.