Manticore achieves 14× faster vector embeddings with ONNX Runtime backend rebuild
When we shipped Auto Embeddings — the feature that turns any text column into a vector automatically, with no separate model service to run — the most common piece of feedback was about speed.
Read the full articleYou might also wanna read
PromptEmbedder: A Dual-LLM Framework for Efficient, Architecture-Agnostic Text Embedding
Large Language Models (LLMs) have demonstrated remarkable efficacy in text embedding, yet current adaptation methods like LoRA face signific
arxiv.org·1mo ago
Bonsai-27B: A 27B-Parameter Binary Transformer Model for Efficient Local AI Inference
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices
arXiv:2607.08786v1 Announce Type: new Abstract: With the growing deployment of large language models (LLMs), LLM inference cost has become a
Bun v1.1.23
Support for `TextEncoderStream` and `TextDecoderStream`, 50% faster `console.log(string)`, support for `Float16Array`, Node.jsBun IPC on Win
Bun v1.0.15
Fixes 23 bugs (addressing 117 👍 reactions), `tsc` starts 2x faster, prettier 40% faster. Stable `WebSocket` client, syntax-highlighted erro
Are LLM-Generated GPU Kernels Production-Ready? A Trace-Driven Benchmark and Optimization Agent
arXiv:2607.14541v1 Announce Type: new Abstract: Existing GPU kernel generation benchmarks draw problems from synthetic or curated sources th
Comments
Sign in to join the conversation.
No comments yet. Be the first.