Cross-Machine Memory Query: About 20 Milliseconds, Most Days
I wrote about hardware benchmarks twice this week. Different problem this time. Same machines. I have a Mac for daily work, a Linux box that runs a fe…
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An AMD GPU Beat My Mac on Llama 8B. The Same GPU Lost on Phi-3.
I wrote a post yesterday about why GPUs barely help small text embeddings at batch=1. Different workload, same machines. This time I ran a local LLM i…
Your GPU Probably Isn't Helping Your Retrieval System
Most "just use a GPU" advice is wrong for how anyone actually runs small models. I spent yesterday benchmarking a 33M parameter embedding model across…
pypdf vs PdfPig: Text Extraction at Scale
Overview PDF text extraction is a common pre-processing step in data pipelines — ingesting research papers, legal documents, or reports before embeddi…
SurrealDB 3.x by the numbers
Author: Tobie Morgan Hitchcock One engine, multi-workloads, full durability. You can explore the full results, methodology, and per-database breakdown…
When Generic Benchmarks Fail: Building a Sales-Domain Evaluation Bench from Scratch
By Natnael Alemseged The gap that τ²-Bench retail cannot measure Tenacious is a B2B sales automation company. Its agent produces outreach emails for c…