Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models - WSJ
Exclusive | Caltech Researchers Claim Radical Compression of High-Fidelity AI Models WSJ
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Synthetic Population Testing for Recommendation Systems
Offline evaluation is necessary for recommender systems. It is also not a full test of recommender quality. The missing layer is not only better aggregate metrics, but better ways to test how a model behaves for different kinds of users before launch. TL;DR In the last post, I argued that offline evaluation is useful but incomplete for recommendation systems. After that, I built a small public artifact to make the gap concrete. In the canonical MovieLens comparison, the popularity baseline wins Recall@10 and NDCG@10 , but the candidate model does much better for Explorer and Niche-interest users and creates a very different behavioral profile. I do not think this means “offline evaluation is wrong.” I think it means a better pre-launch evaluation stack should include some form of synthetic
I Got Tired of Surprise OpenAI Bills, So I Built a Dashboard to Track Them
A few months ago, I got a bill from OpenAI that was about 3x what I was expecting. No idea why. Was it the new summarization feature we shipped? A single power user going nuts? A cron job gone wild? I had no clue. The default OpenAI dashboard just gives you a total, which is not super helpful for finding the source of a spike. This was the final straw. I was tired of flying blind. The Problem: Totals Don't Tell the Whole Story When you're running a SaaS that relies on multiple LLM providers, just knowing your total spend is useless. You need to know: Which provider is costing the most? Is gpt-4o suddenly more expensive than claude-3-sonnet for the same task? Which feature or user is responsible for that sudden spike? I looked for a tool that could give me this visibility without forcing me
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common/parser: fix call ID detection (Mistral parser mostly) + atomicity for tag-json parsers ( #21230 ) Fix call ID detection (Mistral parser mostly) + atomicity for tag-json parsers Rename Update common/chat-auto-parser-generator.cpp Co-authored-by: Sigbjørn Skjæret [email protected] Co-authored-by: Sigbjørn Skjæret [email protected] macOS/iOS: macOS Apple Silicon (arm64) macOS Intel (x64) iOS XCFramework Linux: Ubuntu x64 (CPU) Ubuntu arm64 (CPU) Ubuntu s390x (CPU) Ubuntu x64 (Vulkan) Ubuntu arm64 (Vulkan) Ubuntu x64 (ROCm 7.2) Ubuntu x64 (OpenVINO) Windows: Windows x64 (CPU) Windows arm64 (CPU) Windows x64 (CUDA 12) - CUDA 12.4 DLLs Windows x64 (CUDA 13) - CUDA 13.1 DLLs Windows x64 (Vulkan) Windows x64 (SYCL) Windows x64 (HIP) openEuler: openEuler x86 (310p) openEu
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