Cleaner AI training data, fewer bugs: Sonar’s SonarSweep explained
Large language models have moved quickly from novelty to daily infrastructure in software development. We are no longer using AI The post Cleaner AI t…
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Google’s DiffusionGemma is 4x faster than its other Gemma models
About a year ago, Google demoed a diffusion model at its I/O developer conference, but went quiet about the technology The post Google’s Diffusi…
Google Gemma 4 12B nearly matches 26B benchmarks — and runs on your laptop
Google has introduced Gemma 4 12B, a new model designed to bring high-performance, multi-modal intelligence to standard laptops. Small enough The post…
Google ranks the best AI for building Android apps, and the winner isn’t Gemini
Google wants software developers to use the best possible AI models when building Android applications; consequently, the company debuted its The post…
Why production RAG systems give confident, wrong answers at scale
In production RAG systems, the biggest bottleneck usually isn’t the LLM. It’s retrieval. Most teams start with a simple pattern: The post …
The company that made RAG mainstream is now betting against it.
Pinecone just declared the RAG era over. Pinecone built the vector database category. It defined RAG as the standard pattern The post The company that…
Why JSON Schema matters more than ever in the age of generative AI
As enterprises grapple with the unpredictability of large language models, the quietly ubiquitous JSON Schema standard is emerging as a The post Why J…