Most IoT tutorials stop at collection and dashboards. We’re going deeper into the world of local, offline, and sub-millisecond pattern retrieval. If you’ve ever built a sensor pipeline before, you know how it usually ends. Data flows in, you set some thresholds, draw a pretty chart, and call it a day. And honestly? That’s fine. Until it isn’t. Thresholds catch obvious failures. Dashboards show you history. But neither of them answers the question that actually matters in production: “Have […]

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Detoxification of large language models via regularized fine-tuning Attribute-controlled fine-tuning can produce LLMs that adhere to policy while achieving competitive performance on general benchmarks. Conversational AI Charith Peris November 21, 03:40 PM November 21, 03:40 PM Large language models (LLMs) have demonstrated impressive performance across a variety of tasks, but, as has been clear in multiple instances, they carry the risk of producing inappropriate, unsafe, or biased outputs. When generating responses, a successfully trained LLM should comply with […]

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There’s a jargon-filled headline for you! Everyone’s building sandboxes for running untrusted code right now, and Pydantic’s latest attempt, Monty, provides a custom Python-like language (a subset of Python) in Rust and makes it available as both a Rust library and a Python package. I got it working in WebAssembly, providing a sandbox-in-a-sandbox. Here’s how they describe Monty: Monty avoids the cost, latency, complexity and general faff of using full container based sandbox for running LLM generated code. […]

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Introduction Fine-tuning large language models (LLMs) is no longer optional — it is the standard way to adapt foundation models to domains such as healthcare, finance, legal text, customer support, or internal enterprise data. However, naive fine-tuning often leads to catastrophic forgetting, where the model learns the new task but degrades on previously learned capabilities. This article provides a practical, engineering-focused guide to: Fine-tuning strategies Preventing catastrophic forgetting Where and how to apply LoRA / QLoRA Layer-by-layer tuning strategies for GPT-style and […]

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MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to test whenever a model is deployed in a new setting. “We demonstrate that even when you train models on large amounts of data, and choose the best average model, in a new setting this ‘best model’ could be the worst model for 6-75 percent of the new data,” […]

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Six years after Sony announced its automotive ambitions, everything is looking a lot more concrete. Production of the Afeela 1, the electric sedan developed by Sony Honda Mobility, is already underway in Ohio. Deliveries will begin later this year in California, expanding to Arizona and Japan in 2027. And last night, on the eve of this year’s Consumer Electronics Show, it even showed off a crossover version. “The way we are fusing diverse technologies to deliver a completely […]

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