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Eufy PoE Bullet Security Camera E40 review: Professional grade
The Eufy PoE Bullet Security Camera E40, along with Eufy's Network Video Recorder S4, is a strong choice for homeowners and small business owners who want the enhanced security and reliability of hardwired cameras; plus, local AI and local storage that eliminates the need for a subscription. Add-on camera, 129.99 (requires Eufy Network Video Recorder S4, 399.99) The Eufy PoE Bullet Security Camera E40 is aimed at homeowners and small business owners who want the reliability of wired infrastructure, along with local storage of security camera recordings to eliminate the cost of a cloud subscription. It's built for people who take their security seriously and are willing to pull cables through their walls to get it. The camera must be paired with Eufy's PoE NVR, which you'll likewise need to hardwire to your home network.
- Information Technology > Artificial Intelligence (1.00)
- Information Technology > Communications > Networks (0.50)
Eufy S4 Max NVR review: Upscale home security, no subscription
The Eufy S4 Max NVR is a serious system for users who want smart features without giving up privacy or flexibility. Most home security systems force you to choose between smart features and local control. As its name indicates, this is a PoE (Power over Ethernet), NVR (Network Video Recorder) system with a built-in AI agent that runs on its own local hardware--there's no cloud storage and no subscription fees required to unlock key features. The bundle includes four of Eufy's PoE Cam S4 triple-lens cameras. Each of these has a fixed-position camera with a single wide-angle lens (122-degree field of view) that's fused to the dual-lens, pan/tilt/zoom camera beneath it.
Offline Regularised Reinforcement Learning for Large Language Models Alignment
Richemond, Pierre Harvey, Tang, Yunhao, Guo, Daniel, Calandriello, Daniele, Azar, Mohammad Gheshlaghi, Rafailov, Rafael, Pires, Bernardo Avila, Tarassov, Eugene, Spangher, Lucas, Ellsworth, Will, Severyn, Aliaksei, Mallinson, Jonathan, Shani, Lior, Shamir, Gil, Joshi, Rishabh, Liu, Tianqi, Munos, Remi, Piot, Bilal
The dominant framework for alignment of large language models (LLM), whether through reinforcement learning from human feedback or direct preference optimisation, is to learn from preference data. This involves building datasets where each element is a quadruplet composed of a prompt, two independent responses (completions of the prompt) and a human preference between the two independent responses, yielding a preferred and a dis-preferred response. Such data is typically scarce and expensive to collect. On the other hand, \emph{single-trajectory} datasets where each element is a triplet composed of a prompt, a response and a human feedback is naturally more abundant. The canonical element of such datasets is for instance an LLM's response to a user's prompt followed by a user's feedback such as a thumbs-up/down. Consequently, in this work, we propose DRO, or \emph{Direct Reward Optimisation}, as a framework and associated algorithms that do not require pairwise preferences. DRO uses a simple mean-squared objective that can be implemented in various ways. We validate our findings empirically, using T5 encoder-decoder language models, and show DRO's performance over selected baselines such as Kahneman-Tversky Optimization (KTO). Thus, we confirm that DRO is a simple and empirically compelling method for single-trajectory policy optimisation.
- Asia > India (0.04)
- North America > United States > Illinois > Cook County > Chicago (0.04)
- Europe > Italy (0.04)
- Information Technology > Artificial Intelligence > Natural Language > Large Language Model (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
The best smart shades: These luxurious window treatments blend high tech with high fashion
Motorized window treatments that can open and close on command, on a schedule, or even based on room occupancy are the ultimate finishing touch for any smart home. Like smart lighting, smart window treatments offer a host of benefits in terms of convenience, security, and energy conservation. There's a safety angle, too: There are no pull cords that pose a strangulation risk to children and pets. But the wow factor they deliver also renders them a luxury item--even deploying them one room at a time can cost thousands of dollars if each room has a lot of windows. Shades are a soft window covering, typically made of fabric.
- Information Technology > Smart Houses & Appliances (1.00)
- Energy (1.00)
Ring Stick Up Cam Wired (2018) review: Ring finally has an indoor security camera
Ring's second-generation home security camera--the Ring Stick Up Cam Wired--can be deployed indoors or out (the first-gen model was strictly an outdoor camera). The company already makes some of our favorite outdoor cameras, and it has a promising new alarm system on the market. This camera is just as good. In TechHive's tests, we found its image quality to be among the best available, and its motion-sensing abilities are equal to or better than many competitors. A well-designed mount allows it to be aligned vertically on almost any surface, and the thoughtful addition of power over ethernet (PoE) support means you can easily install it in places with bad Wi-Fi and/or that are far from an electrical outlet.