Luxand Inc.

Anthropic has recently unveiled Claude 3.7 Sonnet, a pioneering hybrid reasoning AI model that seamlessly integrates rapid responses with in-depth, step-by-step analysis. This advancement allows users to tailor the model's reasoning process to their specific needs, enhancing both speed and accuracy. A standout feature of Claude 3.7 Sonnet is its exceptional coding capabilities. The model excels in understanding context and creative problem-solving, achieving an industry-leading 70.3% accuracy on the SWE-bench Verified benchmark. This positions it as a valuable tool for developers and enterprises seeking advanced AI solutions. In addition to Claude 3.7 Sonnet, Anthropic has introduced Claude Code, an agentic coding tool designed to actively collaborate on tasks such as searching, editing, and testing code. This tool aims to streamline coding workflows, making it easier for developers to manage complex projects. This release signifies a significant step forward in AI development, highlighting Anthropic's commitment to creating versatile models capable of addressing a wide array of tasks effectively. The integration of hybrid reasoning within a single model simplifies the user experience and sets a new standard for AI versatility. Learn more here: https://lnkd.in/eq-zvb5s #ai #news #anthropic #claude

OpenAI has introduced its “biggest and best” chat model yet—GPT-4.5, codenamed Orion. It is currently available in “research preview” mode for ChatGPT Pro subscribers and developers via API. According to OpenAI, GPT-4.5 is a “highly complex and resource-intensive model,” making it more expensive than GPT-4o. As a result, the company has not yet decided whether it will continue offering API access to it in the future. The pricing for GPT-4.5 is $75 per million input tokens and $150 per million output tokens. For comparison, GPT-4o costs just $2.50 per million input tokens and $10 per million output tokens. Starting the week of March 3, 2025, OpenAI plans to expand access to GPT-4.5 for Plus and Team subscribers, followed by Enterprise and Edu users. Unlike reasoning models in the “o” series, such as o1, GPT-4.5 does not “pause to think” before responding. OpenAI believes that, in the future, these two approaches—pretrained models and reasoning models—will complement each other. GPT-4.5 offers enhanced writing capabilities and a deeper understanding of the world, making interactions feel more “natural,” according to The Verge, citing OpenAI. The model is particularly adept at recognizing patterns and identifying connections, making it “ideal for writing, programming, and solving practical tasks.” At launch, GPT-4.5 does not support voice mode, video, or screen sharing in ChatGPT. https://lnkd.in/e9bh9FHU #openai #ai #chatgpt #chagpt45 #chatgpt4o #news #technology

Building a face recognition project in Python involves several key steps to ensure that the system can accurately detect and recognize faces. In this blog post we'll describe some key steps for building a face recognition project in Python. https://lnkd.in/egEcMUfP #python #ai #facerecognition #developers #development

Two AI agents on a phone call realize they’re both AI and switch to a superior audio signal ggwave Gibberlink mode 🤖 #ai #news https://lnkd.in/dDNfvbDi

Face recognition cameras capture images of pigs as they approach their feeding stalls. The AI system swiftly identifies each animal and customizes their meals. More importantly, it monitors for signs of distress or illness, alerting farmers instantly to any issues. To learn more, take a look at our latest article! #luxand #facesdk #facerecognition

Exploring the facial recognition market can reveal fascinating insights into its growth and potential. This article on HackerNoon takes a closer look at market size, trends, and forecasts, offering valuable information for those working with facial recognition technology. Highly recommend reading for anyone interested in face recognition 👇 https://lnkd.in/ezQMuRjv.. #facerecognition #facialrecognition #API #apidevelopment #appdevelopment #development #developers #ai #aiapplications #cloudsolutions #facedetection #security #securitysolutions #securityservices #securityintegration #imagerecognition #biometrics #biometricsecurity #deepfake #frauddetection #fraudprevention #fraud #python #securityintegration #sdk #trends

Building a Face Recognition System? Avoid These Common Pitfalls! Face recognition technology is powerful—but only when done right. Simply integrating an API won’t guarantee accuracy, speed, or reliability. From selecting the best tools to optimizing performance at scale, there’s a lot to consider. In this blog post, we’ll break down the essential best practices for developing a high-performing face recognition system. Whether you’re starting from scratch or fine-tuning an existing project, these insights will help you avoid common mistakes and build a more efficient, reliable solution. Let’s dive in! https://lnkd.in/eRf35rD7 #facerecognition #facialrecognition #API #apidevelopment #appdevelopment #development #developers #ai #aiapplications #cloudsolutions #facedetection #security #securitysolutions #securityservices #securityintegration #imagerecognition #biometrics #biometricsecurity #deepfake #frauddetection #fraudprevention #fraud #python #securityintegration

🌟 Happy Lunar New Year 2025 from Luxand FaceSDK! 🌟 The Year of the Snake is here, slithering in with lots of new opportunities! 🐍 May your year be filled with smart moves, transformative moments, and abundant prosperity. #lunarnewyear2025 #luxandfacesdk #facesdk #luxand

What is DeepSeek, and what makes it stand out? Learn more about new AI technology here 👉 https://lnkd.in/e7EmhQnC #ArtificialIntelligence #Innovation #chatgpt #deepseek #ai

With the holidays coming up, we wish you and your loved ones lots of joy and warmth. Just like FaceSDK, which always catches a smile perfectly, we hope your holidays are filled with happiness and your new year is full of wonderful moments. Thanks for being part of the Luxand family! #facerecognition #xmas2024 #newyears2025 #luxand #facesdk