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Introducing Gentrace: Powerful AI Model Evaluation and Monitoring 🔎 AI and Heuristic Evaluations: Automatically assess model quality with a blend of AI and heuristics. 🔍 Regression and Hallucination Detection: Identify and address regressions and hallucinations in AI models. 📊 Real-Time Production Monitoring (Observe): Gain insights into performance, speed, and cost in real-time. 📈 Visual Pipeline Representation: Get a comprehensive view of AI model performance through visual pipeline runs. 🔌 Python SDK Integration: Seamlessly integrate Gentrace into your existing workflows with the provided Python SDK. 🔒 Enterprise-Grade Security: Rely on SOC 2 TYPE 1 controls and audits for maximum data security. 🔐 Access Management: Organize your team and manage access privileges with admin and user controls. Experience the Future of AI Model Evaluation with Gentrace: Gentrace is your trusted companion for evaluating generative AI models. With its unique blend of AI, human evaluators, and heuristic assessments, Gentrace focuses on assessing production quality, speed, and cost. Using AI and heuristics, Gentrace automates the evaluation process, eliminating the need for manual assessment. It detects regressions and hallucinations automatically, ensuring that your AI models perform at their best. Real-time production monitoring with the Observe feature gives you immediate insights into your AI model's performance. Visual pipeline representations provide a comprehensive view of its performance over time. Integration with your existing workflows is made easy with Gentrace's Python SDK. This ensures a seamless experience when incorporating Gentrace into your workflow. Security is a top priority. Gentrace follows SOC 2 TYPE 1 controls and undergoes audits to ensure the highest level of data security. Gentrace empowers teams to continuously evaluate and improve AI models. Whether you need to enhance production quality or monitor performance in real-time, Gentrace is the all-in-one solution for AI evaluation and monitoring. Discover the power of Gentrace and experience the future of AI model evaluation today.

Introducing Amazon Forecast, the fully managed time-series forecasting service that leverages the powerful machine learning technology used at Amazon.com. Designed for business metrics analysis, Amazon Forecast is revolutionizing the way forecasting is done. ✨ Features: - 🌟Forecasting millions of items: Scale your operations to new heights by utilizing the same technology used at Amazon.com to forecast millions of items. - 🌟Optimize inventory: Reduce waste and maximize capital utilization with highly accurate forecasts at a granular level. - 🌟Long-term decisions: Make strategic decisions with greater confidence, backed by reliable forecasting data. - 🌟Increase customer satisfaction: Ensure optimal staffing levels to meet fluctuating customer demands and enhance customer satisfaction. 🔑 Use Cases: - Retail and inventory forecasting: Minimize waste, improve inventory turns, and enhance product availability by forecasting demand at specific probability levels. - Workforce planning: Optimize workforce staffing by forecasting in 15-minute increments, adapting to both high and low demand periods. - Travel demand forecasting: Efficiently manage operating costs by accurately forecasting foot traffic, visitor counts, and channel demand. Experience the power of Amazon Forecast in revolutionizing your business forecasting.

Introducing Microsoft Cognitive Toolkit (CNTK) 🚀 Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit designed for commercial-grade distributed deep learning. While no longer actively developed, CNTK 2.7 marks its final major release. Here are some key features: 📈 Describes neural networks as a series of computational steps via a directed graph. 🔀 Easily realize and combine popular model types like feed-forward DNNs, CNNs, and RNNs/LSTMs. ⚙️ Implements SGD learning with automatic differentiation and parallelization across multiple GPUs and servers. 🔧 Can be included as a library in Python, C#, or C++ programs, or used as a standalone machine-learning tool through its model description language, BrainScript. 💻 Supports 64-bit Linux or 64-bit Windows operating systems. 🔄 One of the first deep-learning toolkits to support the ONNX format for framework interoperability and shared optimization. Use Cases 📚 CNTK is incredibly versatile and can be used in various ways: 🔭 As a library in Python, C#, or C++ programs. 💡 As a standalone machine-learning tool through BrainScript. ☕ Also accessible from Java programs for CNTK model evaluation. Pricing and Compatibility 💰💻 Great news! The 1-bit Stochastic Gradient Descent (1-bit SGD) in CNTK is available without any separate license requirement. It's conveniently provided under the license on GitHub. CNTK supports both 64-bit Linux and 64-bit Windows operating systems. You can easily install it by choosing pre-compiled binary packages or compile the toolkit from the source available on GitHub. ONNX Support 🌐 Looking for framework interoperability? CNTK has you covered. It's one of the first deep-learning toolkits to support the ONNX format, with the latest release supporting ONNX v1.0. Explore the power of Microsoft Cognitive Toolkit (CNTK) and unlock the potential of deep learning.