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Generative artificial intelligence (GAI) and large language models (LLM) are machine learning algorithms that operate in an unsupervised or semi-supervised manner. These algorithms leverage pre-existing content, such as text, photos, audio, video, and code, to generate novel content. The primary objective is to produce authentic and novel material. In addition, there exists an absence of constraints on the quantity of novel material that they are capable of generating. New material can be generated through the utilization of Application Programming Interfaces (APIs) or natural language interfaces, such as the ChatGPT developed by Open AI and Bard developed by Google. The field of generative ...
A practical guide to understanding, designing, and deploying MPLS and MPLS-enabled VPNs In-depth analysis of the Multiprotocol Label Switching (MPLS) architecture Detailed discussion of the mechanisms and features that constitute the architecture Learn how MPLS scales to support tens of thousands of VPNs Extensive case studies guide you through the design and deployment of real-world MPLS/VPN networks Configuration examples and guidelines assist in configuring MPLS on Cisco(R) devices Design and implementation options help you build various VPN topologies Multiprotocol Label Switching (MPLS) is an innovative technique for high-performance packet forwarding. There are many uses for this new t...
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications th...
Vols. for 1967-70 include as a section: Who's who of Rhodesia, Mauritius, Central and East Africa.
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