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1. code-b.dev › blog › gen-ai-architectureGenerative AI Design Patterns & Architecture: Best Practices

   code-b.dev › blog › gen-ai-architecture

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   Oct 22, 2024 · Understanding Generative AI Architecture Core Components. The architecture of a generative AI system comprises several sophisticated layers working in harmony to deliver intelligent functionality: Model Layer. Foundation Models. Large Language Models (LLMs) like GPT-4, Claude, or PaLM; Pre-trained models that provide base capabilities

2. Videos

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     What are Generative AI models?

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     Generative AI Models Explained

     12 Oct 2022

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     Introduction to Generative AI

     8 May 2023

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3. medium.com › @maximilian › 5000x-generative-aiThe Generative AI List of Lists: 5000 Models, Tools ... - Medium

   medium.com › @maximilian › 5000x-generative-ai

   Jan 16, 2024 · 200+: Foundation models, pre-training, fine-tuning & prompting. Generative AI is based on a foundation models. Foundation models are huge models (billions of parameters), pre-trained on giant...

   • Author: Maximilian Vogel

4. Top stories

   • PC Magazine

     How to Make AI Work for You, and Why It Won't Replace Software Engineering

     Not surprisingly, AI was a major theme at Gartner's annual Symposium/IT Expo in Orlando last week, with the keynote explaining why companies should focus ...

     2 days ago

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     Forbes

     Dell Technologies BrandVoice: Steer Your AI Strategy Straight Amid The Jagged Frontier

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     Insider Monkey via Yahoo

     Informatica (NYSE:INFA) Enhances Enterprise AI with GenAI Blueprints, Supporting Seamless Integration Across Leading Cloud Platforms

     5 days ago

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5. www.gartner.com › en › topicsGenerative AI: What Is It, Tools, Models, Applications and ...

   www.gartner.com › en › topics

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   • Revenue Opportunities
   • Cost and Productivity Opportunities
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   Product development:Generative AI will enable enterprises to create new products more quickly. These may include new drugs, less toxic household cleaners, novel flavors and fragrances, new alloys, and faster and better diagnoses. New revenue channels:Gartner research shows that enterprises with greater levels of AI maturity will gain greater benefi...

   See full list on gartner.com

   Worker augmentation:Generative AI can augment workers’ ability to draft and edit text, images and other media. It can also summarize, simplify and classify content; generate, translate and verify software code; and improve chatbot performance. At this stage, the technology is highly proficient at creating a wide range of artifacts quickly and at sc...

   See full list on gartner.com

   Risk mitigation:Generative AI’s ability to analyze and provide broader and deeper visibility of data, such as customer transactions and potentially faulty software code, enhances pattern recognition and the ability to identify potential risks to the enterprise more quickly. Sustainability: Generative AI may help enterprises comply with sustainabili...

   See full list on gartner.com

6. www.snowflake.com › generative-ai-architectureGenerative AI Architecture: Layers and Models - Snowflake

   www.snowflake.com › generative-ai-architecture

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   The data architecture that spans foundational to generative AI (gen AI) as well as large language models (LLMs) is highly sophisticated. Generative AI architecture refers to the underlying model design and components that enable complex models.

7. www.simplilearn.com › generative-ai-architectureA Deep Dive into Generative AI Architecture and Models

   www.simplilearn.com › generative-ai-architecture

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   4 days ago · Generative AI is a type of artificial intelligence that can create new content, like images or text, by learning from existing data. Unlike traditional AI, which mainly analyzes data and makes predictions, generative AI focuses on inventing original ideas, opening up new creative possibilities. 3.

8. www.accenture.com › us-en › blogs7 Architecture Considerations for Generative AI - Accenture

   www.accenture.com › us-en › blogs

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   Jun 5, 2023 · 1. Which foundation model should we use? The number of Gen AI models—and vendors—is growing all the time. Pure-play vendors like OpenAI and Cohere are offering next generation models as service, developed through fundamental research and trained on a large corpus of publicly available data.

9. People also ask

   What is generative AI architecture?

   • The data architecture that spans foundational to generative AI (gen AI) as well as large language models (LLMs) is highly sophisticated. Generative AI architecture refers to the underlying model design and components that enable complex models. In this article, we’ll lay out a high-level overview of gen AI architecture.

   Generative AI Architecture: Layers and Models - Snowflake

   www.snowflake.com/trending/generative-ai-architecture/

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   What is generative AI based on?

   • Generative AI is based on a foundation models. Foundation models are huge models (billions of parameters), pre-trained on giant datasets (GB or TB of data), and capable of performing an infinite number of tasks in their domain (text or image generation). Datasets for pre-training usually comprise all genres of data in the domain.

   The Generative AI List of Lists: 5000 Models, Tools ... - Medium

   medium.com/@maximilian.vogel/5000x-generative-ai-intro-overview-models-prompts-technology-tools-comparisons-the-best-a4af95874e94

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   What generative AI technology is coming to the workplace?

   • Google has two large language models, Palm, a multimodal model, and Bard, a pure language model. They are embedding their generative AI technology into their suite of workplace applications, which will immediately get it in the hands of millions of people. Microsoft and OpenAI are marching in lockstep.

   Generative AI: What Is It, Tools, Models, Applications and ... - Gartner

   www.gartner.com/en/topics/generative-ai

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   What is the difference between generative AI and discriminative AI?

   • On the other hand, the generative AI task is to create new data points that look like the existing ones. Discriminative models include a wide range of models, like Convolutional Neural Networks (CNNs), Deep Neural Networks (DNNs), Support Vector Machines (SVMs), or even simpler models like random forests.

   Generative AI: A Guide To Generative Models - viso.ai

   viso.ai/deep-learning/generative-ai/

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   What is the difference between classic AI and generative AI?

   • Plus, classic AI models are usually focused on a single task. Their generative sisters, on the other hand, are pre-trained on giant amounts of data from a wide range of domains. They can build up general knowledge and use it to generate almost any output in their specific medium (text, image, sound, or other).

   The Generative AI List of Lists: 5000 Models, Tools ... - Medium

   medium.com/@maximilian.vogel/5000x-generative-ai-intro-overview-models-prompts-technology-tools-comparisons-the-best-a4af95874e94

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   What is generative AI & how can it help content creators?

   • Generative AI models have become powerful tools for content creators. The kind of transformation these models and tools have brought into the creative landscape has been quite useful and may even be controversial. Art, design, music, videos, and writing, have all been influenced by generative AI.

   Generative AI: A Guide To Generative Models - viso.ai

   viso.ai/deep-learning/generative-ai/

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10. viso.ai › deep-learning › generative-aiGenerative AI: A Guide To Generative Models - viso.ai

    viso.ai › deep-learning › generative-ai

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    Jul 9, 2024 · July 9, 2024. Generative AI, the infamous category of artificial intelligence models that can craft new content like images, text, or code has taken the world by storm in recent years.