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Explore real-world use cases for multimodal generative AI
Multimodal generative AI can integrate and interpret multiple data types within a single model, offering enterprises a new way to improve everyday business processes.
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Understanding the role of temperature settings in AI output
Learn how adjusting the temperature settings in AI tools can help you strike a balance between reliability and innovation.
News
Oracle launches new AI Agent Studio in Fusion suite
The studio is designed for Oracle customers that already have most of their data situated in the Fusion suite. It includes new libraries and a trust and security framework.
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12 prompt engineering best practices and tips
Asking the right questions is crucial for effective generative AI use. Learn 12 tips for writing clear, useful prompts, including mistakes to avoid and advice for image generation.
Trending Topics
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AI Infrastructure News
Nvidia readies Vera Rubin to replace Blackwell
Nvidia's upcoming advanced GPUs, Blackwell Ultra and Vera Rubin, give it as much as a two-year lead over competitors, an analyst says.
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AI Technologies News
Oracle launches new AI Agent Studio in Fusion Suite
The studio is designed for Oracle customers that already have most of their data situated in the Fusion suite. The studio includes new libraries and a trust and security framework.
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AI Platforms News
OpenAI rides agentic wave, intros new agent-building tools
The vendor's new Responses API includes various tools such as web search, file search and computer use that developers can use to build agentic applications.
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ML Platforms Problem Solve
Data quality in AI: 9 common issues and best practices
Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.
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AI Business Strategies News
Building AI agents a headache for tech leaders
While companies like OpenAI and Salesforce offer tools to build AI agents, tech leaders are struggling to understand and adapt the technology within their offerings.
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Applications of AI Manage
10 real-world agentic AI examples and use cases
AI that doesn't just follow instructions but figures out how to get things done -- that's the promise of agentic AI, an emerging approach that's already changing some sectors.
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Business Applications
Modernize Workloads in the Cloud to Drive Business Transformation with AWS and AWS Partners
Accelerate business innovations by modernizing Windows Server and SQL Server workloads with AWS purpose-built services and open-source technologies. Benefit from the knowledge and expertise working with AWS Partners to achieve faster time-to-market for new service creation and delivery.
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Cloud Computing
Capgemini and AWS: A Trusted Partnership
Capgemini and Amazon Web Services (AWS) blend deep industry knowledge, cloud expertise, and services to help you realize your vision of a 21st-century business. Capgemeni and AWS enable your digital future with proven methodologies and programs to accelerate your journey to the cloud, delivering innovative solutions to help you reach your business ambitions and a sustainable future.
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Cloud Computing
Building AI infrastructure with Google and AMD
Google and AMD combine forces to set a new standard in performance and cost efficiency across all your workloads, delivering unmatched computing excellence.
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Compare Google Vertex AI vs. Amazon SageMaker vs. Azure ML
What should your organization consider when choosing a platform for machine learning development and deployment?
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What is GenAI? Generative AI explained
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Why small language models are on the rise
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GANs vs. VAEs: What is the best generative AI approach?
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Problem Solve
Data quality in AI: 9 common issues and best practices
Building a useful, reliable AI system requires trustworthy, well-managed data. Here's how to find and fix data issues that can drag down AI projects.
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How bad is generative AI data leakage and how can you stop it?
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6 ways to reduce different types of bias in machine learning
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A short guide to managing generative AI hallucinations
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Manage
10 real-world agentic AI examples and use cases
AI that doesn't just follow instructions but figures out how to get things done -- that's the promise of agentic AI, an emerging approach that's already changing some sectors.
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How and why to create synthetic data with generative AI
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How to enhance OSINT investigations using AI
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GPT-3.5 vs. GPT-4: Biggest differences to consider
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Enterprise Artificial Intelligence Basics
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Get Started
What is neural radiance field (NeRF)?
Neural radiance fields (NeRFs) use deep learning to turn 2D images of objects or scenes into detailed 3D representations by encoding the entire scene into an artificial neural network.
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Get Started
Understanding the role of temperature settings in AI output
Learn how adjusting the temperature settings in AI tools can help you strike a balance between reliability and innovation.
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Get Started
12 prompt engineering best practices and tips
Asking the right questions is crucial for effective generative AI use. Learn 12 tips for writing clear, useful prompts, including mistakes to avoid and advice for image generation.
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AI technologies
Oracle launches new AI Agent Studio in Fusion suite
The studio is designed for Oracle customers that already have most of their data situated in the Fusion suite. It includes new libraries and a trust and security framework.
-
AI infrastructure
Nvidia readies Vera Rubin to replace Blackwell
Nvidia's upcoming advanced GPUs, Blackwell Ultra and Vera Rubin, give it as much as a two-year lead over competitors, an analyst says.
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AI infrastructure
Nvidia aims at agents, physical AI with reasoning models
The AI hardware and software vendor launched Llama Nemotron, a family of open source models for agentic AI. It also introduced Cosmos Reason.
Search Enterprise AI Definitions
- What is neural radiance field (NeRF)?
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- What is GenAI? Generative AI explained
- What is lemmatization?