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Interpreting the rapid evolution of generative AI systems
In the two years that 'Targeting AI' has covered the increasingly pervasive world of AI technology, generative AI has become one of the dominant memes in business and society.
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Agentic AI vs. generative AI: What's the difference?
While often discussed together, agentic AI and generative AI have distinct differences. Understanding those differences is key to implementing both effectively.
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How to evaluate LLMs for enterprise use cases
What defines success is business value -- not just benchmark scores.
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Why Apple is ripe for an AI acquisition to improve Siri
Following WWDC, questions mount over the company's GenAI approach. An acquisition may be necessary for it to gain ground in GenAI.
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AI Infrastructure News
TSMC's profit soars as AI chips boom globally
The Taiwan-based company, which manufactures a large portion of the world's semiconductors, saw booming profit and revenue in its most recent earnings report.
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AI Technologies News
Interpreting the rapid evolution of generative AI systems
In the two years that 'Targeting AI' has covered the increasingly pervasive world of AI technology, generative AI has become one of the dominant memes in business and society.
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AI Platforms News
Baidu makes foundation model Ernie 4.5 open source
The China-based AI vendor has contributed to the open source community before. The release of the family of open models highlights the growth of the open source community in GenAI.
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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 Manage
How to evaluate LLMs for enterprise use cases
What defines success is business value -- not just benchmark scores.
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Applications of AI News
Data-driven AI: How AWS partners and customers operate
A key factor is driving how organizations like The Ocean Cleanup and Dine Brands apply AWS' technology to their applications and needs.
Sponsored Sites
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Accelerating Application Transformation with Amazon Q Developer
Amazon Q Developer transformation capabilities accelerate large-scale transformation of enterprise workloads with domain-expert generative AI agents to simplify .NET porting, VMware modernization, mainframe application modernization, and Java upgrades. Put experience of AWS and the power of generative AI to work to simplify your application migration and modernization journey and transform your business.
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Artificial Intelligence
AI Everywhere
AI is transforming how we work. The majority of data center AI inference deployments today run on Intel® Xeon® processors. Learn why Intel® AI is the most trustworthy
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Artificial Intelligence
Dell AI Factory with NVIDIA
Reimagine the speed of business with cutting-edge AI innovation and scalable AI workflow automation.
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Integrating IoT and machine learning: Benefits and use cases
With applications in industries such as manufacturing and healthcare, integrating IoT with machine learning offers a range of unique benefits.
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Claude vs. ChatGPT: How do they compare?
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Hands-on with QuillBot AI: Review and guide
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Does AI-generated code violate open source licenses?
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Problem Solve
How to use LangChain for LLM application development
LangChain helps developers do more with language models, linking them to tools, APIs and live data to build more capable and dynamic AI applications.
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Get started with Cursor AI: A step-by-step tutorial
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Why does AI hallucinate, and can we prevent it?
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Data quality in AI: 9 common issues and best practices
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How to evaluate LLMs for enterprise use cases
What defines success is business value -- not just benchmark scores.
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8 agentic AI governance strategies: A complete guide
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What GPT model limitations mean for the future of GenAI
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Generative AI security risks: Best practices for enterprises
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Enterprise Artificial Intelligence Basics
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Agentic AI vs. generative AI: What's the difference?
While often discussed together, agentic AI and generative AI have distinct differences. Understanding those differences is key to implementing both effectively.
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Get Started
What is crypto-agility?
Crypto-agility, or cryptographic agility, is the ability of an organization to efficiently and rapidly change cryptographic algorithms, protocols or primitives in response to emerging threats, vulnerabilities or regulatory requirements.
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What is automated reasoning? How is it used in AI?
Automated reasoning is the area of computer science concerned with applying reasoning in the form of logic to computing systems.
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AI technologies
Why Apple is ripe for an AI acquisition to improve Siri
Following WWDC, questions mount over the company's GenAI approach. An acquisition may be necessary for it to gain ground in GenAI.
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AI business strategies
White House AI plan places scrutiny on state AI laws
While the White House wants to ensure U.S. companies can export AI products, it's considering new export controls for semiconductor manufacturing subsystems.
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AI technologies
Google advances Gemini with low-cost Flash-Lite 2.5
The cloud provider's model release targets businesses looking for performance, cost-effectiveness and precision.
Search Enterprise AI Definitions
- What is crypto-agility?
- What is automated reasoning? How is it used in AI?
- What is intelligent process automation (IPA)?
- What is assistive technology (adaptive technology)?
- What is OpenAI?
- What is neural radiance field (NeRF)?
- What is Gemma? Google's open sourced AI model explained
- What is GenAI? Generative AI explained