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Embedding models for semantic search: A guide
Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data.
Evaluate
8 metrics to measure GenAI’s performance and business value
When gauging the success of generative AI initiatives, metrics should be agreed upon upfront and focus on the performance of the model and the value it delivers.
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How to detect AI-generated content
AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you.
Top 10 generative AI courses and training resources
These wide-ranging resources help users of all skill levels learn the ins and outs of generative AI, offer advice and training on tools, and help users keep up with trends.
Trending Topics
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AI Infrastructure News
Amazon invests additional $4 billion in Anthropic
The cloud provider will be the primary training partner for the generative AI vendor. The LLM maker will also train all its models on Trainium and Inferentia.
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AI Technologies Get Started
Embedding models for semantic search: A guide
Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data.
-
AI Platforms Get Started
How to detect AI-generated content
AI- or human-generated? To test their reliability, six popular generative AI detectors were asked to judge three pieces of content. The one they got wrong may surprise you.
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ML Platforms Get Started
Hyperparameter tuning techniques to optimize ML models
Hyperparameters play a key role in shaping how machine learning models learn from data. Learn how adjusting these settings can improve model accuracy and performance.
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AI Business Strategies News
Meta aims at enterprises with hire of ex-Salesforce AI exec
The social media giant has found success with its Llama family of GenAI models. The new hire shows it is targeting enterprise products.
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Applications of AI News
Creating a clean generative AI data set with Getty Images
The clean data set contains no images of brands, celebrities and well-known figures such as presidential candidates, and includes a license for each image.
Sponsored Sites
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Cybersecurity
Kaspersky Next: Cybersecurity Redefined
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Artificial Intelligence
AWS and Deloitte
Your potential is our purpose. Innovation is not just about generating ideas; it’s about realizing your potential through solutions that spark real progress. The Deloitte AWS alliance brings together two world-leading organizations, putting best-in-class talent, vast industry experience, broad capabilities, and the resources to invest deeply in innovation, at the service of our clients’ most pressing problems. Together, we empower you to navigate the future confidently and turn potential into business outcomes.
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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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Find Solutions For Your Project
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Evaluate
8 metrics to measure GenAI’s performance and business value
When gauging the success of generative AI initiatives, metrics should be agreed upon upfront and focus on the performance of the model and the value it delivers.
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Generative AI vs. predictive AI: Understanding the differences
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AI inference vs. training: Key differences and tradeoffs
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Hyperparameter tuning techniques to optimize ML models
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Problem Solve
6 ways to reduce different types of bias in machine learning
As adoption of machine learning grows, companies must become data experts or risk results that are inaccurate, unfair or even dangerous. Here's how to combat machine learning bias.
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A short guide to managing generative AI hallucinations
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What companies are getting wrong about AI
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Best practices for getting started with MLOps
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Manage
Survey: Enterprise generative AI adoption ramped up in 2024
Nearly a third of organizations are now using generative AI in production. But data quality, the AI skills gap and an evolving regulatory landscape continue to present hurdles.
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Reduce project expenses with AI cost optimization strategies
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How businesses can measure AI success with KPIs
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How to effectively manage AI projects in 12 steps
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Enterprise Artificial Intelligence Basics
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Get Started
Embedding models for semantic search: A guide
Embedding models in semantic search are changing how we interact with information by going beyond keyword matching to capture meaning and relationships in text and other data.
-
Get Started
What is Gemma? Google's open sourced AI model explained
Gemma is a collection of lightweight open source generative AI models designed mainly for developers and researchers.
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Get Started
What is neuro-symbolic AI?
Neuro-symbolic AI combines neural networks with rules-based symbolic processing techniques to improve artificial intelligence systems' accuracy, explainability and precision.
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Vendor Resources
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News
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AI infrastructure
Amazon invests additional $4 billion in Anthropic
The cloud provider will be the primary training partner for the generative AI vendor. The LLM maker will also train all its models on Trainium and Inferentia.
-
AI infrastructure
Nvidia Blackwell GPU production ramps up amid revenue surge
Nvidia's Blackwell GPU production is 'full steam' ahead as revenue surges with AI demand.
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AI business strategies
Meta aims at enterprises with hire of ex-Salesforce AI exec
The social media giant has found success with its Llama family of GenAI models. The new hire shows it is targeting enterprise products.
Search Enterprise AI Definitions
- What is Gemma? Google's open sourced AI model explained
- What is neuro-symbolic AI?
- What is AI red teaming?
- What is data poisoning (AI poisoning) and how does it work?
- What is Q-learning?
- What is Fréchet inception distance (FID)?
- What is computational linguistics? Definition and career info
- What is Dall-E and how does it work?