New & Notable
Evaluate
GPT-4o vs. GPT-4: How do they compare?
OpenAI's GPT-4o promises improved multimodal capabilities and increased efficiency. Explore the differences between GPT-4o and its predecessor, GPT-4.
Evaluate
Claude vs. ChatGPT: What's the difference?
Compare Anthropic's Claude vs. OpenAI's ChatGPT in terms of features, model options, costs, performance and privacy to decide which generative AI tool better suits your needs.
News
OpenAI takes on Google with new SearchGPT prototype
The AI engine will provide users with information from the web. The AI vendor is working with publishers such as Newsmax. It will incorporate some features in ChatGPT.
Get Started
What is boosting in machine learning?
Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works.
Trending Topics
-
AI Infrastructure News
Meta intros its biggest open source AI model: Llama 3.1 405B
The model is the biggest open source model yet, the tech giant claims. The social media company also upgraded its model context window to 128k and updated its AI assistant.
-
AI Technologies Manage
How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved transparency, troubleshooting and user acceptance.
-
AI Platforms Get Started
Microsoft 365 Copilot features and architecture explained
Microsoft's new assistant adds generative AI to the workplace, using various features and architectural components for automated suggestions, content creation and data insights.
-
ML Platforms Get Started
What is boosting in machine learning?
Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works.
-
AI Business Strategies Evaluate
Generative AI ethics: 8 biggest concerns and risks
As its adoption grows, generative AI is upending business models and forcing ethical issues like customer privacy, brand integrity and worker displacement to the forefront.
-
Applications of AI News
LexisNexis launches commercial version of AI research tool
Nexis+AI enables users to research and analyze news, summarize documents and create first drafts. The platform is built on GPT from Microsoft Azure and Anthropic Claude from AWS.
Featured Authors
Find Solutions For Your Project
-
Evaluate
Generative AI ethics: 8 biggest concerns and risks
As its adoption grows, generative AI is upending business models and forcing ethical issues like customer privacy, brand integrity and worker displacement to the forefront.
-
How to build the business case for AI initiatives
-
Data science vs. machine learning: What's the difference?
-
Generative AI vs. predictive AI: Understanding the differences
-
-
Problem Solve
A short guide to managing generative AI hallucinations
Generative AI hallucinations cause major problems in the enterprise. Mitigation strategies like retrieval-augmented generation, data validation and continuous monitoring can help.
-
What companies are getting wrong about AI
-
Best practices for getting started with MLOps
-
Clean data is the foundation of machine learning
-
-
Manage
How to ensure interpretability in machine learning models
When building ML models, developers can use several techniques to make models easier for humans to interpret, leading to improved transparency, troubleshooting and user acceptance.
-
What is the future of machine learning?
-
Best practices for integrating AI and ESG strategies
-
Is your business ready for the EU AI Act?
-
-
E-Handbook | August 2020
Machine learning and bias concerns weigh on data scientists
Download -
E-Handbook | November 2019
Data visualization process yields 360 AI-driven analytics view
Download -
E-Handbook | October 2019
Neural network applications in business run wide, fast and deep
Download -
E-Handbook | July 2019
Machine learning platform architecture demands deep analysis
Download -
Buyer's Handbook | June 2019
Pinpoint the right RPA products to advance your organization
Download
Enterprise Artificial Intelligence Basics
-
Get Started
What is boosting in machine learning?
Boosting is a technique used in machine learning that trains an ensemble of so-called weak learners to produce an accurate model, or strong learner. Learn how it works.
-
Get Started
Microsoft 365 Copilot features and architecture explained
Microsoft's new assistant adds generative AI to the workplace, using various features and architectural components for automated suggestions, content creation and data insights.
-
Get Started
What is Bayes' theorem? How is it used in machine learning?
Bayes' theorem is a mathematical formula used in probability theory to calculate conditional probability, i.e., the revised likelihood of an outcome occurring given the knowledge of a related condition or previous outcome.
Multimedia
-
News
View All -
AI technologies
Noom CEO on the need for AI in wellness and health
CEO Geoff Cook discusses the benefits of AI in the wellness industry, the need for humans and the possibility of AI technology in remedying the doctor shortage.
-
AI technologies
Google intros Mistral Codestral as a service on Vertex AI
The cloud provider differentiates its GenAI stance by offering the code-generating LLM as a service on the Vertex AI Model Garden, along with Mistral Large 2.
-
AI infrastructure
Meta intros its biggest open source AI model: Llama 3.1 405B
The model is the biggest open source model yet, the tech giant claims. The social media company also upgraded its model context window to 128k and updated its AI assistant.
Enterprise AI Definitions
- What is Bayes' theorem? How is it used in machine learning?
- What is reinforcement learning?
- gradient descent
- large language model operations (LLMOps)
- automated machine learning (AutoML)
- self-driving car (autonomous car or driverless car)
- What is artificial intelligence (AI)? Everything you need to know
- What is Google Gemini (formerly Bard)