AI Technologies & Platforms: Page

What GPT model limitations mean for the future of GenAI

With concerns like limited reasoning and hallucination risk, will AI developers turn away from the GPT model and toward alternative model types?

By Chris Tozzi • July 8, 2025

Senate’s ‘One Big, Beautiful Bill’ affects AI, U.S. energy

The massive tax bill passed by the Senate represents a shift in U.S. energy policy and opens a window for Congress to move on a federal AI framework.

By Makenzie Holland • July 1, 2025

AI cannibalism explained: A model failure

AI cannibalism – training on AI-generated content – creates a feedback loop that worsens bias, degrades quality and risks model collapse, making systems unreliable or unusable.

By Sean Kerner • July 1, 2025

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.

By Esther Shittu • June 30, 2025

ChatGPT advanced AI, but OpenAI faces hurdles in keeping lead

Model makers disrupted AI, pushing Google to innovate and boosting Microsoft. Yet four years later, enterprises remain loyal to cloud providers, leaving the survival of the startups uncertain.

By Esther Shittu • June 30, 2025

Claude vs. ChatGPT: How do they compare?

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.

By Lev Craig • June 25, 2025

What is prediction error?

A prediction error is the failure of a model of a system to accurately forecast outcomes.

By Gavin Wright, Ivy Wigmore • June 24, 2025

Hands-on with QuillBot AI: Review and guide

Learn how one professional author uses QuillBot AI for writing tasks -- and how it stacks up to other popular options like Grammarly.

By Damon Garn • June 18, 2025

Pendo launches platform to analyze AI agent performance

The company said its new platform will enable businesses to track agentic AI software and optimize performance.

By Shane Snider • June 17, 2025

Apple AI paper likely self-serving but has some merit

Although the iPhone maker appears to be trying to draw attention away from the fact that it's behind in LLMs, the point it makes might still be valid.

By Esther Shittu • June 17, 2025

Oracle adds xAI Grok models to OCI

The move is customer-focused, as the tech giant aims to offer the models for applications such as content generation, research and business process automation.

By Esther Shittu • June 17, 2025

Pegasystems founder and CEO Alan Trefler on future of GenAI

The tech pioneer is optimistic about generative AI -- as long as users are aware of its capacity for mistakes.

By Shaun Sutner , Esther Shittu • June 17, 2025

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.

By Kerry Doyle • June 16, 2025

OpenAI o3 and o4 explained: Everything you need to know

OpenAI o3 and o4-mini are successors to the o1 model and are releases from the OpenAI reasoning model branch. These models became widely available on April 16, 2025.

By Sean Kerner • June 13, 2025

What is Apple Intelligence?

Apple Intelligence is the platform name for a suite of generative AI capabilities that Apple is integrating across its products, including iPhone, Mac and iPad devices.

By Sean Kerner • June 11, 2025

What differentiates Mistral AI reasoning model Magistral

Magistral is available in two versions. The vendor has also focused on traceable reasoning, which is important for heavily regulated industries.

By Esther Shittu • June 11, 2025

Does AI-generated code violate open source licenses?

Unresolved questions about how open source licenses apply to AI models trained on public code are forcing users, vendors and open source developers to navigate legal gray areas.

By Chris Tozzi • June 6, 2025

IBM launches Watsonx AI Labs, acquires Seek AI

The company said its new startup incubator will give AI developers access to tools and expertise to build enterprise AI applications.

By Shane Snider • June 6, 2025

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.

By Scott Robinson, Alexander Gillis • June 6, 2025

IBM delivers AI agent orchestration innovations at Think 2025

IBM's focus on AI agent orchestration, observability, and governance supports enterprise IT departments' need for a tool that spans multiple vendor platforms.

By Mark Beccue • June 4, 2025

How AI is changing telemedicine in 2025

AI is virtually expanding, reshaping and personalizing telehealth practices in triaging, image analysis, patient diagnoses, treatment planning, monitoring and mental health.

By Mary Pratt • June 4, 2025

What comes after LLMs? The next wave in generative AI

Large language models ushered in a new era of AI, but they're not without their fair share of limitations. What technology comes next?

By Chris Tozzi • June 3, 2025

What is a target function?

A target function, in machine learning, is a mathematical representation of the ideal mapping between supervised learning inputs and outputs.

By Katie Terrell Hanna • June 3, 2025

Companies that have partnered with Nvidia for innovative AI projects

In the modern era, no individual tech vendor is an island; most prosper best through partnerships. That's certainly the case for GPU and AI innovator Nvidia.

By Sean Kerner • May 30, 2025

Best practices for real-world ML deployment

Deploying machine learning models to production is complex, with many potential pitfalls. Use this technical roadmap as a guide to navigate the process effectively.

By Marius Sandbu • May 28, 2025