AI

The report The economic potential of generative AI: The next productivity frontier, published by McKinsey & Company, estimates that generative AI could add an equivalent of $2.6 trillion to $4.4 trillion in value to the global economy. The largest value will be added across four areas: customer operations, marketing and sales, software engineering, and R&D. […]

Deepfakes were nothing like the political force in 2024 that many feared—but that doesn’t mean that generative AI didn’t profoundly affect elections all over the world.

Countries must collaborate if we’re going to create a less fearful future for artificial intelligence.

Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their data isn’t cost effective. To reduce costs while continuing to use the

When building voice-enabled chatbots with Amazon Lex, one of the biggest challenges is accurately capturing user speech input for slot values. For example, when a user needs to provide their account number or confirmation code, speech recognition accuracy becomes crucial. This is where transcription confidence scores come in to help ensure reliable slot filling. What

Customers need better accuracy to take generative AI applications into production. In a world where decisions are increasingly data-driven, the integrity and reliability of information are paramount. To address this, customers often begin by enhancing generative AI accuracy through vector-based retrieval systems and the Retrieval Augmented Generation (RAG) architectural pattern, which integrates dense embeddings to

Surrendering to algorithmic agents risks putting us under their influence.

With big cash prizes at stake—and AI supercharging research—interspecies translation is closer than ever. But what, if anything, would animals want to tell us?

Google dominated the last era of search. Now the company and the US Justice Department are battling over how to set a fair playing field for generative AI.

It’s past time we applauded the creative skills of LLMs—and it might make us appreciate humans more too.