Issue 59

Highlights

DeepMind’s new AI generates soundtracks and dialog for videos

DeepMind, Google’s AI research lab, says it’s developing AI tech to generate soundtracks for videos. In a post on its official blog, DeepMind says that it sees the tech, V2A (short for “video-to-audio”), as an essential piece of the AI-generated media puzzle. While plenty of orgs including DeepMind have developed video-generating AI models, these models […]

Apple brings ChatGPT to its apps, including Siri

Apple is bringing ChatGPT, OpenAI’s AI-powered chatbot experience, to Siri and other first-party apps and capabilities across its operating systems. The tech giant announced the news during a keynote at its annual WorldWide Developer Conference (WWDC) in Cupertino this morning. Soon, Siri will be able to tap ChatGPT for “expertise” where it might be helpful, […]

Women in AI: Anna Korhonen studies the intersection between linguistics and AI

To give AI-focused women academics and others their well-deserved — and overdue — time in the spotlight, TechCrunch is launching a series of interviews focusing on remarkable women who’ve contributed to the AI revolution. We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized. Read more profiles […]

Runway’s new video-generating AI, Gen-3, offers improved controls

The race to high-quality, AI-generated videos is heating up. On Monday, Runway, a company building generative AI tools geared toward film and image content creators, unveiled Gen-3 Alpha, its latest AI model for generating video clips from text descriptions and still images. Runway says that Gen-3 delivers a “major” improvement in generation speed and fidelity over […]

Research

Paper of the week: Improve reranking results with RankZephyr

Reranking is an essential technique when building a RAG system. It grounds the model better and improves the relevancy of the documents used to answer users' questions. This week's paper explores RankZephyr, an open-source reranker that looks very promising. In the paper, you'll find a great explanation of how a reranker is made and how you can improve your RAG results with one.

Video

AI Show: On Demand | RAG at scale: Leveraging Azure AI Search for High-Impact RAG Solutions

In this episode of The AI Show, we explore the art of scaling RAG applications with Azure AI Search. Learn how this tool is a catalyst for growth, enabling superior performance without the high costs. Dive into GenAI and master the balance of efficiency and economy with Azure AI Search.

Articles

Accelerating MoE model inference with Locality-Aware Kernel Design

1.0 Summary

DrugGPT: new AI tool could help doctors prescribe medicine in England

New tool may offer prescription ‘safety net’ and reduce the 237m medication errors made each year in England Drugs are a cornerstone of medicine, but sometimes doctors make mistakes when prescribing them and patients don’t take them properly. A new AI tool developed at Oxford University aims to tackle both those problems. DrugGPT offers a safety net for clinicians when they prescribe medicines and gives them information that may help their patients better understand why and how to take them. Continue reading...

Transformers: From NLP to Computer Vision

How Transformer architecture has been adapted to computer vision tasks Continue reading on Towards Data Science »

Amazon Music follows Spotify with an AI playlist generator of its own, Maestro

Spotify isn’t the only one to dabble with AI playlists — on Tuesday, Amazon announced it would do the same. Amazon Music is now testing Maestro, an AI playlist generator, allowing U.S. customers on both iOS and Android to create playlists using spoken or written prompts, which can even contain emojis. Amazon suggests that in […]

IBM Open-Sources Its Granite AI Models

But, as IBM Research chief scientist Ruchir Puri said, "We are transforming the generative AI landscape for software by releasing the highest performing, cost-efficient code LLMs, empowering the open community to innovate without restrictions." Without restrictions, perhaps, but not without specific applications in mind. An anonymous reader quotes a report from ZDNet: IBM managed the open sourcing of Granite code by using pretraining data from publicly available datasets, such as GitHub Code Clean, Starcoder data, public code repositories, and GitHub issues.