/AI Weekly/Issue 49

Issue #49 16 stories

Global AI Weekly

Lifelike talking faces of virtual characters (VASA-1) and Meta steps up AI battle with Llama 3

Published Tuesday, April 23, 2024

In this issue

Highlights

3 stories
VASA-1 - Microsoft Research
microsoft.com

VASA-1 - Microsoft Research

We introduce VASA, a framework for generating lifelike talking faces of virtual characters with appealing visual affective skills (VAS), given a single static image and a speech audio clip. Our premiere model, VASA-1, is capable of not only producing lip movements that are exquisitely synchronized with the audio, but also capturing a large spectrum of facial nuances and natural head motions that contribute to the perception of authenticity and liveliness.

Meta steps up AI battle with OpenAI and Google with release of Llama 3
theguardian.com

Meta steps up AI battle with OpenAI and Google with release of Llama 3

Tech firm released early versions of its latest large language model and a real-time image generator as it tries to catch up to OpenAI. Meta Platforms on Thursday released early versions of its latest large language model, Llama 3, and an image generator that updates pictures in real time while users type prompts, as it races to catch up to generative AI market leader OpenAI.

In this issue

Research

1 story
Infinite context windows for LLMs?
arxiv.org

Infinite context windows for LLMs?

As context windows for models like GPT-4 get larger, reaching sizes of up to 128K tokens, we should ask ourselves, what if it’s infinite? Google tried it by compressing the values of the attention head in their LLM. The results are definitely promising!

In this issue

Video

2 stories
AI Show | Global Face Grouping with Video Indexer
youtube.com

AI Show | Global Face Grouping with Video Indexer

Global Face Grouping empowers VI users to cross-correlate faces that appear in different videos on the VI account. This feature works as a recommendation system for automatically tagging a face recognition catalogue for custom face identification.

Learn Live: Developing a production level RAG workflow
youtube.com

Learn Live: Developing a production level RAG workflow

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio (preview).

In this issue

Articles

9 stories
Fine-tune Llama 3 with ORPO
huggingface.co

Fine-tune Llama 3 with ORPO

ORPO is a new exciting fine-tuning technique that combines the traditional supervised fine-tuning and preference alignment stages into a single process. This reduces the computational resources and time required for training. Moreover, empirical results demonstrate that ORPO outperforms other alignment methods on various model sizes and benchmarks.

In this issue

Podcast

1 story
Silicon Minds, Human Hearts - Crafting a Future of Synergy in the AI Era
globalaicommunity.transistor.fm

Silicon Minds, Human Hearts - Crafting a Future of Synergy in the AI Era

A series that zooms into the intersection of artificial intelligence (AI) with daily human life. It features interviews with leading AI experts, thinkers, and tech innovators, offering viewers a behind-the-scenes look at the advances in AI. With a conversational tone, the film tackles the big moral dilemmas and the future implications of AI, all while keeping things relatable. It's not just tech talk; it's about what it means to be human in an age where computers are getting smarter.

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