TLDR AI

TLDR AI 2023-09-20

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01GENERAL

Sponsored

STORES

Before going all-in on AI, you need data that’s AI-ready. The semantic layer has a big role to play here — providing a single view of critical business metrics (e.g. ARR, headcount) and common analytics vocabulary across various groups. The new 2023 GigaOm Sonar Report for Semantic Layers and Metrics Stores

atscale.comSponsor

02HEADLINES & LAUNCHES

OPENAI LAUNCHES A RED TEAMING NETWORK

OpenAI has introduced the OpenAI Red Teaming Network, a group of experts that will assist in assessing and mitigating the risks associated with its AI models.

techcrunch.com2 min read

ANYSCALE OPTIMIZES OPEN SOURCE AI DEPLOYMENTS WITH ENDPOINTS

Anyscale has unveiled Endpoints, which allows developers to integrate fast, cost-efficient, and scalable LLMs into their applications using popular LLM APIs. The company also announced a new integration with NVIDIA to boost the performance and development of LLMs on Ray, Anyscale’s open-source framework for distributed machine learning.

venturebeat.com5 min read

BARD CAN NOW FIND ANSWERS IN YOUR GMAIL, DOCS, AND DRIVE

Google's Bard chatbot can now scan Gmail, Docs, and Drive to retrieve information and perform tasks. Google says these new integrations, called extensions, aim to save users time when searching for specific information within their documents and emails.

theverge.com2 min read

03RESEARCH & INNOVATION

6T MULTILINGUAL TOKENS

Hot on the heels of Google's new dataset comes CulturaX. A cleaned dataset of trillions of multilingual tokens will be a great boost for multilingual language models.

arxiv.org22 min read

IMPROVING TEXT-TO-IMAGE GENERATION

Turning long texts into images can be tough, especially when there are lots of items or details to show. This new method breaks down long descriptions into simpler steps and makes sure each detail fits perfectly in the picture, setting a new high standard for creating images from text.

arxiv.org13 min read

MAKING DEPTH ESTIMATION MORE FLEXIBLE

Figuring out 3D depth from a single 2D image is tricky because many 3D scenes can look the same in 2D. This method separates camera details from the picture's content, making it easier to guess the depth in various situations.

arxiv.org13 min read

04ENGINEERING & RESOURCES

Sponsored

The world's most powerful speech-to-text (STT) model is here: NOVA-2. Compared to alternatives, Deepgram’s Nova-2 offers next-level accuracy and blazing fast speed, to ship voice AI features faster. LEARN MORE

deepgram.comSponsor

TRACK HUNDREDS OF POINTS IN REAL TIME

PIPS2 is a state-of-the-art point-tracking system that performs dense pixel-level tracking and is robust to basic occlusions and fast motion.

github.comGitHub repository

USING LANGUAGE MODELS TO IMPROVE HOW THINGS LOOK ONLINE

Creating eye-catching designs online is important for getting users interested and helping them understand information. This new method, called LayoutNUWA, makes these designs smarter by using language models to turn coding instructions into awesome layouts.

github.comGitHub repository

DOLA: A SIMPLE WAY TO MAKE LANGUAGE MODELS STICK TO THE FACTS

Researchers have introduced a new method called DoLa that helps large language models (like the ones that chat with you or write articles) stop making stuff up and stick to the facts. It uses a smart way of comparing different layers inside the model to filter out false information.

arxiv.org23 min read

05MISCELLANEOUS

STATE-OF-THE-ART BACKGROUND REMOVAL IN HF TRANSFORMERS

Matting is the process of creating a black-and-white mask to segment out important parts of an image. It is usually used for foreground and background segmentation. The portrait mode on smartphones uses a method similar to ViTMatte described here.

github.com5 min read

EXISTED

Google’s AlphaFold played a crucial role in determining the specific structures of two intrinsically disordered proteins that induce previously unidentified structures when they interact. The discovery sheds light on how such proteins function and brings valuable insights into complex biological questions that were previously challenging to answer.

arstechnica.com4 min read