TLDR AI

TLDR AI 2024-05-01

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01GENERAL

Sponsored

WINDOW TO INVEST IS CLOSING

What if you had the opportunity to invest in the biggest electronics products as they launched into big box retail?

invest.helloryse.comSponsor

02HEADLINES & LAUNCHES

META RELEASES EXECUTORCH FRAMEWORK FOR LLM ON EDGE DEVICES

Meta's ExecuTorch Framework is a post-training quantization toolkit that enables running Llama models on various iPhone and Galaxy devices. It is able to get as much as 11 tokens per second on mobile phones running 7B sized language models.

pytorch.org4 min read

APPLE POACHES AI EXPERTS FROM GOOGLE, CREATES SECRETIVE EUROPEAN AI LAB

Apple has aggressively expanded its artificial intelligence capabilities by hiring numerous AI experts from Google and establishing a secretive AI research lab in Zurich, Switzerland. The lab, known as the "Vision Lab," focuses on developing advanced AI models that integrate text and visual inputs.

arstechnica.com3 min read

03RESEARCH & INNOVATION

TEXT RETRIEVAL WITH FASTER EMBEDDING SEARCHES

Seismic is an innovative approach to organizing inverted indexes that significantly enhances the speed and accuracy of text retrieval using learned sparse embeddings.

arxiv.org16 min read

04ENGINEERING & RESOURCES

Sponsored

AIQCON: NOT YOUR TYPICAL AI CONFERENCE

Join the AI Quality Conference [10] to challenge your assumptions, build real connections, and have the most fun you've ever had at a conference.

aiqualityconference.comSponsor

CUDA CHECKPOINTING

A new toolkit from Nvidia that allows checkpointing the CUDA state for transfer and restarting. It is useful for distributed training of very large AI models.

github.comGitHub repository

FRIENDS DON'T LET FRIENDS MAKE BAD VISUALIZATIONS

Visualizing eval scores for models is key in today's AI research world. However, many charts are bad at conveying the intended information. This repository shows some great charts and comes with dos and don'ts for visualizing results.

github.comGitHub repository

META-PROMPTING IN LLMS

Meta-prompting is a technique that turns a single language model into a multi-skilled team. This method breaks down complex tasks into simpler parts, handled by specialized instances of the same model, leading to significantly improved performance across various tasks.

github.comGitHub repository

05MISCELLANEOUS

SPEEDING UP LARGE LANGUAGE MODELS WITH QUICK

QUICK is a new set of optimized CUDA kernels that boosts the efficiency of large language models by solving memory issues. This leads to a notable speed increase on NVIDIA GPUs, making AI models faster and more efficient.

github.comGitHub repository

DIDDO'S NEW FUNDING WILL BRING ITS SHOPPABLE TV AI API TO STREAMING PLATFORMS

Diddo is a CV/AI API for streaming and media companies that can make their content instantly shoppable without the use of QR codes or second screens, opening up new revenue streams for them. Diddo's API keeps the purchase capabilities on platform and 100% native so it is truly an end-to-end commerce solution for video owners.

techcrunch.com3 min read

COGNITION SEEKS $2 BILLION VALUATION FOR AI CODE-WRITING TOOL

Cognition Labs, which is transitioning from crypto to AI, is seeking a $2 billion valuation for its code-writing AI tool, Devin. Amidst a trend of soaring valuations in AI startups, Cognition's success reflects the sector's growth and the importance of substantial investments in data and computational resources. Key players like Google and Microsoft continue to advance aggressively in AI with large language models.

pymnts.com2 min read