TLDR AI

TLDR AI 2024-01-31

5 sections20 entrieslinks blockcomplete parse

Parse notes

  • Subscription/account footer truncated before parsefooter_truncated

01HEADLINES & LAUNCHES

POEM/1 AI POWERED CLOCK

A delightful gadget that shows the time via a poem has been launched. It uses clever prompt caching and is beautifully designed.

fastcompany.com6 min read

APPLE CONTINUES WORK ON AI-POWERED SIRI AND MESSAGES FEATURES

Apple is preparing major artificial intelligence features for iOS 18. It is using OpenAI's ChatGPT API for internal testing to develop its own AI models. The first beta of iOS 17.4 revealed a new SiriSummarization framework that integrates AI into the Messages app for functionalities like summarization and auto-completion.

9to5mac.com2 min read

OPERA TO LAUNCH NEW AI-POWERED BROWSER FOR IOS IN EUROPE

Opera announced the upcoming launch of its AI-powered Opera One browser for iOS in Europe, following Apple's decision to allow non-WebKit-based browsers on iOS due to the European Digital Markets Act.

techcrunch.com2 min read

02RESEARCH & INNOVATION

100X FASTER CLUSTERING WITH LILAC GARDEN

A challenge in training language models is finding a diverse enough dataset for the task. Visualizing this data is even harder. This cool tool uses fast clustering and topic modeling to enable the exploration of data to improve filtering and overall quality.

docs.lilacml.com12 min read

REPHRASING THE WEB

“Up captioning” is an idea used in many AI systems to improve labels while training. This work from Apple applies this to pre-training by rephrasing C4 as Q/A pairs, instructions, and more. The study found the rephrasing step sped up convergence by 10x, making the model dramatically more sample efficient - at the cost of the rephrasing step.

arxiv.org31 min read

CONTINUAL LEARNING: A SURVEY

This paper offers a detailed survey of the latest advancements in continual learning, which focuses on continuously adapting to new data while retaining previous knowledge.

arxiv.org13 min read

03ENGINEERING & RESOURCES

Sponsored

REFINING YOUR BACKLOG IS A WASTE OF (YOUR) TIME

An up-to-date backlog helps your team prioritize the right projects, but managing it is a ton of work — which shouldn’t fall on you. Let Height handle the project legwork of backlog refining, bug triage, and chasing statuses.

height.appSponsor

PYTORCH EXPERIMENTAL FLOAT 8 TRAINING

Training models with lower precision is faster and cheaper, but unstable. There has been lots of great recent research on quantized training. This repository builds on those foundations with easy-to-read and hackable code to enable float8 training.

github.com12 min read

SCENE FLOW ESTIMATION IN AUTONOMOUS DRIVING

DeFlow is a new method for estimating 3D motion in scenes, a skill crucial for autonomous driving. It overcomes the limitations of traditional voxelization by transitioning from voxel-based to point features using a Gated Recurrent Unit refinement and introducing a novel loss function.

github.comGitHub repository

BILLION-SCALE RECOMMENDER SYSTEMS WITH GRAPH NEURAL NETWORKS

This project introduces MAcro Recommendation Graph (MAG) and Macro Graph Neural Networks (MacGNN). These approachs tackle the computational complexity of Graph Neural Networks by grouping similar behavior patterns into macro nodes, significantly reducing node count.

github.comGitHub repository

04MISCELLANEOUS

OPEN SOURCE OLLAMA MOBILE APP

Enchanted is an open source app for iOS that allows you to run language models on your mobile device.

github.comGitHub repository

SLICEGPT: STREAMLINING LARGE LANGUAGE MODELS EFFICIENTLY

SliceGPT introduces a novel post-training sparsification scheme to reduce the resource demands of large language models. By replacing weight matrices with smaller ones and reducing embedding dimensions, it can remove up to 25% of model parameters in major models like LLAMA2-70B and OPT 66B, while retaining up to 99% task performance.

arxiv.org19 min read

SAM ALTMAN SAYS GPT-5 WILL BE ‘OKAY’

OpenAI CEO Sam Altman's conflicting messages about AI's potential and limitations, including alternating between hyping up advancements like GPT-5 and tempering expectations, reflect a strategic balance between generating excitement and managing public sentiment but raise questions about the true progress and impact of AI technology.

thealgorithmicbridge.substack.com4 min read