The Daily Index — Wednesday, January 31, 2024 · TLDR Index

HEADLINES & LAUNCHES

TLDR AI

TLDR AI

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.com · 2 min

TLDR AI

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.com · 2 min

TLDR AI

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.com · 12 min

TLDR AI

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.org · 31 min

TLDR AI

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.org · 13 min

TLDR AI

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.com · 12 min

TLDR AI

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.org · 19 min

TLDR AI

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.com · 4 min

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