TLDR AI

TLDR AI 2024-01-02

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01HEADLINES & LAUNCHES

APPLE’S LLM GAP IS REAL. IT MIGHT NOT LAST MUCH LONGER

Apple, after developing the "Ferret" Large Language Model with Cornell University, is expected to reveal its approach to integrating LLMs at the next Worldwide Developers Conference, focusing on user privacy and simplicity.

joanwestenberg.com4 min read

02RESEARCH & INNOVATION

ANYTEXT VISUAL TEXT GENERATION AND EDITING

AnyText is a multilingual visual text generation and editing tool. It features a diffusion pipeline with an auxiliary latent module and a text embedding module for generating and editing text. The tool employs OCR models and tokenizer embeddings to blend texts seamlessly into backgrounds. AnyText stands out in accuracy for both Chinese and English text generation. The tool offers an online demo, installation instructions, and methodology details on its GitHub page.

github.comGitHub repository

A TRAINING-FREE APPROACH HIGH-RESOLUTION IMAGE INPAINTING

HD-Painter marks a significant advancement in text-guided image inpainting by introducing a training-free method that ensures high-resolution results and better alignment with user prompts. It utilizes innovative techniques like the Prompt-Aware Introverted Attention layer and Reweighting Attention Score Guidance, allowing for detailed inpainting up to 2K resolution.

arxiv.org15 min read

03ENGINEERING & RESOURCES

DIFFUSERS JS

A reimplementation of key HuggingFace Diffusers functionality in JavaScript to be run in the browser. Includes examples of running popular models.

github.comGitHub repository

MIXTRAL OFFLOADING

Mixtral offloading is a project focused on efficient inference of Mixtral-8x7B models on platforms like Colab or consumer desktops. It employs mixed quantization with HQQ and a MoE offloading strategy to fit the model into combined GPU and CPU memory. The project includes a demo notebook and offers online execution via Colab. It is still under development, with features like other quantization methods and speculative expert prefetching planned.

github.comGitHub repository

IMAGE SEGMENTATION WITH COMMON SENSE KNOWLEDGE

ProLab introduces a unique approach for improving image segmentation models that uses property-level labels based on common sense knowledge. By combining Large Language Models with structured prompts and a description embedding model, ProLab not only performs better on classic benchmarks but also shows promise in segmenting unknown categories, offering a more interpretable and scalable solution.

github.comGitHub repository

04MISCELLANEOUS

A CASE FOR AI ALIGNMENT BEING DIFFICULT

This analysis explores the challenges of aligning AGI with human values. It suggests that while integrating human values into AGI is complex due to differences in mind architecture and evolutionary influences, understanding the human brain and enhancing human capabilities could be key to developing AGIs that align with human values, offering potential yet challenging paths forward.

lesswrong.com18 min read

AI IS NOT CONSCIOUS

A group of 19 researchers suggested a checklist to assess AI consciousness and determined that no existing AI systems possess consciousness yet - but the creation of potentially conscious AI systems remains a technical possibility.

jurgengravestein.substack.com8 min read

HOW LEADING AI STARTUP INVESTORS APPROACHED ARTIFICIAL INTELLIGENCE IN 2023

Most investors took a wait-and-see approach, knowing full well that the big, big disruptions are coming in the form of new silicon and solutions that go beyond fun “parlor tricks”. While funds may say they have seen this coming for a long time, no one can say with a straight face how big the impact would be on the general zeitgeist.

news.crunchbase.com4 min read