Lifeboat Foundation

Generative AI is an utterly transformative technology that is already impacting how organizations and individuals work. But what does the future have in store for this incredible technology? Read on for my top predictions.

We now have generative AI tools that can see, hear, speak, read, write, or create. Increasingly, generative AIs will be able to do many of these things at once – such as being able to create text and images together. As an example, the third iteration of the text-to-image tool Dall-E is reportedly able to generate high-quality text embedded in its images, putting it ahead of rival image-generator tools. Then there was the 2023 announcement that ChatGPT can now see, hear, and speak, as well as write.

So, one of my predictions is that generative AIs will continue this move towards multi-modal AIs that can create in multiple ways – and in real-time, just like the human brain.

Meta presents Learning and Leveraging World Models in Visual Representation Learning.

Joint-Embedding Predictive Architecture (JEPA) has emerged as a promising self-supervised approach that learns by leveraging a world model.

Infimm-hd a leap forward in high-resolution multimodal understanding.

InfiMM-HD

A leap forward in high-resolution multimodal understanding.

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ByteDance presents ResAdapter Domain Consistent Resolution Adapter for Diffusion Models.

ByteDance presents ResAdapter.

Domain consistent resolution adapter for diffusion models.

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Shortgpt layers in large language models are more redundant than you expect.

ShortGPT

Layers in large language models are more redundant than you expect.

Continue reading “Paper page — ShortGPT: Layers in Large Language Models are More Redundant Than You Expect” »

We propose Strongly Supervised pre-training with ScreenShots (S4) — a novel pre-training paradigm for Vision-Language Models using data from large-scale web screenshot rendering.

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Apple presents How Far Are We from Intelligent Visual Deductive Reasoning?

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An intuitive modeling interface for infinite-dimensional optimization problems. — infiniteopt/InfiniteOpt.jl

Near 99 percent accuracy of bug patching in python programming language.

Repilot, a patch generation tool introduced in the ESEC/FSE’23 paper “Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair”