TLDR AI 2023-10-25

GENERATIVE AI

OPENAI PLANS MAJOR UPDATES TO LURE DEVELOPERS WITH LOWER COSTS

COMPARABLE TO CLIMATE CRISIS

IMPROVED VIDEO DIFFUSION WITH NOISE SCHEDULING

Generating a single image from a single prompt is generally fine, but fails when generating video because of the temporal changes between frames. However, consistency when changing text is quite challenging. This work tackles both of these problems and enables generations up to 512 frames long using diffusion.

INTELLIGENT AI ROBOT TRAINING

USING SEGMENT ANYTHING MODEL FOR 3D MEDICAL IMAGING

SAM-Med3D is an upgraded version of the Segment Anything Model (SAM) tailored specifically for 3D medical imaging. While the original SAM struggled with 3D medical images, SAM-Med3D, trained on a vast dataset of over 131K 3D masks, delivers superior results by capturing 3D spatial details with fewer input prompts.

ENHANCED VISUAL REASONING WITH VISION-LANGUAGE MODELS

The repo introduces Cola, a system that uses a large language model to coordinate various vision-language models (VLMs) for improved visual reasoning.

AGENTTUNING

Instruction-tune LLMs using interaction trajectories across multiple agent tasks.

DEEPSPARSE

DeepSparse is a CPU inference runtime that takes advantage of sparsity to accelerate neural network inference.

CAN OPENAI WIN CONSUMER AND ENTERPRISE?

EMOTIONAL LABOR IS HOW WE DIFFERENTIATE FROM AI

PROTOTYPING FEATURE, STUBBS

APPLE COULD SPEND $4.75B ON AI SERVERS IN 2024

CLAUDE AVAILABLE IN 95 COUNTRIES