ML Times
Aug 15, 2024
Artists Score Major Win in Copyright Case Against AI Art Generators
A federal judge has allowed key copyright and trademark claims to proceed in a lawsuit by artists against AI art generators, marking a significant development in the legal battle over the use of copyrighted images to train AI.
We have discovered antibiotics in the global microbiome with AI, ask us anything
Researchers have discovered nearly 1 million new antibiotic molecules in the global microbiome, leveraging machine learning to mine through 63,410 metagenomes and 87,920 microbial genomes. Read the study
YouTube Video to Tabs and Lyrics
Fish is an AI-powered multimodal project that generates chords, beats, lyrics, melody, and tabs for any song, leveraging a transformer-based hybrid model to address music information retrieval challenges.
Gemlite: Towards Building Custom Low-Bit Fused CUDA Kernels
Gemlite is introduced as a toolkit for developers to easily create custom low-bit fused General Matrix-Vector Multiplication (GEMV) CUDA kernels, aiming to simplify the process of implementing quantization-aware runtime for AI models on GPUs.
Launch HN: Hamming (YC S24) – Automated Testing for Voice Agents
Hamming introduces an automated testing service for LLM voice agents, aiming to streamline the iterative process of improving voice agent performance by simulating challenging user interactions.
[R] I've devised a potential transformer-like architecture with O(n) time complexity, reducible to O(log n) when parallelized.
The Equinox architecture employs a divide and compute method to achieve a time complexity of O(n), which can be further reduced to O(log n) through parallelization, suggesting a significant efficiency improvement over traditional transformer models.
[R] Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2
Gemma Scope introduces an open suite of JumpReLU Sparse Autoencoders (SAEs) trained across various layers of Gemma 2 models, aiming to democratize access to advanced neural network interpretability tools.
Hermes 3: The First Fine-Tuned Llama 3.1 405B Model
Hermes 3, developed by Nous Research and hosted on Lambda's Cloud, represents the first full-parameter fine-tune of Meta's Llama 3.1 405B model, boasting exceptional reasoning capabilities and designed for the open-source community.
[R] New Paper on Mixture of Experts (MoE) 🚀
The new paper on Mixture of Experts (MoE) delves into advancements in balancing computational efficiency with high performance in AI systems, addressing current challenges and future directions.
[P] New open-source release: SOTA multimodal embedding models for fashion
Marqo-FashionCLIP & Marqo-FashionSigLIP, new open-source multimodal models, have outperformed existing SOTA models like FashionCLIP2.0 and OpenFashionCLIP on 7 fashion evaluation datasets including DeepFashion and Fashion200K by up to 57%.
Detecting Sign Language in News Videos
The Hand-Signer detection model developed by Vrroom's team can identify sign language communicators in crowded news videos, marking a significant step towards creating a large-scale dataset for bi-directional translation between English and Indian Sign Language (ISL). Longtail AI Foundation
[R] Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters
Scaling test-time computation in Large Language Models (LLMs) can significantly enhance performance on complex prompts, suggesting a pivotal shift towards more compute-efficient strategies for improving LLM outputs.
ALS Stole His Voice. A.I. Retrieved It
Casey Harrell, suffering from A.L.S., regained the ability to communicate through a brain-computer interface that translates his intended speech into an A.I.-powered voice, closely mimicking his own.
[R] AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation
AgentGen enhances LLM-based agents' planning abilities by automating the synthesis of diverse environments and planning tasks, moving beyond the limitations of manually designed tasks.
[R] LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging (ICML 2024)
LayerMerge innovatively reduces CNN and diffusion model depth by pruning and merging both convolution and activation layers, maintaining performance while enhancing efficiency. Paper