The development of Large Language Models (LLMs), such as GPT, raises concerns about the storage and disclosure of sensitive information. Current research focuses on strategies to erase such data from models, with methods involving direct modifications to model weights. However, recent findings indicate limitations in these approaches, highlighting the ongoing challenge of fully removing sensitive…

North Korea’s increasing foray into AI and ML is highlighted in a report by Hyuk Kim from the James Martin Center for Nonproliferation Studies. It delves into the nation’s historic AI achievements, current developments, and the dual-use potential of AI in civilian and military applications, as well as highlighting its cybersecurity threats.

Coscientist is an advanced AI lab partner that autonomously plans and executes chemistry experiments, showcasing rapid learning and proficiency in chemical reasoning, utilization of technical documents, and adept self-correction.

The new release from NousResearch, Nous Hermes 2 Mixtral 8x7B, addresses challenges in AI language models. The model is trained on extensive data, demonstrating exceptional performance across various tasks and surpassing existing benchmarks. Its innovative SFT and DPO versions, along with the introduction of ChatML, make it a powerful and advanced tool in AI.

Large Language Models (LLMs), a significant breakthrough in AI, exhibit human-like abilities in Natural Language Processing (NLP) and Generation (NLG). Despite their impressive text generation capabilities, they struggle with producing factually accurate content, leading to hallucinations. To address this, researchers from the University of Washington, CMU, and Allen Institute for AI have introduced FAVA, a…

The growth of deep learning has led to its use in various fields, like data mining and natural language processing, as well as in addressing inverse imaging problems. To enhance the reliability of deep neural networks, researchers at UCLA have developed a cycle-consistency-based uncertainty quantification method, which can improve network dependability in inverse imaging and…

Recent advancements in image generation have led to the availability of top-tier models on open-source platforms. Challenges persist in text-to-image systems, but efforts to address diverse inputs and single-model outcomes are underway. Researchers have proposed DiffusionGPT, an all-encompassing generation system, showcasing superior performance across diverse prompts and domains.

Large Language Models (LLMs) have advanced in AI and NLP. Fireworks.ai introduced FireLLaVA under Llama 2 Community License, addressing restrictions of Vision-Language Model LLaVA. It supports multi-modal AI development, using OSS models for training data. FireLLaVA demonstrates better performance on benchmarks and offers vision-capable APIs, marking a significant advancement in multi-modal AI.

Google has introduced three generative AI features to revamp Chrome: Tab Organizer, Custom Themes, and “Help me write.” Tab Organizer simplifies tab management by grouping related tabs, while Chrome suggests and creates tab groups. Custom Themes allow users to create personalized themes with AI, and “Help me write” assists in drafting web content. These additions…

SPARC, a method developed by Google DeepMind, pretrains fine-grained multimodal representations from image-text pairs by using fine-grained contrastive alignment and contrastive loss between global image and text embeddings. It outperforms other approaches in image-level tasks like classification and region-level tasks such as retrieval, object detection, and segmentation, and enhances model faithfulness and captioning in foundational…