A Winding Road to Parameter Efficiency

deepsense.ai has partnered with LangChain, a framework that simplifies the development of Large Language Models (LLMs) applications. The partnership allows deepsense.ai to provide support and contribute to the LangChain community. Additionally, deepsense.ai gains exclusive access to…

Reinforcement Fine-Tuning: A New Dimension in Tailoring AI Models Introduction to Reinforcement Fine-Tuning (RFT) OpenAI has introduced Reinforcement Fine-Tuning (RFT) on its o4-mini reasoning model, a revolutionary technique that allows businesses to customize foundation models for…

Practical Solutions and Value of AMPLIFY Protein Language Model Efficient Protein Language Model Development AMPLIFY is a protein language model that focuses on data quality over scale, reducing training and deployment costs significantly. Reduced Parameters, Superior…

Introduction to LEAPS Sampling from probability distributions is a key challenge in many scientific fields. Efficiently generating representative samples is essential for applications ranging from Bayesian uncertainty quantification to molecular dynamics. Traditional methods, such as Markov…

The UK government is negotiating with tech companies, such as OpenAI, to gain a deeper understanding of their AI technologies and safety measures. Concerns have been raised about sharing confidential information, but a preliminary agreement has…

Companies are hiring creative writers to improve the writing abilities of AI models. AI-authored books lack quality, so companies like Appen and Scale AI are seeking writers to create datasets for training. The need for specific…

The Importance of Guardrails for Large Language Models (LLMs) The fast use of Large Language Models (LLMs) across industries needs strong measures to ensure they are used safely, ethically, and effectively. Here are 20 key guardrails…

“VMamba” is a new visual representation learning architecture developed by a team of researchers at UCAS, Huawei Inc., and Pengcheng Lab. It addresses the limitations of Vision Transformers (ViTs) and Convolutional Neural Networks (CNNs) by combining…

NVIDIA AI Introduces Eagle 2: A Transparent Vision-Language Model Vision-Language Models (VLMs) have enhanced AI’s capability to process different types of information. However, they face challenges like transparency and adaptability. Proprietary models, such as GPT-4V and…

New board members appointed and improvements to governance structure announced.

Understanding Collective Decision-Making in AI and Biology The study of how groups make decisions, whether in nature or through artificial systems, tackles important questions about consensus building. This knowledge is crucial for improving behaviors in animal…

LM-Guided CoT: A Novel Machine Learning Framework Introduction Chain-of-thought (CoT) prompting is a method to improve language models’ reasoning abilities. However, it has limitations, especially for smaller models. Recent research proposes LM-guided CoT, a framework that…

MeshGPT is a novel AI method developed for directly generating high-fidelity triangle meshes without conversion. It uses a GPT-based architecture with a geometric vocabulary, outperforming existing mesh generation techniques. Users prefer MeshGPT for its quality and…

Introducing Lynx: A Revolutionary Hallucination Detection Model Unparalleled Performance and Practical Solutions Patronus AI has unveiled Lynx, a state-of-the-art hallucination detection model designed to surpass existing solutions such as GPT-4 and Claude-3-Sonnet. This cutting-edge model, developed…

The text discusses the challenges in building Large Multimodal Models (LMMs) due to the disparity between multimodal data and text-only datasets. The researchers present LLaVA-RLHF, a vision-language model trained for enhanced multimodal alignment. They adapt the…

A study by Northwestern University, Tsinghua University, and the Chinese University of Hong Kong introduces a moral framework called “reason for future, act for now” (RAFA) to improve the reasoning capabilities of LLMs. They use a…

VistaLLM, a new general-purpose vision model, excels in handling coarse- and fine-grained reasoning and grounding tasks for single or multiple-input images. It employs sequence-to-sequence conversion, an instruction-guided image tokenizer, and a gradient-aware adaptive contour sampling scheme.…

Woodpecker is a new AI framework developed by Chinese researchers to address hallucinations in Multimodal Large Language Models (MLLMs). It offers a training-free alternative to mitigate inaccuracies in text descriptions generated by MLLMs. The framework consists…