The study explores aligning language models to desirable attributes, emphasizing improvement of poor outputs and aggregation of rewards learned from human preferences. This transformation technique, combined with logical conjunction, demonstrates substantial improvements in aligning language models to be helpful and harmless using Reinforcement Learning from Human Feedback (RLHF). The findings emphasize effective multi-objective optimization to…

Midjourney offers anthropomorphic prompts such as anthropomorphic animals like scholar owl, adventurous squirrel, fox thief, barista cat, and pilot dog. Also, prompts for anthropomorphic objects like vintage camera, teacup, car, bull, and lamp are available. With the prompts, one can create various lively and realistic images using Midjourney.

Advanced design tools have revolutionized multimedia and visual design, particularly through instruction-based image editing and the introduction of Multimodal Large Language Models (MLLMs). Researchers from UC Santa Barbara and Apple have developed Multimodal Large Language Model-Guided Picture Editing (MGIE) to enhance image alteration. The study underscores the significance of expressive instructions for improved editing performance.

DCNNs have revolutionized computer vision tasks, but their high energy consumption presents sustainability challenges. Researchers are enhancing DCNN efficiency by introducing PDC and Bi-PDC to capture higher-order local information. These methods improve edge detection and image recognition while maintaining efficiency, as demonstrated through experimental evaluations. Future research aims to optimize the application of these techniques…

Nvidia CEO Jensen Huang advocated for sovereign AI efforts at the World Government Summit in Dubai, emphasizing the need for nations to develop their own infrastructure. He highlighted Nvidia’s success in democratizing AI and discussed plans to produce custom AI chips. Huang also addressed concerns about AI’s impact and investment in AI hardware.

Google researchers introduced TimesFM, a single forecasting model pre-trained on a large time-series corpus, aiming to improve time series forecasting. The model, based on a patched-decoder style attention mechanism, achieves strong zero-shot forecasting performance and outperforms existing models in efficiency and parameter size, showing promise for reducing training data and computational requirements in this field.…

Technological advancements in audio generation, particularly in high-fidelity synthesis, have led to increased demand for realistic audio experiences. New model EVA-GAN addresses challenges in audio production, leveraging GANs and neural vocoders. With a novel Context Aware Module and Human-In-The-Loop evaluation, EVA-GAN outperforms existing models, significantly improving high-fidelity audio synthesis.

This paper introduces the groundbreaking Infini-gram, which modernizes traditional n-gram language models by leveraging trillion-token training data. It challenges historical constraints on n, introducing the concept of an ∞-gram LM and demonstrating its potential to complement neural language models, yielding improved predictive accuracy and efficiency. The paper outlines Infini-gram’s implications and applications across diverse neural…

LLMWare has launched SLIMs, small language models that generate structured outputs suitable for programmatic handling and tackle multi-step automation challenges in private cloud environments. These SLIMs complement general-purpose LLMs and are designed for enterprise use cases, demonstrating LLMWare’s commitment to advancing small language models for complex workflows. For more details, visit llmware’s GitHub repository or…