Artificial Intelligence
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…
BRAIN, an LA-based ad agency, launched Goody-2, described as the world’s most responsible AI model and “outrageously safe”. Although it playfully declines to answer certain questions, it highlights the potential impact of overly stringent alignment principles on AI functionality. While Goody-2 is comedic, it sheds light on the balance needed in AI development.
The FCC has banned the use of AI-generated voices in robocalls to consumers, following a scandal involving a fake President Biden voice. FCC Chairwoman Jessica Rosenworcel warned of robocall fraud and misinformation. The ruling also sets limits on using AI voices to interact with consumers and exempts civil services and politicians for non-commercial use.
Nomic AI introduces Nomic Embed, an open-source, auditable text embedding model with an 8192 context length. It outperforms closed-source models like OpenAI’s text-embedding-ada-002, emphasizing transparency and reproducibility. Nomic Embed is built through a multi-stage contrastive learning pipeline, achieving superior performance on benchmarks. This release marks a significant advancement in the field of text embeddings.
Researchers introduce SCALEEVAL, a framework utilizing multiple LLM agents engaging in agent-debate to evaluate LLMs as responders. It reduces reliance on costly human annotation, balancing efficiency and human judgment for accurate assessments. It exposes effectiveness and limitations of LLMs in varied scenarios, advancing scalable evaluation methods crucial for expanding LLM applications.
Pinterest researchers have introduced a reinforcement learning framework to fine-tune diffusion models, addressing issues like bias and fairness. The method outperforms existing models, demonstrating generality, robustness, and the ability to generate diverse images. It achieved better results across various tasks and encourages further research to enhance diffusion models. [50 words]
Graph Transformers face scalability challenges due to high computational costs. Existing methods fail to adequately address data-dependent contexts. Graph Neural Networks have introduced innovations like BigBird and Performer to reduce computational demands. Researchers have introduced Graph-Mamba, integrating a selective State Space Model into the GraphGPS framework, promising significant improvements in computational efficiency and scalability.
Large Language Models (LLMs) like ChatGPT and Llama have shown remarkable performance in AI applications, but concerns about misuse and security vulnerabilities persist. Researchers have introduced the concept of weak-to-strong jailbreaking attacks, which exploit weaker models to manipulate larger ones. Token Distribution Fragility Analysis and Experimental Validation aim to address these vulnerabilities. For more details,…
Large Vision-Language Models (LVLMs) bridge visual perception and language processing. Huawei researchers address the challenge of hallucinations in LVLMs, proposing innovative strategies and interventions. Refinements in data processing and model architecture enhance accuracy and reliability, reducing hallucinations. The study emphasizes the need for continued innovation to realize LVLMs’ full potential in interpreting and narrating the…
There’s a shift towards creating powerful and efficient language models for real-world use, dealing with computational constraints and domain-specific needs. Apple researchers propose hyper-networks and mixtures of experts as solutions, achieving high performance with less computational cost. This research promises to expand AI applicability in resource-constrained environments. For more details, refer to the paper.
Large language models (LLMs) are improving computer code generation in AI, but struggle to meet human programmers’ nuanced needs. StepCoder, a new reinforcement learning framework, offers a solution. It employs Curriculum of Code Completion Subtasks (CCCS) and Fine-Grained Optimization (FGO) to explore and optimize code generation, yielding functionally accurate and aligned code. This innovation has…
Midjourney is considering banning AI-generated images of Joe Biden and Donald Trump before the 2024 US elections to prevent misinformation. CEO David Holz expressed ambivalence about producing Trump images, citing potential disruption to the election. The use of AI in politics has raised concerns about deep fakes and misinformation, prompting companies like OpenAI and Meta…