Artificial Intelligence
AI’s pervasive role has raised concerns about the amplification of biases. A recent study reveals covert racism in language models, particularly in their negative associations with African American English (AAE) speakers. The research emphasizes the pressing need for novel strategies to address linguistic prejudice and ensure equitable AI technology. Read the full post on MarkTechPost.
Peking University and Alibaba Group developed FastV to tackle inefficiencies in Large Vision-Language Models’ attention computation. FastV dynamically prunes less relevant visual tokens, significantly reducing computational costs without compromising performance. This improves the computational efficiency and practical deployment of LVLMs, offering a promising solution to resource constraints in real-world applications.
Researchers have encountered significant challenges in developing drugs for Idiopathic Pulmonary Fibrosis and renal fibrosis due to their complex pathogenesis and lack of effective treatments. However, utilizing AI, they identified TNIK as a promising anti-fibrotic target and developed the inhibitor INS018_055, showing favorable properties and efficacy in preclinical and clinical studies. This innovative approach offers…
The demand for advanced, scalable, and versatile tools in software development continues to grow. Meeting these demands requires overcoming significant challenges such as handling vast amounts of data and providing flexible, user-friendly interfaces. C4AI Command-R, a groundbreaking 35-billion parameter generative model developed by Cohere and Cohere For AI, effectively addresses these challenges with its unique…
In data science and AI, embedding entities into vector spaces enables numerical representation, but a study by Netflix Inc. and Cornell University challenges the reliability of cosine similarity, revealing its potential for arbitrary and misleading results. Regularization impacts similarity outcomes, highlighting the need to critically evaluate such metrics and consider alternative approaches.
The Large Language Models (LLMs) have remarkable capabilities in various domains like content generation, question-answering, and mathematical problem-solving, challenging the need for extensive pre-training. A recent study demonstrates that the LLaMA-27B model displays outstanding mathematical abilities and proposes a supervised fine-tuning method to enhance accuracy, offering insights into scaling behaviors. The study’s findings suggest that…
We’ve teamed up with Le Monde and Prisa Media to provide French and Spanish news content for ChatGPT.
Google DeepMind has developed a new AI agent named SIMA, which can play various games, including those it has never encountered before, such as Goat Simulator 3. The agent can follow text commands to play seven different games and navigate in 3D environments, showing potential for more generalized AI and skill transfer across multiple environments.
Summary: SIMA is a Scalable Instructable Multiworld Agent being introduced.
DeepSeek-AI introduces DeepSeek-VL, an open-source Vision-Language (VL) Model. It bridges the gap between visual data and natural language, showcasing a comprehensive approach to data diversity and innovative architecture. Performance evaluations highlight its exceptional capabilities, marking pivotal advancements in artificial intelligence. This model propels the understanding and application of vision-language models, paving the way for new…
01.AI has introduced the Yi model family, a significant advancement in artificial intelligence. The models demonstrate a strong ability to understand and process language and visual information, bridging the gap between the two. With a focus on data quality and innovative model architectures, the Yi series has shown remarkable performance and practical deployability on consumer-grade…
Researchers have developed an innovative framework leveraging AI to seamlessly integrate visual and audio content creation. By utilizing existing pre-trained models like ImageBind, they established a shared representational space to generate harmonious visual and aural content. The approach outperformed existing models, showcasing its potential in advancing AI-driven multimedia creation. Read more on MarkTechPost.
Researchers from The Chinese University of Hong Kong, Microsoft Research, and Shenzhen Research Institute of Big Data introduce MathScale, a scalable approach utilizing cutting-edge LLMs to generate high-quality mathematical reasoning data. This method addresses dataset scalability and quality issues and demonstrates state-of-the-art performance, outperforming equivalent-sized peers on the MWPBENCH dataset. For more details, see the…
Multimodal Large Language Models (MLLMs), especially those integrating language and vision modalities (LVMs), are revolutionizing various fields with their high accuracy, generalization capability, and robust performance. MiVOLOv2, a state-of-the-art model for gender and age determination, outperforms general-purpose MLLMs in age estimation. The research paper evaluates the potential of neural networks, including LLaVA and ShareGPT.
Large language models (LLMs) strive to mimic human-like reasoning but often struggle with maintaining factual accuracy over extended tasks, resulting in hallucinations. “Retrieval Augmented Thoughts” (RAT) aims to address this by iteratively revising the model’s generated thoughts with contextually relevant information. RAT enhances LLMs’ performance across diverse tasks, setting new benchmarks for AI-generated content.
Modeling Collaborator introduces a user-in-the-loop framework to transform visual concepts into vision models, addressing the need for user-centric training. By leveraging human cognitive processes and advancements in language and vision models, it simplifies the definition and classification of subjective concepts. This democratization of AI development can revolutionize the creation of customized vision models across various…
MAGID is a groundbreaking framework developed by the University of Waterloo and AWS AI Labs. It revolutionizes multimodal dialogues by seamlessly integrating high-quality synthetic images with text, avoiding traditional dataset pitfalls. MAGID’s process involves a scanner, image generator, and quality assurance module, producing engaging and realistic dialogues. It bridges the gap between humans and machines,…
Recent research delves into the linear concept representation in Large Language Models (LLMs). It challenges the conventional understanding of LLMs and proposes that the simplicity in representing complex concepts is a direct result of the models’ training objectives and inherent biases of the algorithms powering them. The findings promise more efficient and interpretable models, potentially…
Advancements in neuroscience continue to overwhelm researchers with an ever-growing volume of data. This challenge has been met with the development of BrainGPT, an advanced AI model that outperforms human experts in predicting neuroscience outcomes. Its superior predictive capabilities offer a promising avenue for accelerating scientific inquiry beyond cognitive limitations. For more details, refer to…
Advancements in Reinforcement Learning from Human Feedback and instruction fine-tuning are enhancing Language Model’s (LLM) capabilities, aligning them more closely with human preferences and making complex behaviors more accessible. Expert Iteration is found to outperform other methods, bridging the performance gap between pre-trained and supervised fine-tuned LLMs. Research indicates the importance of RL fine-tuning and…