Meta AI Introduces Chameleon: A New Family of Early-Fusion Token-based Foundation Models that Set a New Bar for Multimodal Machine Learning

The article discusses the challenges and advancements in 3D instance segmentation, specifically in an open-world environment. It highlights the need for identifying unfamiliar objects and proposes a method for progressively learning new classes without retraining. The…

BrainChip has introduced the second-generation Akida platform, a breakthrough in Edge AI that provides edge devices with powerful processing capabilities and reduces dependence on the cloud. The platform features Temporal Event-Based Neural Network (TENN) acceleration and…

Researchers from Meta have introduced Retrieval-Augmented Dual Instruction Tuning (RA-DIT), a lightweight fine-tuning methodology to equip large language models (LLMs) with efficient retrieval capabilities. RA-DIT operates through two stages, optimizing the LLM’s use of retrieved information…

Large Language Models (LLMs) are revolutionizing natural language processing by leveraging vast amounts of data and computational resources. The capacity to process long-context inputs is a crucial feature for these models. However, accessible solutions for long-context…

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…

The increasing presence of AI models in our lives has raised concerns about their limitations and reliability. While AI models have built-in safety measures, they are not foolproof, and there have been instances of models going…

The past few months have seen a reduction in the size of generative models, making personal assistant AI enabled through local computers more accessible. To experiment with different models before using an API model, you can…

The QWEN series of large language models (LLMs) has been introduced by a group of researchers. QWEN consists of base pretrained language models and refined chat models. The models demonstrate outstanding performance in various tasks, including…

Action recognition is the process of identifying and categorizing human actions in videos. Deep learning, especially convolutional neural networks (CNNs), has greatly advanced this field. However, challenges in extracting relevant video information and optimizing scalability persist.…

The UK’s Information Commissioner’s Office (ICO) is investigating Snapchat’s AI chatbot, “My AI,” for potential privacy risks to its younger users. The ICO expressed concerns about Snapchat overlooking the privacy dangers the chatbot may pose to…

Transformers have revolutionized generative tasks in artificial intelligence, allowing machines to creatively imagine and create. This article explores the advanced applications of transformers in generative AI, highlighting their significant impact on the field.

The latest advancements in AI and machine learning have shown the effectiveness of large-scale learning from varied datasets in developing AI systems. Despite challenges in collecting comparable datasets for robotics, a team of researchers has proposed…