Visual Language Models (VLMs) have proven instrumental in tasks such as image captioning and visual question answering. However, the efficiency of these models is often hampered by challenges such as data scarcity, high curation costs, lack of diversity, and noisy internet-sourced data. To combat these setbacks, researchers from Google DeepMind have introduced Synth2, a method…
Machine learning (ML) workflows have become increasingly complex and extensive, prompting a need for innovative optimization approaches. These workflows, vital for many organizations, require vast resources and time, driving up operational costs as they adjust to various data infrastructures. Handling these workflows involved dealing with a multitude of different workflow engines, each with their own…
In the realm of artificial intelligence, notable advancements are being made in the development of language agents capable of understanding and navigating human social dynamics. These sophisticated agents are being designed to comprehend and react to cultural nuances, emotional expressions, and unspoken social norms. The ultimate objective is to establish interactive AI entities that are…
Google Research has recently launched FAX, a high-tech software library, in an effort to improve federated learning computations. The software, built on JavaScript, has been designed with multiple functionalities. These include large-scale, distributed federated calculations along with diverse applications including data center and cross-device provisions. Thanks to the JAX sharding feature, FAX facilitates smooth integration…
In the field of digital replication of human motion, researchers have long faced two main challenges: the computational complexities of these models, and capturing the intricate, fluid nature of human movement. Utilising state space models, particularly the Mamba variant, has yielded promising advancements in handling long sequences more effectively while reducing computational demands. However, these…
The Retrieval Augmented Generation (RAG) approach is a sophisticated technique employed within language models that enhances the model's comprehension by retrieving pertinent data from external sources. This method presents a distinct challenge when evaluating its overall performance, creating the need for a systematic way to gauge the effectiveness of applying external data in these models.
Several…
Large language models (LLMs), exemplified by dense transformer models like GPT-2 and PaLM, have revolutionized natural language processing thanks to their vast number of parameters, leading to record levels of accuracy and essential roles in data management tasks. However, these models are incredibly large and power-intensive, overwhelming the capabilities of even the strongest Graphic Processing…
Artificial General Intelligence (AGI) advancement has been tied to successful interaction with complex scenarios and tasks using large multimodal models (LMMs) and advanced tools. In this process, one stumbling block is the difficulty of generalizing across different scenarios due to significant differences in observations and actions required across settings. Experts have proposed leveraging the General…
Machine learning, in particular large language models (LLMs), is seeing rapid developments. To stay relevant and effective, LLMs, which support a range of applications from language translation to content creation, must be regularly updated with new data. Traditional methods of update, which involve retraining the models from scratch with each new dataset, are not only…
Anthropic, a research company, has announced the release of 'Claude 3 Haiku', the fastest and most cost-effective model in its AI intelligence class. Featuring advanced visual capabilities and superior performance, Haiku marks a significant development in AI technology and offers a flexible solution for a variety of enterprise applications.
Performance is a key factor for data-driven…
In an age defined by technological innovation, the race to perfect Artificial Intelligence (AI) capable of navigating and understanding three-dimensional environments mirroring human capabilities is on. The goal is to develop AI agents that can comprehend and execute complex instructions, thereby bridging the divide between human language and digital actions.
In this arena of innovation,…
In today's digital age, accurately identifying file types is critical for security and safety. But with the growing complexity and variety of file formats, this task becomes increasingly challenging. The current solutions often lack precision and recall, leading to inaccuracies in file type detection.
Addressing this challenge is Magika, a new tool powered by Artificial Intelligence…