Mental illness constitutes a critical public health issue globally with one in eight people affected and many lacking access to adequate treatment. Mental health professional training often contends with a significant difficulty: the disconnection between formal education and real-world patient interactions. A potential solution to this problem might lay in the use of Large Language…
The world of computer vision and graphics is constantly seeking the perfection of 3D reconstruction from 2D image inputs. Neural Radiance Fields (NeRFs), while effective at rendering photorealistic views from new perspectives, fall short in reconstructing 3D scenes from 2D projections, an important feature for augmented reality (AR), virtual reality (VR) and robotic perception. Traditional…
Researchers focused on Multimodal Large Language Models (MLLMs) are striving to enhance AI's reasoning capabilities by integrating visual and textual data. Even though these models can interpret complex information from diverse sources such as images and text, they often struggle with complicated mathematical problems that contain visual content. To solve this issue, researchers are working…
Setting up and configuring Retrieval-Augmented Generation (RAG) applications in enterprise environments can be a complicated process. Enterprises often struggle with understanding the complexities involved, particularly when dealing with the variations of different cloud platforms and the need for ensuring robust security.
OpenAI’s custom Generative Pretrained Transformers (GPTs) offer options that can simplify the configuration process, but…
Software development is known to be a demanding and time-intensive task. Developers regularly encounter difficulties in managing project structures, writing and reading files, searching for best practices online, and enhancing code quality. While certain IDEs (Integrated Development Environments) provide aid with syntax highlighting, debugging tools, and project management features, they often require more sophisticated abilities,…
Natural language processing (NLP) is an artificial intelligence field focused on the interaction between humans and computers using natural human language. It aims to create models that understand, interpret, and generate human language, thereby enabling human-computer interactions. Applications of NLP range from language translation to sentiment analysis and conversational agents. However, despite advancements, language models…
Arcee AI has introduced Arcee Spark, a potent language model comprising 7 billion parameters. This model's launch signifies a pivotal shift in the natural language processing (NLP) landscape towards smaller, more efficient models. Arcee Spark surpasses larger models like GPT-3.5 and Claude 2.1 in performance, thereby arguing the efficacy of smaller models.
Arcee Spark's smaller size…
In response to a call for research proposals on generative AI issued last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart received an overwhelming response from the MIT research community. The initiative resulted in the submission of 75 proposals, with 27 receiving seed funding.
Gaining significant insight from the quality of ideas received, they issued…
Amazon's SageMaker is a machine learning (ML) platform offering a comprehensive toolkit for building, deploying, and managing ML models at scale. This platform optimizes the development and deployment process of ML solutions for developers and data scientists.
AWS aids in this innovation by providing services that simplify infrastructure management tasks such as provisioning, scaling, and resource…
Efficient automated customer service is a goal for many businesses, and AI-powered chatbots can provide human-like interactions without the need for live agents. This frees up the agents for more complex tasks. Among these AI-powered tools are Amazon Lex and Amazon Bedrock. Lex offers advanced conversational interfaces, utilizing voice and text channels to provide accurate…
Tash Etschmann was an early adopter of TikTok and has accumulated a net worth of over $500,000 in four years. Etschmann leverages her social media fame to educate her fellow young Australians about personal finance. Etschmann's early exposure to money management and her work experience across various sectors before becoming self-employed largely inform her finance…