AI debate regarding smartness, safety and consciousness is heating up. An AI called Claude 3 Opus intrigued many with its interactive capability rekindling discussions on AI sentience. Critics question whether phrases such as “I think, therefore I am,” can be applicable to AI. On the business side, staff from Inflection AI has joined Microsoft Copilot,…
In the field of Natural Language Processing (NLP), optimizing the Retrieval-Augmented Generation (RAG) pipeline often presents a significant challenge. Developers strive to strike the right balance among various components such as large language models (LLMs), embeddings, query transformations, and re-rankers in order to achieve optimal performance. With a lack of effective guidance and user-friendly tools,…
Open foundation models like BERT, CLIP, and Stable Diffusion signify a new era in the technology space, particularly in artificial intelligence (AI). They provide free access to model weights, enhancing customization, and accessibility. While this development brings benefits to innovation and research, it also introduces fresh risks and potential misuse, which has initiated a critical…
Machine Learning (ML) and Artificial Intelligence (AI) are fields that have made significant progress due to the use of larger neural network models and training these models on massive data sets. This progression has occurred through data and model parallelism techniques and pipelining methods, which distribute computational tasks across multiple devices at the same time.
Despite…
Researchers from several esteemed institutions, including DeepWisdom, have launched a groundbreaking tool for data science problem-solving called the Data Interpreter. This solution leverages Large Language Models (LLMs) to address intricate challenges in the field of data science, marking a novel approach to navigating the vast and ever-changing data world. The Data Interpreter was conceived through…
GitHub, a popular platform that provides hosting for software development and version control using Git, recently launched its code scanning autofix feature, a significant development in the world of digital security. Available to all GitHub Advanced Security customers, the new feature merges GitHub's Copilot real -time support with the analytical abilities of its semantic code…
Optical flow estimation aims to analyze dynamic scenes in real-time with high accuracy, a critical aspect of computer vision technology. Previous methods of attaining this have often stumbled upon the problem of computational versus accuracy. Though deep learning has improved the accuracy, it has come at the cost of computational efficiency. This issue is particularly…
Reinforcement Learning from Human Feedback (RLHF) is a technique that improves the alignment of Pretrained Large Language Models (LLMs) with human values, enhancing their usefulness and reliability. However, training LLMs with RLHF is a resource-intensive and complex task, posing significant obstacles to widespread implementation due to its computational intensity.
In response to this challenge, several methods…
Generative artificial intelligence (AI) possesses great potential but equally great risks if misused or overestimated, warned Rodney Brooks, co-founder of iRobot, at MIT’s "Generative AI: Shaping the Future" symposium. The event kicked off the university's Generative AI Week on 28 November and attracted hundreds of academia and industry representatives to the institution's Kresge Auditorium. Generative…
The logistics of delivering holiday packages by companies such as FedEx requires specialized software for efficient routing, given the immense complexity of the optimization problem. The software currently in use, known as a mixed-integer linear programming (MILP) solver, often takes days to arrive at a solution, and even then, the companies have to accept solutions…
Artificial intelligence (AI) can significantly improve the success rates of B2B cold emails by crafting compelling narratives individualised for each recipient. AI not only can create better language and messaging, but it can also provide insights into the needs and challenges of the receiver. This considerably enhances the effectiveness of emails and encourages communication.
AI tools…