Researchers have shed light on a new attack that could expose large language models, such as GPT-4, Claude 2, or Gemini, by mimicking their behavior and potentially compromising their data. Because these models are often kept under wraps due to competitive pressures and security concerns, there's been ongoing debate about whether they could be targeted…
Recent research from a team of Apple researchers has assessed the limitations of Vision-Language Models (VLMs). VLMs, including OpenAI's GPT4-V, have seen substantial improvements recently, showing impressive performance across various vision-language tasks. However, the researchers found a significant difference between the high performance of Large Language Models (LLMs) in text-based tasks and VLMs' capability in…
In the field of 3D generative AI, a new dimension has emerged whereby 3D reconstruction can occur from limited views. Propelled by large-scale 3D datasets and advances in generative model topologies, research has been spearheaded into using 2D diffusion models to create 3D objects from input texts or photos. This is primarily to address the…
AI applications have gained significant traction, and for a good reason. Python, among other tools, makes it easier for businesses to create and deploy these applications. This article presents a detailed guide on creating an AI application using Python in 10 easy steps.
Start with defining the problem you’d like to solve with AI. Whether it’s…
Two-way matching, also known as purchase order matching, is a crucial business finance process that verifies purchase order (PO) details against invoice details before authorizing payment. The goal is to ensure that the products or services ordered were delivered accurately and at the agreed-upon prices, ensuring no overpayments or payments for undelivered goods/services. This process…
Linear regression, a common teaching tool in data science, can be ineffective in complex modeling scenarios. This article introduces a solution to improve the application: penalization or regularization techniques, specifically, the elastic net regression. This method involves using a blend of ridge and lasso regression penalties.
Ridge and lasso regression are regularization methods used in data…
In the software development world, code review and approval are vital steps for ensuring software quality, functionality, and security. However, managers often face challenges with these processes, including lack of technical expertise, time constraints, high volumes of change requests, manual effort requirements, and necessary documentation. Generative artificial intelligence (AI) combined with AWS deployment tools and…
Artificial intelligence (AI) experts from Amazon and the PGA Tour have developed a prototype virtual assistant that uses large language models (LLMs) and the Retrieval-Augmented-Generation (RAG) framework to provide real-time, interactive data and information to fans. This post summarises a project that involved the AWS Generative AI Innovation Center, AWS Professional Services and the PGA…
The British Royal Family is dealing with a controversial situation involving the digitally manipulated photo of the Princess of Wales, Kate Middleton, and her children. Kate issued an unusual apology for her photo editing attempt that led to critical reactions globally. This has led to CNN requesting all past photos provided by Prince William and…
Large Language Models (LLMs) have shown impressive competencies across various disciplines, from generating unique content and answering questions to summarizing large text chunks, completing codes, and translating languages. They are considered one of the most significant advancements in Artificial Intelligence (AI). It is generally assumed that for LLMs to possess considerable mathematical abilities, they need…
In data science and artificial intelligence, the practice of embedding entities into vector spaces allows for numerical representation of various objects, such as words, users, and items. This method facilitates the measurement of similarities among entities, asserting that vectors closer in space are more similar. A favored metric for identifying similarities is cosine similarity, which…