Skip to content Skip to sidebar Skip to footer

Uncategorized

Revealing the Concealed Aspects: A Revolutionary AI Model Theft Assault on ChatGPT and Google’s PaLM-2.

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…

Read More

Apple’s AI Paper Explores the Complex Details of Machine Learning: Evaluating Vision-Language Models using Raven’s Progressive Matrices.

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…

Read More

The AI study by Stability AI and Tripo AI presents the TripoSR Model for swift FeedForward 3D formation from a single photo.

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…

Read More

Utilizing Elastic Net Regression: A Guide by Chris Taylor, March 2024.

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…

Read More

Improve the efficiency of code review and authorization using generative AI through Amazon Bedrock.

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…

Read More

The progression of PGA TOUR’s AI-powered virtual assistant, from initial idea through the development process to the finished prototype.

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…

Read More

A CNN employee is currently tasked with the job of sorting through older photos of Will and Kate to identify any forgery.

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…

Read More

This artificial intelligence research from China reveals that prevalent 7B language models are already equipped with robust mathematical abilities.

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…

Read More

Revealing the Concealed Intricacies of Cosine Similarity in Large-Scale Data: An In-depth Investigation of Linear Models and Further

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…

Read More