How To Remove the Background From a Picture
Let’s dive into the how and why of image background removal.
Let’s dive into the how and why of image background removal.
Unity makes strength.
*Equal Contributors A dominant paradigm in large multimodal models is to pair a large language de- coder with a vision encoder. While it is well-known how to pre-train and tune language decoders for multimodal tasks, it is less clear how the vision encoder should be pre-trained. A de facto standard is to pre-train the vision …
Read more “Multimodal Autoregressive Pre-Training of Large Vision Encoders”
Companies across various scales and industries are using large language models (LLMs) to develop generative AI applications that provide innovative experiences for customers and employees. However, building or fine-tuning these pre-trained LLMs on extensive datasets demands substantial computational resources and engineering effort. With the increase in sizes of these pre-trained LLMs, the model customization process …
Read more “Accelerating Mixtral MoE fine-tuning on Amazon SageMaker with QLoRA”
In the domain of software development, AI-driven assistance is emerging as a transformative force to enhance developer experience and productivity and ultimately optimize overall software delivery performance. Many organizations started to leverage AI-based assistants, such as Gemini Code Assist, in developer IDEs to support them in solving more difficult problems, understanding unfamiliar code, generating test …
Read more “Boost your Continuous Delivery pipeline with Generative AI”
Ai2 released Tülu 3, a model that makes fine-tuning open-source LLMs easier and get its performance closer to closed LLMs like GPT-4o.Read More
Black Friday deals on Amazon devices have started early. Even the brand-new Kindle lineup is on sale.
A team of computer engineers and AI specialists at Microsoft, working with a pair of colleagues from the University of Chicago, has led to the development of a new language that allows LLMs to speak with one another more efficiently. The group has posted a paper outlining the ideas behind the new language, how it …
Read more “Microsoft collaboration develops DroidSpeak for better communication between LLMs”
Our new AI system accurately identifies errors inside quantum computers, helping to make this new technology more reliable.
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein distance is an appropriate error metric for density estimation. For example, when estimating population densities in a geographic region, a small Wasserstein distance means that the estimate is able to capture roughly where the population …
Read more “Instance-Optimal Private Density Estimation in the Wasserstein Distance”