Bring this project to life Run on Paperspace We're thrilled to share that Paperspace has teamed up with SkyPilot, an innovative open-source framework tailored for running LLMs, AI tasks, and batch jobs across various cloud platforms. This partnership aims to revolutionize your development journey by offering enhanced efficiency and cost savings, especially when it comes to tasks like model training, fine-tuning, and deployment. With this collaboration, you can expect smoother workflows and improved resource management, empowering you to achieve your goals with greater ease and effectivenes ..read more

Add speed and simplicity to your Machine Learning workflow today Get startedTalk to an expert These days many software engineers and whole companies are using AI coding assistants to automate boilerplate code for product listings, allowing developers to work on more complex features. Recently, Devin (the world's first fully autonomous AI software engineer) was launched. It's designed to handle a wide range of coding tasks, from generating lines of code based on prompts to debugging, deploying applications, and even learning new technologies to solve novel challenges. Other examples of compe ..read more

Bring this project to life Run on Paperspace CLIP, has been a tool for text-image tasks, widely known for zero-shot classification, text-image retrieval and much more. However, the model has certain limitations due to its short text input, which is restricted to 77. Long-CLIP, released in 22 March 2024, addresses this by supporting longer text inputs without sacrificing its zero-shot performance. This improvement comes with challenges like maintaining original capabilities and costly pretraining. Long-CLIP offers efficient fine-tuning methods, resulting in significant performance gains ov ..read more

Bring this project to life Run on Paperspace The recent paper on MIGC: Multi-Instance Generation Controller for Text-to-Image Synthesis, released on 24 February 2024, introduces a new task called Multi-Instance Generation (MIG). The goal here is to create multiple objects in an image, each with specific attributes and positioned accurately. The novel approach, Multi-Instance Generation Controller (MIGC), breaks down this task into smaller parts and uses an attention mechanism to ensure precise rendering of each object. Next, these rendered objects are combined to create the final image. A ..read more

In the past few months, Google has introduced its Gemini models—large and mid-sized models meant for complex tasks. Gemma is part of the Gemini AI family, aimed at making AI development accessible and safe. This newly launched Gemma, however, is a lightweight, smaller model aimed at helping developers worldwide build AI responsibly, in compliance with Google’s AI principles.  This article will explore the Gemma model, training processes, and performance comparison across various benchmarks. It also includes a code demo to implement the Gemma model and other project ideas that can be imp ..read more

Bring this project to life Run on Paperspace This blog post presents TripoSR, a novel 3D reconstruction model utilizing transformer architecture to achieve rapid feed-forward 3D image generation introduced by Stability AI.TripoSR is capable of producing a 3D mesh from a single image in less than 0.5 seconds. Built upon the foundation of the Large reconstruction model (LRM) network architecture, TripoSR incorporates significant enhancements in data processing, model design, and training methodologies. Evaluations conducted on publicly available datasets demonstrate that TripoSR outperforms ..read more

LLaVA-1.5 was released as an open-source, multi-modal language model on October 5th, 2023. This was great news for AI developers because they could now experiment and innovate with multi-modals that can handle different types of information, not just words, using a completely open-sourced model. This article will show the capability of the LLaVA model on Paperspace Gradient. Paperspace acts as the engine for providing the computing power - for anyone looking to dive into the world of advanced AI without needing to purchase and setup their own GPU powered machine. This article explores the LLa ..read more

Bring this project to life Run on Paperspace Introduction YOLO-World a SOTA model joins the YOLO series, now whats new if we ask! This new model can perform object detection on (allegedly) any object without the need to train the model. Now that's something new and incredible! With Paperspace get access to the powerful GPUs, we get a decent FPS when working with real-time object detection. GPUs, such as NVIDIA with CUDA, work with optimized libraries and frameworks specifically designed for deep learning tasks. These libraries leverage the parallel architecture of GPUs and offer efficient ..read more

Bring this project to life Run on Paperspace Overview The ongoing trend in recent Large Language Models (LLMs) development has focussed attention on larger models, often neglecting the practical requirements of on-device processing, energy efficiency, low memory footprint, and response efficiency. These factors are critical for scenarios that prioritize privacy, security, and sustainable deployment. Mobillama, a compact model is a paradigm shift towards "less is more", by tackling the challenge of crafting Small Language Models (SLMs) that are both accurate and efficient for resource-cons ..read more

Bring this project to life Run on Paperspace Object detection is a technology in the field of computer vision, which enables machines to identify and locate various objects within digital images or video frames. This process involves not only recognizing the presence of objects but also precisely drawing specific boundaries around the object. Object detection finds extensive applications across multiple industries, from enhancing surveillance systems and autonomous vehicles to healthcare and retail domain. This powerful technology is the stepping stone of transforming how machines perceive ..read more