Generative AI models, such as Stable Diffusion XL (SDXL), enable the creation of high-quality, realistic content with wide-ranging applications. However, harnessing the power of such models presents significant challenges and computational costs. SDXL is a large image generation model whose UNet component is about three times as large as the one in the previous version of the model. Deploying a model like this in production is challenging due to the increased memory requirements, as well as increased inference times. Today, […]

Gradio is a popular Python library for creating interactive machine learning apps. Traditionally, Gradio applications have relied on server-side infrastructure to run, which can be a hurdle for developers who need to host their applications. Enter Gradio-lite (@gradio/lite): a library that leverages Pyodide to bring Gradio directly to your browser. In this blog post, we’ll explore what @gradio/lite is, go over example code, and discuss the benefits it offers for running Gradio applications. What is @gradio/lite?    

Stable Diffusion XL (SDXL) is the latest latent diffusion model by Stability AI for generating high-quality super realistic images. It overcomes challenges of previous Stable Diffusion models like getting hands    

RLHF / ChatGPT has been a popular research topic these days. In our quest to research more on RLHF, this blog post attempts to do a reproduction of OpenAI’s 2019 original RLHF codebase at openai/lm-human-preferences. Despite its “tensorflow-1.x-ness,” OpenAI’s original codebase is very well-evaluated and benchmarked, making it a good place to study RLHF implementation engineering details. We aim to: reproduce OAI’s results in stylistic tasks and match the learning curves of openai/lm-human-preferences. present a checklist of implementation details, similar […]

In the ever-evolving landscape of programming and software development, the quest for efficiency and productivity has led to remarkable innovations. One such innovation is the emergence of code generation models such as Codex, StarCoder and    

As part of our Enterprise Hub plan, we recently released support for Storage Regions. Regions    

In the fast-moving world of Natural Language Processing (NLP), we often find ourselves comparing different language models to see which one works best for specific tasks. This blog post is all about comparing three models: RoBERTa, Mistral-7b, and Llama-2-7b. We used them to tackle a common problem – classifying tweets about disasters. It is important to note that Mistral and Llama 2