AlignEval: Building an App to Make Evals Easy, Fun, and Automated
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
109 stories
Look at and label your data, build and evaluate your LLM-evaluator, and optimize it against your labels.
Discover Stable Diffusion 3.5, the latest model from Stability.AI, now available on neural.love. Experience enhanced customizability and flexibility in AI-powered image creation.
Learn how to quickly redesign your existing banners, landing pages, or social profile pictures using neural.love's AI Image Variations tool.
Discover Creative Upscale, our latest image enhancement tool that gives you control over AI 'hallucinations'. From subtle details to mind-bending transformations, the power is in your hands.
As a leading GenAI startup specializing in AI-powered creative tools for content creators, we feel compelled to address an important issue affecting the Internet: the need for clear identification of AI-generated content in search results.
Discover neural.love's cutting-edge AI tools for removing and replacing image backgrounds. Transform your visuals with unparalleled speed and precision for e-commerce, graphic design, and more!
Discover Uncrop 4, our latest update that delivers superior generative quality and offers multiple variants per image. See how you can transform your visuals today!
FastAPI, FastHTML, Next.js, SvelteKit, and thoughts on how coding assistants influence builders' choices.
Use cases, techniques, alignment, finetuning, and critiques against LLM-evaluators.
Discover how neural.love's groundbreaking Auto-Aesthetics v1 model is transforming AI art generation by predicting and adapting to your unique aesthetic preferences.
Discover our state-of-the-art Subtle Upscale feature, adding incredible detail without hallucinations. See the stunning results for yourself!
What to interview for, how to structure the phone screen, interview loop, and debrief, and a few tips.
Hallucination in large language models usually refers to the model generating unfaithful, fabricated, inconsistent, or nonsensical content. As a term, hallucination has been somewhat generalized to cases when the model makes mistakes.
Structured input/output, prefilling, n-shots prompting, chain-of-thought, reducing hallucinations, etc.
Diffusion models have demonstrated strong results on image synthesis in past years. Now the research community has started working on a harder task—using it for video generation.
Introducing the latest update to our AI Video Colorization tool, powered by palette.fm. Bring your black and white videos to life like never before!
[Special thank you to Ian Kivlichan for many useful pointers (E.g. the 100+ year old Nature paper “Vox populi”) and nice feedback. 🙏 ] High-quality data is the fuel for modern data deep learning model training.
Generate images with the power of DALLE 3, no ChatGPT required. Available at neural.love.
Showing 72 of 109 stories
Load more storiesGet the top AI news and tools straight to your inbox every week.
Weekly · AI news
Join 15,000+ AI enthusiasts