Large Language Models

Neural networks are well known to be over-parameterized and can often easily fit data with near-zero training loss with decent generalization performance on tes

How to run Stable Diffusion locally so you can hack on it

Self-Supervised Retrieval can surpass BM25 and Supervised techniques. This technique also pairs very well alongside BM25 in Hybrid Retrieval. Learn more about i

How to use Replicate to integrate Stable Diffusion into hacks, apps, and projects

A tutorial for building a chat bot that replies to prompts with the output of a text-to-image model.

We are improving our AI systems’ ability to learn from human feedback and to assist humans at evaluating AI. Our goal is to build a sufficiently aligned AI syst

We're bringing people together to explore what's being created with machine learning.

Learn about bi-encoder and cross-encoder machine learning models, and why combining them could improve the vector search experience.

Today, we are implementing a new technique so that DALL·E generates images of people that more accurately reflect the diversity of the world’s population.

The basics of using the API to create your own images from text.

As part of our DALL·E 2 research preview, more than 3,000 artists from more than 118 countries have incorporated DALL·E into their creative workflows. The artis

Inspired by model cards, we've created templates for documenting models on Replicate.

In order to share the magic of DALL·E 2 with a broad audience, we needed to reduce the risks associated with powerful image generation models. To this end, we p

We trained a neural network to play Minecraft by Video PreTraining (VPT) on a massive unlabeled video dataset of human Minecraft play, while using only a small

Learn about the vision of the AI-First Database Ecosystem, which drives the R&D of the databases of the future.

The post Microsoft’s framework for building AI systems responsibly appeared first on The AI Blog .

We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much more often when shown our model’s critiques.

Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestr

Cohere, OpenAI, and AI21 Labs have developed a preliminary set of best practices applicable to any organization developing or deploying large language models.

The post The opportunity at home – can AI drive innovation in personal assistant devices and sign language? appeared first on The AI Blog .

An introduction to differentiable programming and the process of refining generative art models.

Codex is now powering 70 different applications across a variety of use cases through the OpenAI API.

Goodhart’s law famously says: “When a measure becomes a target, it ceases to be a good measure.” Although originally from economics, it’s something we have to g