Large Language Models

This initiative is essential to our commitment to develop safe and advanced AI. As we create technology and services that are secure, reliable, and trustworthy,

Ensuring that AI systems are built, deployed, and used safely is critical to our mission.

Learn how you can connect Weaviate to ChatGPT to generate customized responses.

Today we’re releasing our new course, From Deep Learning Foundations to Stable Diffusion , which is part 2 of Practical Deep Learning for Coders .

We’ve implemented initial support for plugins in ChatGPT. Plugins are tools designed specifically for language models with safety as a core principle, and help

A gentle introduction to Large Language Models (LLMs) - how they work and what they learn.

Using the Weaviate Tile Encoder to compress vectors with Product Quantization.

“ The limits of my language mean the limits of my world. ” — Ludwig Wittgenstein

A roundup of recent developments from the llamaverse.

With a small amount of data and an hour of training you can make LLaMA output text in the voice of the dataset.

We'll show you how to train Alpaca, a fine-tuned version of LLaMA that can respond to instructions like ChatGPT.

Prompt Engineering , also known as In-Context Prompting , refers to methods for how to communicate with LLM to steer its behavior for desired outcomes without u

Be My Eyes uses GPT-4 to transform visual accessibility.

Stripe leverages GPT-4 to streamline user experience and combat fraud.

We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning. GPT-4 is a large multimodal model (accepting image and text inputs, em

Khan Academy explores the potential for GPT-4 in a limited pilot program.

Implementing HNSW + Product Quantization (PQ) vector compression in Weaviate.

Our mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity.

LangChain is one of the most exciting new tools in AI. It helps overcome many limitations of LLMs, such as hallucination and limited input lengths.

We’re clarifying how ChatGPT’s behavior is shaped and our plans for improving that behavior, allowing more user customization, and getting more public input int

It's like DreamBooth, but much faster. And you can run it in the cloud on Replicate.

We’re launching a pilot subscription plan for ChatGPT, a conversational AI that can chat with you, answer follow-up questions, and challenge incorrect assumptio

We’re launching a classifier trained to distinguish between AI-written and human-written text.

Many new Transformer architecture improvements have been proposed since my last post on “The Transformer Family” about three years ago. Here I did a

We’re happy to announce that OpenAI and Microsoft are extending our partnership.

OpenAI researchers collaborated with Georgetown University’s Center for Security and Emerging Technology and the Stanford Internet Observatory to investigate ho

[Updated on 2023-01-24: add a small section on Distillation .] Large transformer models are mainstream nowadays, creating SoTA results for a variety of tasks. T

Using GPT-3 to deliver fast, nuanced insights from customer feedback.

Fine-tuning GPT-3 to power and scale done-for-you video creation.

Using GPT-3 to create the next generation of AI-powered characters.

Lilian Weng works on Applied AI Research at OpenAI.

We are excited to announce a new embedding model which is significantly more capable, cost effective, and simpler to use.

The post A conversation with Kevin Scott: What’s next in AI appeared first on The AI Blog .

Learn how to import and query the Sphere dataset in Weaviate!

We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, ad

With just a handful of images and a single API call, you can train a model, publish it to Replicate, and run predictions on it in the cloud.

Starting today, developers can begin building apps with the DALL·E API.

Weaviate 1.16 introduces New Filter Operators, Distributed Backups, Centroid Module, Node Status API, Azure-based OIDC, and more. Lear all about it.