Why editing the knowledge of LLMs post-training can create messy ripple effects

After the advent of ChatGPT, the readily available model developed by Open AI, large language models (LLMs) have become increasingly widespread, with many online users now accessing them daily to quickly get answers to their queries, source information or produce customized texts. Despite their striking ability to rapidly define words and generate written texts pertinent …

Flux is what we wanted SD3 to be (review of the dev model’s capabilities)

(Disclaimer: All images in this post were made locally using the dev model with the FP16 clip and the dev provided comfy node without any alterations. They were cherry-picked but I will note the incidence of good vs bad results. I also didn’t use an LLM to translate my prompts because my poor 3090 only …

Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages

This article introduces contrastive alignment instructions (AlignInstruct) to address two challenges in machine translation (MT) on large language models (LLMs). One is the expansion of supported languages to previously unseen ones. The second relates to the lack of data in low-resource languages. Model fine-tuning through MT instructions (MTInstruct) is a straightforward approach to the first …

underwriting blog arch final

Streamline insurance underwriting with generative AI using Amazon Bedrock – Part 1

Underwriting is a fundamental function within the insurance industry, serving as the foundation for risk assessment and management. Underwriters are responsible for evaluating insurance applications, determining the level of risk associated with each applicant, and making decisions on whether to accept or reject the application based on the insurer’s guidelines and risk appetite. In this …

New strides in making AI accessible for every enterprise

We’ve been thrilled to see the recent enthusiasm and adoption of Gemini 1.5 Flash — our fastest model to date, optimized for high-volume and high-frequency tasks at scale. Every day, we learn about how people are using Gemini to do amazing things like transcribe audio, understand code errors, and build apps in minutes. Companies like …