New embedding models and API updates
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
We are launching a new generation of embedding models, new GPT-4 Turbo and moderation models, new API usage management tools, and soon, lower pricing on GPT-3.5 Turbo.
Deploying dense retrieval models is crucial in industries like enterprise search (ES), where a single service supports multiple enterprises. In ES, such as the Cloud Customer Service (CCS), personalized search engines are generated from uploaded business documents to assist customer inquiries. The success of ES providers relies on delivering time-efficient searching customization to meet scalability…
Powered by pitneybowes.com In the News Employees Say OpenAI and Google DeepMind Are Hiding Dangers From the Public A group of current and former employees at leading AI companies OpenAI and Google DeepMind published a letter on Tuesday warning against the dangers of advanced AI as they allege companies are prioritizing financial gains while avoiding…
In medicine, scientists face a challenge in treating serious diseases like cancer. The problem lies in understanding the unique composition of cells, particularly the sequences of peptides within them. Peptides are like the building blocks of cells, playing a crucial role in our bodies. Identifying these peptide sequences is essential for developing personalized treatments, especially…
The field of Artificial Intelligence (AI) has always had a long-standing goal of automating everyday computer operations using autonomous agents. Basically, the web-based autonomous agents with the ability to reason, plan, and act are a potential way to automate a variety of computer operations. However, the main obstacle to accomplishing this goal is creating agents…
Pretrained on trillion-token corpora, large neural language models (LLMs) have achieved remarkable performance strides (Touvron et al., 2023a; Geng & Liu, 2023). However, the scalability benefits of such data for traditional n-gram language models (LMs) still need to be explored. This paper from the University of Washington and Allen Institute for Artificial Intelligence delves into…
Anthropic accused Alibaba of running 25,000 fake accounts to pull nearly 29 million conversations out of Claude — then took the evidence to the White House. That was just the opening shot in a week the labs spent at war with everyone, including each other: poaching Google’s top Gemini minds, watching their own developer tools…