Tag: Large Language Model

Tokyo , Japan – AI research organisation OpenAI has announced the establishment of a new office in Tokyo, Japan. This marks the first time OpenAI has opened an office in the Asian region. Moreover, it is also announced that they are releasing a GPT-4 custom model optimised for the Japanese language.

In a blog post by the company, it said that they are committed to collaborating with the Japanese government, local businesses, and research institutions in order to develop safe AI tools that serve Japan’s unique needs and to unlock new opportunities.

“We’re excited to be in Japan which has a rich history of people and technology coming together to do more. We believe AI will accelerate work by empowering people to be more creative and productive, while also delivering broad value to current and new industries that have yet to be imagined,” Sam Altman, CEO of OpenAI, said.

As part of its Japan office opening, it has appointed Tadao Nagasaki as president of OpenAI Japan. In this new role, Nagasaki will lead the company’s commercial and market engagement efforts and help build its local team that will advance global affairs, go-to-market, communications, operations and other functions in serving Japan. 

“Our new local presence also gets us closer to leading businesses like Daikin, Rakuten, and TOYOTA Connected who are using ChatGPT Enterprise to automate complex business processes, assist in data analysis, and optimize internal reporting. ChatGPT also helps accelerate the efforts of local governments, such as Yokosuka City, which is leveraging the technology to improve the efficiency of public services in Japan,” the company said.

Singapore – Lakehouse company Databricks has announced the release of Dolly 2.0, the world’s first open-source, instruction-following large language model (LLM) that is fine-tuned on a human-generated instruction dataset licensed for commercial use.

This follows the initial release of Dolly in March 2023, an LLM trained for less than USD$30 to exhibit ChatGPT-like human interactivity.

The 12B parameter language model is based on the EleutherAI Pythia model family and fine-tuned exclusively on a high-quality human-generated instruction-following dataset, which was crowdsourced among Databricks employees.

Moreover, Databricks is also open-sourcing the entirety of Dolly 2.0, including the training code, the dataset, and the model weights, all suitable for commercial use. This enables any organisation to create, own, and customise powerful LLMs that can talk to people without paying for API access or sharing data with third parties.

Meanwhile, its databricks-dolly-15k dataset contains 15,000 high-quality human-generated prompt or response pairs specifically designed for instruction tuning large language models. With this, anyone can use, modify, or extend this dataset for any purpose, including commercial applications.

“Dolly 2.0 is a game changer as it enables all organisations around the world to build their own bespoke models for their particular use cases to automate things and make processes much more productive in the field they’re in,” said Ali Ghodsi, CEO of Databricks.

Ghodsi also added that with Dolly 2.0, any organisation can create, own, and customise a powerful LLM to create a competitive advantage for their business.

Last year, Databricks has also launched the first lakehouse platform for data-driven businesses in the media and entertainment industry, ‘The Lakehouse for Media & Entertainment’.