OpenAI ChatGPT: Diffusion Design by Bogdan Iancu

OpenAI launches ChatGPT Enterprise

On August 28th, OpenAI launched ChatGPT Enterprise, a new version of ChatGPT that is designed for businesses.

ChatGPT Enterprise can be described as a powerful and secure AI assistant for businesses. It offers enterprise-grade security and privacy, provides unlimited access to GPT-4, allows for longer context windows for processing longer inputs, advanced data analysis capabilities, customization options, and features for large-scale deployments.

Key features:

  • Enterprise-grade security and privacy: ChatGPT Enterprise is SOC 2 compliant and all conversations are encrypted in transit and at rest. This means that your data is safe and secure. That also means that GPT will not use your data to train the model.
  • Unlimited access to GPT-4: GPT-4 is the latest and most powerful language model from OpenAI. It can generate text, translate languages, write various kinds of creative content, and answer your questions in an informative way. With unlimited access to GPT-4, you can use ChatGPT Enterprise for any task that requires natural language processing.
  • Longer context windows for processing longer inputs: ChatGPT Enterprise has longer context windows than the standard version of ChatGPT. This means that it can process longer inputs and follow-up questions more easily.
  • Advanced data analysis capabilities: ChatGPT Enterprise includes advanced data analysis capabilities, previously known as Code Interpreter. This feature allows you to analyze data in seconds, whether it’s for financial research, marketing, or data science.
  • Customization options: ChatGPT Enterprise is highly customizable. You can use the shared chat templates to collaborate with your team and build common workflows. You can also use the API credits to extend OpenAI into a fully custom solution for your organization.

Benefits:

  • Improve efficiency and productivity: ChatGPT Enterprise can help you improve efficiency and productivity by automating tasks, generating creative content, and answering questions.
  • Gain insights from data: ChatGPT Enterprise can help you gain insights from data by analyzing data in seconds. This can help you make better decisions for your business.
  • Protect your data: ChatGPT Enterprise is SOC 2 compliant and all conversations are encrypted in transit and at rest. This means that your data is safe and secure.
  • Scale your business: ChatGPT Enterprise is designed for large-scale deployments. This means that you can use it to support a large number of users and requests.

If you are a business looking for a powerful and secure AI assistant, ChatGPT Enterprise is a great option. It offers a wide range of features and benefits that can help you improve efficiency, productivity, and insights.

Other AI News

  1. According to sources, major tech companies have committed to Arm’s IPO, valuing the firm between $50 billion and $55 billion.

According to insiders with knowledge of the situation, leading clients of Arm Holdings Ltd, such as Apple Inc, Nvidia Corp, Alphabet Inc, and Advanced Micro Devices Inc (AMD), have committed to invest in the semiconductor firm’s forthcoming initial public offering (IPO).

Intel Corp, Samsung Electronics Co Ltd, Cadence Design Systems Inc, and Synopsys Inc have additionally committed to investing in the initial public offering, according to individuals with knowledge of the matter.

Amazon.com Inc, which had previously held talks to invest in the IPO, has decided not to participate, one of the sources said, requesting anonymity as the discussions are confidential.

  1. Google Cloud and NVIDIA Strengthen Collaboration to Further Develop AI Computing, Software, and Services

Google Cloud and NVIDIA are intensifying their collaboration to offer advanced AI infrastructure and software, aimed at accelerating data science workloads and generative AI model development. The partnership will simplify the use of AI supercomputers by integrating Google Cloud services with NVIDIA technologies. The collaboration leverages NVIDIA’s proven technology, previously utilized by Google DeepMind and other research teams.

The PaxML framework, originally designed for Google’s TPU accelerators, is now optimized for NVIDIA’s H100 and A100 Tensor Core GPUs. This will facilitate more flexible and scalable AI deployment. An optimized PaxML container is now available in NVIDIA’s NGC software catalogue and is also compatible with JAX, optimized for GPUs via the OpenXLA compiler.

Furthermore, Google has integrated serverless Spark with NVIDIA GPUs through its Dataproc service, enhancing the speed of data preparation for AI projects. This expanded partnership aims to serve a broad range of stakeholders, from researchers to enterprises, engaged in next-gen AI application development.

  1. Today, Google Cloud announced a series of strategic expansions in its partnership with NVIDIA to advance AI and cloud computing capabilities:
  • A3 VMs with NVIDIA H100: Google Cloud’s upcoming A3 virtual machines (VMs), powered by NVIDIA’s H100 GPUs, promise to make AI tasks more accessible and efficient. These A3 VMs offer three times faster training speeds and enhanced networking bandwidth compared to their predecessors.
  • H100 GPUs on Vertex AI: NVIDIA’s H100 GPUs will soon be integrated into Google’s Vertex AI platform. This will enable the rapid development of generative large language models (LLMs).
  • Access to NVIDIA DGX GH200: Google Cloud is set to become one of the first global companies to utilize NVIDIA’s DGX GH200 AI supercomputer, driven by the NVIDIA Grace Hopper Superchip, for exploratory generative AI projects.
  • NVIDIA DGX Cloud on Google Cloud: NVIDIA’s DGX Cloud AI supercomputing capabilities will be available directly from web browsers, offering speed and scalability for advanced training workloads.
  • NVIDIA AI Enterprise on Marketplace: The Google Cloud Marketplace will feature NVIDIA AI Enterprise, a secure, cloud-native platform that simplifies the development and deployment of a range of AI applications, including generative AI, speech AI, and computer vision.
  • First to Offer NVIDIA L4 GPUs: Google Cloud was the first to provide NVIDIA’s L4 Tensor Core GPUs via its G2 VMs. The switch from CPUs to L4 GPUs for AI video tasks can yield performance gains up to 120x and 99% greater efficiency. These GPUs are ideal for tasks like image and text generation, as well as video and audio transcoding.
  1. OpenAI is on track to surpass $1 billion in annual revenue, significantly outpacing its prior revenue forecasts, according to an insider with direct knowledge of the matter.

This marks a substantial growth from the $28 million in revenue it generated last year, prior to monetizing its flagship chatbot, ChatGPT. At a monthly revenue rate exceeding $80 million, the Microsoft-backed AI firm, valued at $27 billion earlier this year, is seeing increased adoption of its conversational text technology. This uptick in revenue is driven by a diverse range of companies and app developers—including secretive players like Jane Street – a Wall Street firm—who are leveraging OpenAI’s AI capabilities to either generate income or reduce expenses.

  1. Google DeepMind co-founder calls for US to enforce AI standards, Financial Times reports

Mustafa Suleyman, co-founder of Google DeepMind, has urged the U.S. to enforce minimum ethical standards for the use of artificial intelligence (AI), according to a Financial Times report. Suleyman suggests that buyers of Nvidia’s AI chips should commit to using the technology responsibly. He advocates for adherence to the voluntary ethical guidelines established by leading AI companies, including OpenAI, Alphabet, and Meta Platforms, in their pledges to the White House. These guidelines include initiatives like watermarking AI-generated content for safer technology use.

Additionally, Suleyman’s call comes amid the U.S. extending export restrictions on advanced AI chips from Nvidia and Advanced Micro Devices, not just to China but to other regions, including certain countries in the Middle East.

  1. China lets Baidu, and others launch ChatGPT-like bots to the public

Five Chinese technology firms, including search engine giant Baidu Inc. and AI company SenseTime Group, have publicly launched their AI chatbots following government approval. This move is part of China’s strategic effort to expand the domestic use of AI technologies, positioning itself competitively against the U.S. Baidu announced that its chatbot, named Ernie Bot, is now publicly accessible, while SenseTime confirmed that its SenseChat is “fully available to serve all users.” Additionally, AI startups Baichuan Intelligent Technology, Zhipu AI, and MiniMax made similar public launch announcements.

Unlike in other countries, China mandates that companies undergo security assessments and obtain government clearance prior to the mass-market release of AI products.

  1. AI-based English language learning startup Speak announced it has secured $16 million in a funding round led by venture capitalist Lachy Groom.

The round, which also saw participation from existing backer OpenAI Startup Fund and new investors including Dropbox co-founders Drew Houston and Arash Ferdowsi, elevates Speak’s total funding to $63 million. The infusion of capital aims to fuel the San Francisco-based company’s international expansion.

Founded in 2016, Speak has a user base spanning more than 20 countries, including Japan, Taiwan, Germany, France, Brazil, and Mexico. Competing AI firms like Google-backed Runway and Microsoft-supported Inflection AI are also attracting investment as stakeholders search for the next significant innovation in the rapidly evolving technology sector.

The OpenAI Startup Fund, with a $100 million investment pool, is focused on early-stage startups across various sectors such as healthcare, climate change, and education. Microsoft and other OpenAI partners comprise the fund’s investor lineup.

About The Author

Bogdan Iancu

Bogdan Iancu is a seasoned entrepreneur and strategic leader with over 25 years of experience in diverse industrial and commercial fields. His passion for AI, Machine Learning, and Generative AI is underpinned by a deep understanding of advanced calculus, enabling him to leverage these technologies to drive innovation and growth. As a Non-Executive Director, Bogdan brings a wealth of experience and a unique perspective to the boardroom, contributing to robust strategic decisions. With a proven track record of assisting clients worldwide, Bogdan is committed to harnessing the power of AI to transform businesses and create sustainable growth in the digital age.