ChatGPT / Bing Chat / Enterprise / OpenAI 2023 Aug Week 5 Datumo Newsletter |
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ChatGPT, BingChat Enterprise Updates |
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August 28th update on 'ChatGPT Enterprise'. Available from the day of release.
Image. OpenAI.
This Monday, ChatGPT Enterprise was launched. After the release of ChatGPT in November last year, OpenAI noted an "unprecedented demand" and unveiled a corporate service with enhanced unlimited high-speed access, information security, and data analysis features.
According to OpenAI, ChatGPT Enterprise does not learn from users' business data or conversations, encrypts all conversations when transmitting or storing, and complies with the security standard SOC 2 regulations. Usage is unlimited, and the context window token length is up to 32K.
OpenAI COO Brad Lightcap said in an interview with CNBC USA that the pricing policy for ChatGPT Enterprise will not be disclosed and will vary depending on the scale of the company's use case.
To know the detailed pricing policy, you must contact the OpenAI sales team. However, since it was mentioned in the official blog that "we plan to onboard as many companies as possible in the coming weeks," it's cautiously speculated that the price will not be a significant barrier to adopting ChatGPT Enterprise.
On the same day, Microsoft announced that they will support 'Bing Chat Enterprise' in Windows Copilot. Bing Chat Enterprise is a business chatbot launched on July 18th.
Similarly, it emphasizes security features. Bing Chat Enterprise chat data is not stored, and even Microsoft does not have access rights. It is currently being offered for free in a preview stage, but the announced pricing policy is $5 per user.
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AI Adoption Types and Industry Ecosystem |
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AI-Readiness-Report-2023 Report. Scale.
Many companies have actively started using generative models in their business since last year. According to the 'AI-Readiness-Report-2023' report published by the global AI company Scale, the types of utilization are broadly divided into three: open-source models (41%), Cloud API calls (37%), and building their own foundation models (22%). This data is based on an online survey conducted with 2,909 AI industry professionals, including machine learning engineers and data scientists.
The high proportion of open-source indicates a significant demand for cost savings, security, and fine-tuning. Open-source LLM refers to a large language model where some or all of the source code, datasets, and weights are made public for anyone to use.
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August 22nd GPT-3.5 Turbo Fine-tuning update.
Image. OpenAI.
In a matter of months, various B2B services and startups have emerged in response to such demand. Their roles include reviewing various foundation model candidates for LLM adoption, addressing security and privacy issues, and building data for fine-tuning.
Amidst this, OpenAI introduced an update on the 22nd stating that businesses can now fine-tune the GPT-3.5 Turbo model with their own data. In less than a week, they unveiled ChatGPT Enterprise. Currently, in the market, there's a coexisting view that while there's an expectation for the business ecosystem to expand centered around AI, concrete monetization cases are still not common.
Once this period of exploring various possibilities across different industries and roles comes to an end, there's also a thought that the AI industry will soon be organized like the cloud market, with CSPs (Cloud Service Providers) providing infrastructure and MSPs (Managed Service Providers) connecting them to customers.
Services directly provided by OpenAI and Microsoft, along with NVIDIA AI Workbench, might be the beginning of this. Thank you for reading :)
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#Fine-tune your AI
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