From the OpenAI blog…
We’re launching a new ChatGPT plan for teams of all sizes, which provides a secure, collaborative workspace to get the most out of ChatGPT at work…
ChatGPT Team offers access to our advanced models like GPT-4 and DALL·E 3, and tools like Advanced Data Analysis. It additionally includes a dedicated collaborative workspace for your team and admin tools for team management. As with ChatGPT Enterprise, you own and control your business data—we do not train on your business data or conversations, and our models don’t learn from your usage. More details on our data privacy practices can be found on our privacy page and Trust Portal. ChatGPT Team includes:
- Access to GPT-4 with 32K context window
- Tools like DALL·E 3, GPT-4 with Vision, Browsing, Advanced Data Analysis—with higher message caps
- No training on your business data or conversations
- Secure workspace for your team
- Create and share custom GPTs with your workspace
- Admin console for workspace and team management
- Early access to new features and improvements
We recently announced GPTs—custom versions of ChatGPT that you can create for a specific purpose with instructions, expanded knowledge, and custom capabilities. These can be especially useful for businesses and teams. With GPTs, you can customize ChatGPT to your team’s specific needs and workflows (no code required) and publish them securely to your team’s workspace. GPTs can help with a wide range of tasks, such as assisting in project management, team onboarding, generating code, performing data analysis, securely taking action in your existing systems and tools, or creating collateral to match your brand tone and voice. Today, we announced the GPT Store where you can find useful and popular GPTs from your workspace.
ChatGPT Team costs $25/month per user when billed annually, or $30/month per user when billed monthly. You can explore the details or get started now by upgrading in your ChatGPT settings.
This week we feature articles from Hanane Dupouy, and Ilia Teimouri.
Additional reading comes from Dries Buytaert, Thomas Claburn, Scott Brinker, and Hugo Lu.
News comes from Figma & Adobe, Axel Springer & OpenAI, Franz, and Bloomreach & Spryker.
All previous issues are available at https://gilbane.com/gilbane-advisor-index
Opinion / Analysis
Discover DocLLM: The new LLM from JPMorgan for working with complex documents
Lots going on in this area these days including similar approaches. Hanane Dupouy provides a useful summary, but you’ll also want to check out the paper and at least read the introduction. (5 min)
Illuminating insights: GPT extracts meaning from charts and tables
Ilia Teimouri covers the same topic but describes an application focused on using data from images in financial documents. Scroll down to see his impressive-looking results and explanation. If you’re technical there is a link to all his code on Github. (7 min)
All Gilbane Advisor issues
Content technology news
Figma and Adobe abandon proposed merger
Fifteen months into the regulatory review process, Figma & Adobe no longer see a path toward regulatory approval of proposed acquisition.
Franz Unveils AllegroGraph 8.0
Neuro-Symbolic AI Platform incorporates LLM components into SPARQL with vector generation and vector storage for Knowledge Graph solutions.
Axel Springer and OpenAI partner to deepen beneficial use of AI in journalism
ChatGPT users will get summaries of selected global news from Axel Springer’s media brands including POLITICO, BUSINESS INSIDER, BILD & WELT.
Bloomreach partners with Spryker to expand composable commerce
Bloomreach users can leverage Spryker’s composable, API based functionalities to constantly improve their digital and marketplace experience.
https://www.bloomreach.com/en/news/2023/bloomreach-partners-with-spryker-to-unlock-a-new-level-of-composable-commerce ■ https://spryker.com
All content technology news
The Gilbane Advisor is authored by Frank Gilbane and is ad-free, cost-free, and curated for content, computing, web, data, and digital experience technology and information professionals. We publish recommended articles and content technology news weekly. We do not sell or share personal data.