It took less than a week for OpenAI's ChatGPT to reach a million users, and it crossed the 100 million user mark in under two months. The interest and excitement around this technology has been remarkable. Users around the world are seeing potential for applying these large language models to a broad range of scenarios. In the context of enterprise applications, the question we hear most often is "how do I build something like ChatGPT that uses my own data as the basis for its responses?" It integrates the enterprise-grade characteristics of Azure, the ability of Cognitive Search to index, understand and retrieve the right pieces of your own data across large knowledge bases, and ChatGPT's impressive capability for interacting in natural language to answer questions or take turns in a conversation.

OpenAI has just announced an enterprise version of its popular generative AI product, ChatGPT. But in this case, OpenAI is a fast follower -- not the first-to-market. Cohere, a Toronto-based company with close ties to Google, is already bringing generative AI to businesses. I spoke with Cohere's President and COO, Martin Kon, about how its machine learning models are being used within enterprise companies. Cohere is only a few years old, but it has an impressive pedigree.

More than half of people cannot identify whether words were written by AI chatbots such as ChatGPT, new research has shown - and Generation Z are the worst. Researchers found that 53 percent of people failed to spot the difference between content produced by a human, an AI, or an AI edited by a human. Among young people aged 18-24, just four in 10 - where people aged 65 and over were able to spot AI content more than half the time correctly. It comes amid fears ChatGPT and similar bots could threaten the jobs of white-collar workers. Robert Brandl, CEO and Founder of web tool reviewing company Tooltester, who conducted the latest survey, told DailyMail.com:

ChatGPT has cast long shadows over the media as the latest form of disruptive technology. For some, ChatGPT is a harbinger of the end of academic and scientific integrity, and a threat to white collar jobs and our democratic institutions. How concerned should we be about generative artificial intelligence (AI)? The developers of ChatGPT describe it as "a model… which interacts in a conversational way" while also calling it a "horrible product" for its inconsistent results. It can write emails, summarize documents, review code and provide comments, translate documents, create content, play games, and, of course, chat.

Surprise, Discord is partnering with OpenAI to integrate ChatGPT throughout the app. There's a chatbot, obviously, but the company also plans to use machine learning in a handful of more novel and potentially useful ways. Starting next week, the company will begin rolling out a public experiment that will augment Clyde, the built-in bot Discord employs to notify users of errors and respond to their slash commands, with conversational capabilities. Judging from the demo it showed off, Discord envisions people turning to Clyde for information they would have obtained from Google in the past. For instance, you might ask the chatbot for the local time in the place where someone on your server lives to decide if it would be appropriate to message them.

Grammarly announced today that it's (unsurprisingly) diving into the generative AI fray. GrammarlyGo is an upcoming set of auto-composition features to help the AI proofreading software keep up with the many companies adding the ChatGPT API (or different generative AI backends) to their products. GrammarlyGo can use context like voice, style, purpose and where you're writing to determine its approach. So, for example, it can spit out email replies, shorten passages, rewrite them for tone and clarity, brainstorm or choose from one-click prompts -- all while adhering to your company's voice or other provided context. In addition, since Grammarly's desktop service can pop up in any text field on your computer, its generative writing could be slightly more convenient than competitors (like Notion or Gmail's Smart Compose) that require you to visit an app or website.

Prompts may well be the new oil. Writing the text strings that instruct AI systems like ChatGPT and DALL-E 2 to generate essays, articles, images and more has become a veritable profession, commanding salaries well into the six-figure range. Anyone can come up with prompts, of course. But only certain prompts (e.g. "Create a watercolor of a solider standing in the middle of a field, in the style of John Singer Sargent) accomplish very specific, desirable (or undesirable) things. Prompt writing requires skill and dedication, owing to the black box and unpredictable nature of today's bleeding-edge AI systems. Complicating matters further, the systems are frequently changing and responding to malicious prompts, bypassing the guardrails that their makers put in place. But not every company or developer has the budget to hire a so-called prompt engineer. Prompt marketplaces, or e-commerce portals where users can buy, sell or give away prompts "designed" for various AI systems, are a growing industry. When we first profiled prompt marketplaces last July, there was only one major player. But since then, the landscape has expanded dramatically. Even a cursory Google search turns up a dozen or more prompt marketplaces, with new ones added on a monthly basis. ChatX, for instance, offers prompts tuned to ChatGPT as well as popular image-generating systems like DALL-E 2, Midjourney and Stable Diffusion. NeutronField's prompts for sale cover a slightly wider range of AI systems, including Disco Diffusion and Craiyon. Many of the marketplace operators, like NeutronField's Miroslav Kostic, have no background in AI or even data science. They were hobbyists to start, experimenting with systems like Stable Diffusion but running into hurdles unlocking their full potential. "I've been playing with AI text-to-image models since Disco Diffusion first appeared in September 2021," Kostic told TechCrunch in an email interview. "I spent countless hours trying to bring to life the ideas that had been in my head for years -- dystopian sci-fi landscapes and otherworldly spacescapes.

OpenAI 推出的 ChatGPT 到底是不是 1750 亿参数的等价大模型呢？这篇文章或许能带给你答案。

Talk of the town, an unsaid threat in the minds of many professionals, a competitor's catalyst for sleepless nights, and just a source of uncertainty and amazement for many, ChatGPT has crawled its way into our existence with an ear-crashing drumroll! With 13 million active individual users, a valuation of $29 billion, and many such unbelievable numbers, Chat GPT is impossible to ignore! The Chatbot that has taken the world by storm of late, you do know what it is, right? If not, which is shocking, let's get acquainted! Developed by OpenAI, ChatGPT is the fine-tuned version of OpenAI's GPT-3 family of large language models, trained using both supervised and reinforcement learning techniques.

We did it all for free! I hope you found this article informative and hopefully the code is not too intimidating. If you face any hangups, feel free to leave a comment and I will do my best to help. If you would like to create an AI Text Editor in Google Docs, I wrote a piece on that too. As I mentioned, I plan on covering more practical use cases of AI in the future. I would love to hear about any interesting applications you would like to see covered. I would also love to hear about your creative and quirky ways to improve on the Apps Script AI code that was mentioned.