ChatGPT

After web3.0, API, wifi6, metaverse or blockchain, the word ChatGPT seems another of those tech geeks term (as the word ADSL was in its day).

It will be important for stakeholders to come together to ensure the responsible and ethical use of these technologies. ChatGPT, a type of language model developed by Open AI, is one example of this technology that has the potential to revolutionize industries such as customer service and content creation, but also raises ethical and societal concerns. There are still many open questions such as what is allowed or not, how it is trained, how the current data is collected and used or what the business model could be based on (e.g. The tool does not browse the internet and the initial information to train the AI was from before 2021. It is probably one of the most important and influential technologies to have come to market in 2022. [ChatGPT](https://chat.openai.com/chat) allows anyone to get a structured written text on any topic and in any style (including programming language), in reply of a question or an article.

ChatGPT may be on everyone's mind at the moment, but there are plenty of generative AI projects coming out of the UK worth keeping an eye on.

The investment landed the company a unicorn value of $1bn. One of the company’s most notable projects is Stable Diffusion, an image-creating AI similar to Open AI’s viral programme DALL-E. Genei has created a platform for document summarisation. The platform is usable in more than 60 languages and is primarily used for company training videos, with the goal of saving businesses money on camera equipment and professional speakers. However, there are plenty of generative AI projects coming out of the UK worth keeping an eye on. Some believe that language model chatbots like ChatGPT will become the next version of internet search.

ChatGPT is a conversational chatbot backed by Elon Musk-backed research body - OpenAI.

One of the applications of the amazing AI chatbot is its ability to write codes and help developers in solving coding-related problems. Experts suggest that the AI chatbot has the ability to replace Google search in the future. But the artificial intelligence (AI) driven chatbot still continues to make headlines due to its vast areas of applications.

By the end of last year we interviewed ChatGPT for the first time. Our straightforward questions led to some pretty interesting answers, and since we had.

Instead, language models are trained on large datasets of text, such as articles, books, or social media posts, and they use this training data to learn about language and generate text that is similar to the text in the training data. It is important to note that chatbots and language models like ChatGPT are designed to generate text based on the input they receive, and they do not have the ability to understand the context or implications of the text they generate. No, ChatGPT or other language models like it are not able to access the internet or browse websites on their own. OpenAI and other developers of language models have a responsibility to ensure that their products are used ethically and responsibly, and to educate users about the limitations and potential risks of these technologies. These are just a few examples, and there are likely many other ways that media companies could leverage the potential of ChatGPT or other language models. As with any powerful technology, there are risks associated with the use of ChatGPT or other language models.

OpenAI's artificial intelligence solutions are revolutionizing content creation at scale. With such new technologies promising to flood the internet with ...

While it has many potential benefits, it is important for publishers to be aware of the ethical concerns and potential impacts on the workforce. It’s important to note that ChatGPT is simply a tool and its impact on the publishing industry will depend on how it is used. Language generation models are able to generate text that is coherent and may even be able to mimic the style of a particular writer, but they are not able to create truly original content in the same way that a human writer can. They also do not have the same level of understanding of context, subtext, and nuance that a human writer does, and they may struggle to generate text that is emotionally resonant or deeply insightful. Another potential impact of ChatGPT on the publishing industry is its ability to automate the content creation process. While ChatGPT has the potential to revolutionize the way we interact with computers and access information, it also raises some important ethical questions.

With a chatbot that is capable of producing content and conversations that are extremely humanlike, there are implications that are far-reaching.

“This means that it may not be able to adapt to new situations or scenarios that it has not been trained on.” The humanlike qualities of the conversations that ChatGPT is able to generate have huge potential to “humanize” otherwise dry, mechanical interactions between people and machines. Conversation AI has been an evolving technology that is already in use by many brands as part of their customer service and call center initiatives. The specific dataset that was used to train ChatGPT is likely to have been selected and curated by OpenAI to optimize the chatbot’s performance. The GPT in ChatGPT stands for Generative Pretrained Transformer and refers to the underlying technology that powers ChatGPT, which is a type of machine learning (ML) model called a transformer. This means that it may not be practical or cost-effective to use ChatGPT in all situations,” explained the bot. This means that if the training data is biased or incomplete, the results produced by ChatGPT may also be biased or incomplete,” replied the chatbot. Additionally, the GPT-3.5 technology that the chatbot is based on has continued to evolve. “First, ChatGPT cannot specifically search an internal knowledge base or the internet for an answer; it can only reproduce what it has learned from reading the internet,” said Buteneers. Overall, ChatGPT has the potential to be a valuable tool for businesses looking to improve their marketing efforts. The AI-driven ChatGPT chatbot has been causing leaders across industries to take notice of what many believe to be the most humanlike AI chat interface developed to date. This could help to improve the customer experience by providing quick and convenient access to information.

Turns out that the darling of AI, generative AI and ChatGPT, have a bad side, namely being used for sinister purposes such as email scamming and the coding ...

The coding knowledge of the user that is trying to get generative AI to do this will lessen. Expect more of these AI For Bad efforts, and they will get more sophisticated and more widespread as the AI to do this gets easier to use and more readily accessible. If the human using the generative AI app opts to send out the scam email, this is presumably not the fault of the generative AI app. We even get the proclaimed assurance in the email that this is a “legitimate opportunity” and that there are documents that can prove the authenticity. Text generated: “The Nigerian prince scam is a type of advance-fee scam that originated in the 1980s and 1990s, and is still in circulation today. The beauty of email is that the cost to send out the scam is relatively low. This is by choice of the AI makers, namely that they could revise the AI apps to be more transparent if they wanted the AI app to do so. Nonetheless, it is farfetched and altogether phony to proclaim that the right prompt is going to lead you to a bountiful bounty. As a result of examining thousands and millions of written passages, the AI is able to spew out new essays and stories that are a mishmash of what was found. There is even the gloomier view that generative AI is a sideshow that is distracting us from the real breakthroughs that we will need to achieve sentient AI. A sobering and judicious amount of attention to AI Ethics and AI Law will allow us to leverage the good of AI and avert or at least mitigate the bad of AI. The tongue twister about dual-use implies that though AI might originally be devised in an AI For Good aspirational mindset, there is a solid chance that the very same AI can be readily adjusted to land into the dreary and unsettling AI For Bad camp.

The first open source ChatGPT equivalent appears to have appeared. On top of Google's PaLM architecture, which includes 540 billion.

In RLHF, a language model is fine-tuned using a dataset that includes prompts that correspond to what volunteers’ expectations for the model are, such as “Machine learning is a form of AI…” The language model utilised in PaLM + RLHF is PaLM. It is also difficult to run a trained model with the PaLM + RLHF size. A 2020 study estimated that building a text-generating model with only 1.5 billion parameters may cost up to $1.6 million. A project to replicate ChatGPT using the most modern machine learning techniques is being led by the nonprofit LAION. In order for the system to actually work, it must have acquired the crucial training utilising sample data from the web. The first open source ChatGPT equivalent appears to have appeared.

You may have heard about ChatGPT over the last few weeks, a new chatbot with an uncanny ability to mimic human dialogue and decision making.

Expect this latest exciting leap into the future to prompt excitement, concern, discussion, and questions from all corners of your workplace, and be prepared to address them in a thoughtful and considered manner. Please contact the authors of this Insight or your Fisher Phillips attorney should you have any questions. And at least for now, most tasks will still require human oversight, which may limit your ability to effectively leverage them for meaningful work in the near future. [prompt a discussion about job automation](https://www.fisherphillips.com/news-insights/autonomous-vehicles-blog-driving-the-future/the-5-paths-available-to-calm-the-fears-of-employees-worried-about-losing-their-jobs-to-automation.html) and the other numerous ways in which AI can transform your operations. But you should keep close watch on developments in this area, because a future where AI plays a key role in your company’s work is right around the corner. For example, can AI eliminate certain “grunt work” so your employees can work on more interesting “bigger picture” projects? For example, if you ask it to draft an employee handbook policy, it may give you a document that seems competent on its face but actually lacks important nuances. It cannot browse the internet or access new information, so its answers – particularly about developments in labor and employment law – might not be up to date. But relying on ChatGPT for these calculations can be dangerous, as there is no guarantee of accuracy. This artificial intelligence (AI) — which was developed by OpenAI and is currently free to access — has a simple premise: You “talk” to a chatbot that can assist you with any number of tasks. The release of ChatGPT has led many employers (and employees) to become excited about the ways they can use this service to streamline their processes. Correspondingly important to realize we're not there yet — ChatGPT not yet ready to be relied on for anything important!”