GPT News Center - Latest news about GPT, ChatGPT and LLM

We introduce Voyager, the first LLM-powered embodied lifelong learning agent in Minecraft that continuously explores the world, acquires diverse skills, and makes novel discoveries without human intervention. Voyager utilizes GPT-4 to bypass the need for model parameter fine-tuning and its skills are temporally extended, interpretable, and compositional, which compounds the agent's abilities rapidly and alleviates catastrophic forgetting. Empirically, Voyager shows strong in-context lifelong learning capability and exhibits exceptional proficiency in playing Minecraft. We open-source our full codebase and prompts at this https URL.

In summary, GPT and ChatGPT are two generative AI technologies that can be used for different research applications. GPT models are trained on diverse text data and are better suited for tasks that require a more rigid output, while ChatGPT is trained on human conversations and is better suited for tasks that require a more flexible and imaginative tool. Researchers should understand the nuances of these tools and select the ones that best meet their needs.

In this interview, Connie Chan, a General Partner at Andreessen Horowitz (a16z), discusses how generative AI will reshape how we learn, connect, shop, and create. She explains how AI can be used to provide 1:1 tutoring, rapid feedback loops, immersive learning experiences, AI companions, AI therapy, personalized discovery, product photos, design, and more. Connie also talks about how AI can help democratize the creator economy by making it easier to get discovered, create content, and monetize. Finally, she encourages people to explore this field thoughtfully by trying out AI products.

At KPMG's Generative AI summit on Wednesday, the conversation focused on the ethical implications of AI in business, but not enough was said about the potential for AI to spread misinformation. AI copywriting tools can generate convincing stories in seconds, but they are often not accurate. To avoid a future where people can't trust what they read, we must support the organizations that produce real news now. Vote with your wallet and pay for your news, as it is essential for the survival of society.

My friend's experience on the subway platform illustrates the impact of the new wave of large language models (LLMs) on the job market. OpenAI's GPT-4 and GPT-3.5 models have scored above 80 percent on 11 AP and SAT exams, 77 percent on "Advanced Sommelier (theory knowledge)", and 90 percent on the Uniform Bar Exam, the national test to become a lawyer. This has upended the traditional wisdom that lower-wage, lower-skill jobs would be hardest hit by automation, as these models are now capable of performing tasks that were previously thought to require human expertise.

Microsoft and Epic Systems have announced a partnership to bring OpenAI's GPT-4 AI language model into health care, with two specific uses: allowing doctors and health care workers to automatically draft message responses to patients, and using natural language queries and data analysis to identify trends in patient records. This will increase productivity for many providers, allowing them to focus on clinical duties that require their attention, as well as making new discoveries or for financial reasons.

Generative AI has become the most popular type of machine learning in the last decade, and VCs are interested in the potential it has to contribute to GDP and automate tasks in the workplace. Startups looking to work with AI must ask themselves four big questions before pursuing funding, such as what layer of the stack they will build in and how they will differentiate themselves from competitors. Despite the more conservative fundraising market in 2023, it is still possible to get funding with the right GTM plan and capital efficiency.

Amazon has released a suite of AI technologies, including foundational large language models (LLMs) called Titan and a cloud computing service called Bedrock, in response to competitors Microsoft and Google integrating AI chatbots into their search engines and cloud operations. These LLMs, often grouped with similar technologies under the umbrella term "generative AI," can take any kind of written input and transform, translate, or interpret it in different ways. Bedrock will provide customers with Amazon's proprietary LLM foundation models, known collectively as Amazon Titan, as well as models from third-party companies, enabling businesses to customize "foundation models" using their own data and fine-tune them for their own needs.

<p>In the face of technological change, creativity is often held up as a uniquely human quality, less vulnerable to the forces of technological disruption and critical for the future. Today however, generative AI applications such as ChatGPT and Midjourney are threatening to upend this special status and significantly alter creative work, both independent and salaried. The authors explore three non-exclusive scenarios for this disruption of content creation: 1) people use AI to augment their work, leading to greater productivity, 2) generative AI creates a flood of cheap content that drives out human creatives, and 3) human-made creative work demands a premium.</p>

Generative AI is set to revolutionize the way we interact with software, allowing for more personalized experiences tailored to the customer's needs and preferences. It will enable the creation of text, speech, images, music, video, and code, and will be powered by a feed of the customer's own information. This will allow for a much more intuitive and accessible software experience, with the simple input question box at the center of most generative AI systems replacing the restrictive drop down menus of the past.

In a recent preprint paper, a group of researchers from Stanford University and Google have created a miniature virtual world similar to The Sims, where 25 characters, controlled by ChatGPT and custom code, live out their lives independently with a high degree of realistic behavior. This includes forming opinions, noticing each other, initiating conversations, remembering and reflecting on days past, and planning the next day. Humans can also interact with the agents, observing and intervening as they plan their days, share news, form relationships, and coordinate group activities. This research could be a prototype of a future where dynamic RPG characters interact in complex and unexpected ways, enabled by generative AI models like ChatGPT.

ChatGPT is a large language model developed by OpenAI that has shown potential in enhancing the efficiency and expediency of fact-checking processes. A recent research paper aimed to answer whether ChatGPT could help with this task and found that it accurately categorized statements in 72% of cases, with a higher accuracy in identifying true claims (80%) than false claims (67%). The performance also varied over time and across different sources.

In response to the release of OpenAI's ChatGPT, schools and universities around the world quickly denounced the software as a tool for cheating and blocked access to it from their networks. Despite initial panic that ChatGPT would undermine the way we test students, three months later the outlook is much less bleak as schools and universities have taken steps to ensure that students are not using the software to cheat.

Google CEO Sundar Pichai has announced plans to add conversational artificial-intelligence features to its flagship search engine, in order to stay competitive with chatbots such as ChatGPT and other search engines such as Microsoft's Bing. Pichai believes that the advances in AI will help Google answer a wider range of search queries, and dismissed the notion that chatbots posed a threat to Google's search business. He also mentioned that Alphabet, Google's parent company, is still working towards becoming 20% more productive, a goal set in September.

In short, the first country to ban an AI system was a fairly developed nation that had a legal framework in place to monitor and guide the evolution of AI. This decision was made through a judicial process of a dedicated government agency, based on a policy motivation rooted in the legal framework. This was done to protect the public from the potential dangers of AI, rather than out of fear of AI taking over the world.

Bloomberg has made an unprecedented move by introducing BloombergGPT, a proprietary AI model trained for financial tasks, to the world of finance. This model is powered by the immense amount of financial data that Bloomberg has amassed over the last forty years, and is designed to be a conversational and accessible chatbot. While this could bring great promise to the sector, it could also bring unforeseen consequences that could severely impact investments and drive irrationality in the financial markets.

OpenAI's ChatGPT and other generative AI technologies have been gaining a lot of attention lately, with many vendors claiming integration with them. However, it is important to be aware that many of these announcements are likely crafted carefully to imply a closer connection (and capability) to ChatGPT than they actually have, and that many of the high-profile LLMs (like GPT-3) are not trained on contact center use cases and are unlikely to be ready to go out of the box. It is important to do your research and be aware of the differences between generative AI and other natural language processing (NLP) tasks, so that you can evaluate generative AI solutions responsibly.

ChatGPT, OpenAI's AI-powered chatbot, has become a viral sensation and has inspired a number of startups to create their own versions of the technology. Y Combinator's Winter 2023 batch features four startups that are building a "ChatGPT for X". Yuma, one of these startups, is focused on providing ChatGPT-like AI systems that integrate with help desk software to suggest drafts of replies to customer tickets. Yuma was created by accident by founder Guillaume Luccisano, who was overwhelmed with demo requests after releasing the prototype in mid-December 2022. Yuma takes inspiration from ChatGPT's text-generating AI models, but is not a direct copy of the chatbot.

OpenAI's ChatGPT has been a popular language model since its introduction in November 2022, and since then, many tech companies, startups, and universities have created their own large language models (LLMs). Recently, OpenAI released ChatGPT plugins, creating an ecosystem of AI apps based on LLMs. LangChain, a library for building LLM applications, was released around October 2022, and in this article, I use it to build a voice-based ChatGPT clone called Talkie. Talkie is a Python Flask web application that runs on the desktop, and it uses a MediaRecorder to record the user's voice message into an audio Blob. Talkie then searches the internet for relevant information and responds based on what it finds. It can also access local files, like what I did with LlamaIndex in a previous article.

Expedia recently launched a plugin with OpenAI's ChatGPT, allowing users to plan trips on the ChatGPT site using Expedia's travel data and in the Expedia app. ChatGPT in Expedia provides recommendations on destinations, hotels, transportation, and activities, and automatically favorites hotels it recommends in the conversation. This integration is one of many that have launched in the wake of OpenAI's API for third party developers and release of its latest Large Language Mode (LLM) GPT-4, and is being used by companies like Expedia to make booking travel easier and more convenient.