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OpenAI connects ChatGPT to the internet

TechCrunch

OpenAI’s viral AI-powered chatbot, ChatGPT , can now browse the internet — in certain cases. OpenAI today launched plugins for ChatGPT, which extend the bot’s functionality by granting it access to third-party knowledge sources and databases, including the web. Meta’s since-disbanded BlenderBot 3.0

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5 ways to deploy your own large language model

CIO

The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English. There’s no perfect solution.

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Gen AI without the risks

CIO

ChatGPT, Stable Diffusion, and DreamStudio–Generative AI are grabbing all the headlines, and rightly so. So, does every enterprise need to build a dedicated AI development team and a supercomputer to train their own AI models? Communities like Hugging Face offer a huge range of open-source models and applications.

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The AI continuum

CIO

ChatGPT has turned everything we know about AI on its head. Generative AI and large language models (LLMs) like ChatGPT are only one aspect of AI. In many ways, ChatGPT put AI in the spotlight, creating a widespread awareness of AI as a whole—and helping to spur the pace of its adoption. AI encompasses many things.

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Regulatory uncertainty overshadows gen AI despite pace of adoption

CIO

These complaints, filed by a variety of different copyright holders, allege the companies of training their AIs on copyrighted data—images, code, and text. In July, for example, New York City started enforcing new rules about the use of AI in hiring decisions. One option, however, is to use open source software.

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The year’s top 10 enterprise AI trends — so far

CIO

With a pre-trained model, you can bring it into HR, finance, IT, customer service—all of us are touched by it.” And at the end of March, Italy banned ChatGPT entirely, before unbanning it again about a month later. Traditional ML requires a lot of data, experienced data scientists, as well as training and tuning.

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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Given the importance of being able to control data access and respect privacy and regulatory concerns while harnessing GenAI’s tremendous potential, Dell Technologies and Intel have been investigating GenAI implementations, open-source models, and alternatives to trillion-plus parameter models. million in compute alone 2.