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Anthropic’s Claude improves on ChatGPT, but still suffers from limitations

TechCrunch

Anthropic , the startup co-founded by ex-OpenAI employees that’s raised over $700 million in funding to date, has developed an AI system similar to OpenAI’s ChatGPT that appears to improve upon the original in key ways. Riley Goodside, a staff prompt engineer at startup Scale AI, pitted Claude against ChatGPT in a battle of wits.

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United Airlines’ AI strategy: The airline that makes decisions fastest wins

CIO

Much of this work has been in organizing our data and building a secure platform for machine learning and other AI modeling. We can emphasize safety with without scaring people, and the AI tool is learning to make the right word choice. United GPT, our internal chat GPT, assists managers to write evaluations.

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How to use ChatGPT to summarize a book, article, or research paper

Dion Hinchcliffe's Web 2.0 Blog

If you're confronted with a long document or a lot of complicated text, here's how to use ChatGPT to summarize the key points. AI chatbots like …

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Marsh McLennan IT reorg lays foundation for gen AI

CIO

The team opted to build out its platform on Databricks for analytics, machine learning (ML), and AI, running it on both AWS and Azure. The firm had a “mishmash” of BI and analytics tools in use by more than 200 team members across the four business units, and again, Beswick sought a standard platform to deliver the best efficiencies.

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ChatGPT isn’t an AI strategy—but it should be a strategic tool

CIO

By Bryan Kirschner, Vice President, Strategy at DataStax For all the deserved enthusiasm about the potential of generative AI, “ ChatGPT is not your AI strategy ” remains sound advice. That said, it’s still worthwhile to think about how to use large language model (LLM)-powered tools like ChatGPT in more strategic ways.

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Machine learning for Java developers: Algorithms for machine learning

InfoWorld

Large language models like ChatGPT and Bard have raised machine learning to the status of a phenomenon. Tech companies are investing heavily in machine learning, so knowing how to train and work with models is becoming essential for developers.

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When it comes to large language models, should you build or buy?

TechCrunch

Tanmay Chopra Contributor Share on Twitter Tanmay Chopra works in machine learning at AI search startup Neeva , where he wrangles language models large and small. Companies of all shapes and sizes across industries are rushing to figure out how to incorporate and extract value from this new technology.