ODSC - Open Data Science

FEBRUARY 17, 2023

Five Ways to Safely Use Generative AI From workers using chatbots as research assistants to creating art through image generators and more, here are a few ways that you can safely use generative AI. Revolution of AI: Will ChatGPT Replace Search Engines in 2023? Here’s why that may or may not be true.

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IBM Journey to AI blog

JUNE 23, 2023

AI analyzes financial statements, notes, disclosures and other and applicable data, then translates and interprets the data to provide context-rich answers to your questions. Figure 3 highlights ancillary benefits that conversational AI technology provides.

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Snorkel AI

JUNE 7, 2023

A Practical Guide to Data-Centric AI – A Conversational AI Use Case Daniel Lieb, senior director of model risk management at Ally Financia l, and Samira Shaikh, director of data science at the same company, showed how their organization is using data-centric approaches, generative AI and LLMs to set up a conversational AI for Ally Auto customers.

Data Scientist 52

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Snorkel AI

JUNE 7, 2023

A Practical Guide to Data-Centric AI – A Conversational AI Use Case Daniel Lieb, senior director of model risk management at Ally Financia l, and Samira Shaikh, director of data science at the same company, showed how their organization is using data-centric approaches, generative AI and LLMs to set up a conversational AI for Ally Auto customers.

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Wisdom Works

JUNE 13, 2023

in November 2022 and the follow up GPT 4 in May 2023 we have seen a mix of excitement and fear of what AI is capable of. From AI alarmists, to AI evangelists, we are seeing the full spectrum of hype around the generative and conversational AI. With the release of chatGPT (GPT version 3.5)

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Wisdom Works

JUNE 13, 2023

in November 2022 and the follow up GPT 4 in May 2023 we have seen a mix of excitement and fear of what AI is capable of. From AI alarmists, to AI evangelists, we are seeing the full spectrum of hype around the generative and conversational AI. With the release of chatGPT (GPT version 3.5)

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AI AI Responsible AI Artificial Intelligence 52

ODSC - Open Data Science

JANUARY 24, 2024

In 2023, we saw AI continue to make its mark on various industries, from healthcare and retail to manufacturing and finance. So let’s take a look at how AI is changing some key industries, and find insights on how AI will shape the future.

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Topbots

JULY 7, 2023

Let’s observe the messages stored for our sample conversation: [system]: You are ChatGPT, a large language model trained by OpenAI, based on the GPT-3.5 Knowledge cutoff: 2021–09n Current date: 2023–04–07. Transparency and security are key in building trust and ensuring responsible AI usage. architecture.n

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Marktechpost

JULY 15, 2023

Conversational AI refers to technology like a virtual agent or a chatbot that use large amounts of data and natural language processing to mimic human interactions and recognize speech and text. In recent years, the landscape of conversational AI has evolved drastically, especially with the launch of ChatGPT.

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ODSC - Open Data Science

JANUARY 11, 2024

To say that 2023 was a big year for AI is an understatement. During the last year, the world had to begin learning how to operate in a post-AI world. So let’s take a look at the top AI stories and AI news that shaped 2023 and in doing so, we may see the direction of AI moving forward.

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Snorkel AI

MAY 31, 2023

For instance, if you’re interested in a problem like testing a conversational AI solution or detecting out-of-distribution data, your ability to do that and reason about it is determined by your ability to have a great dataset. Registration is now open for The Future of Data-Centric AI 2023. Learn more, live!

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Snorkel AI

MAY 31, 2023

For instance, if you’re interested in a problem like testing a conversational AI solution or detecting out-of-distribution data, your ability to do that and reason about it is determined by your ability to have a great dataset. Registration is now open for The Future of Data-Centric AI 2023. Learn more, live!

Data Drift 52

Data Drift Machine Learning ML Data Quality 52