Artificial Inteligence Related Topics 
The Product Coalition
FEBRUARY 29, 2024
Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. They excel at crafting captivating content, translating languages, and summarizing information.
The Product Coalition
APRIL 3, 2023
AI is having its Cambrian explosion moment (although perhaps not its first), led by the recent developments in large language models and their popularization. link] Veterans in the NLP space are anxious about how suddenly every problem is an LLM problem. This meme sums it up nicely. Boom, you’re off to a great start.
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Mind the Product
DECEMBER 21, 2023
Read more » The post Deep dive: Engineering artificial intelligence for trust appeared first on Mind the Product. Explore the intricate challenges of building AI-native products that prioritize user trust.
UX Planet
FEBRUARY 22, 2024
The increasing incorporation of Artificial Intelligence has sparked a revolutionary shift in the way people interact with digital interfaces. With smart algorithms and intelligent assistants, that adapt dynamically to individual preferences, you can deliver tailored content, and provide real-time assistance.
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the whitepaper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
280 Group
JULY 17, 2020
So, what can we expect from Machine Learning? In this article, our guest writer Bastiane Huang, Product at Osaro, will help us better understand the promising opportunities, and limitations, of what Machine Learning can bring to our products. What Is Artificial Intelligence (AI) and Machine Learning (ML)?
280 Group
JULY 17, 2020
So, what can we expect from Machine Learning? In this article, our guest writer Bastiane Huang, Product at Osaro, will help us better understand the promising opportunities, and limitations, of what Machine Learning can bring to our products. What Is Artificial Intelligence (AI) and Machine Learning (ML)?
Advertiser: Data Robot
By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
Advertiser: Data Robot
Today’s economy is under pressure from inflation, rising interest rates, and disruptions in the global supply chain. As a result, many organizations are seeking new ways to overcome challenges — to be agile and rapidly respond to constant change. We do not know what the future holds.
Advertiser: Data Robot
But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In Data Robot's new ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning, we cover important issues related to IPA, including: What is RPA?
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Download this comprehensive guide to learn: What is MLOps? How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects? Why do AI-driven organizations need it?
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
Advertiser: Data Robot
In March 2020, the world was hit with an unprecedented crisis when the COVID-19 pandemic struck. As the disease tragically took more and more lives, policymakers were confronted with widely divergent predictions of how many more lives might be lost and the best ways to protect people.
Advertiser: Data Robot
You know you want to invest in artificial intelligence (AI) and machine learning to take full advantage of the wealth of available data at your fingertips. But rapid change, vendor churn, hype and jargon make it increasingly difficult to choose an AI vendor.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models. How to successfully navigate the bias versus accuracy trade-off for final model selection and much more.
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