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.
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.
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Intercom, Inc.
SEPTEMBER 9, 2022
In the past five years, we’ve seen neural network technology really take off into its own. We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid , if we can pick his brain for today’s episode. It’s all about artificial intelligence and machine learning.
The Product Coalition
MARCH 12, 2022
Photo by Jackson So on Unsplash Artificial intelligence (AI) is changing the way businesses operate across industries, with companies of all sizes using AI for social media and business operations and providing better experiences for their customers. What is artificial intelligence? How AI improve business efficiency?
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.
The Product Coalition
MAY 26, 2021
Artificial intelligence is the most suitable choice to succeed in all challenges in learning different things. AI technology in education develops your learning method properly. AI-powered learning techniques help teachers to examine the grasping power of learners.
The Product Coalition
APRIL 11, 2022
According to Gartner , 85% of machine learning solutions fail because they use raw data. Data scientists work in isolation from operations specialists, and enterprises spend up to three months deploying an ML model. In this article, we will tell you what MLOps is and why businesses need to implement machine learning solutions.
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
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Collecting and accessing data from outside sources.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
Advertiser: Data Robot
The risk of bias in artificial intelligence (AI) has been the source of much concern and debate. Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. This often ends up involving meticulous adjustments to prompts.
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