Analytics Vidhya
MAY 1, 2024
Amazon Web Services (AWS) has created yet another wave in artificial intelligence (AI) with its new generative AI-powered assistant, Amazon Q. This new AI tool is launched in three variations – Q Developer, Q Business, and Q Apps – catering to the varied needs of businesses, developers, and app builders.
Analytics Vidhya
APRIL 25, 2024
Cohere, a leading figure in AI innovation, has unveiled a new toolkit for enterprise AI. This new toolkit is aimed at speeding up the pace of generative AI application development within the enterprise sphere. It offers developers a comprehensive set of tools and resources to expedite their projects.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
APRIL 27, 2024
Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. appeared first on Analytics Vidhya.
Analytics Vidhya
APRIL 4, 2024
Explore the revolutionary field of Generative AI by enrolling in one of our top ten carefully chosen courses! Topics range from comprehending the fundamentals of Generative Adversarial Networks (GANs) […] The post Top 10 Free Generative AI Courses appeared first on Analytics Vidhya.
Advertisement
Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?
IBM Journey to AI blog
APRIL 15, 2024
Manufacturers are being called to reduce their carbon footprint, adopt circular economy practices and become more eco-friendly in general. An inaccurate AI prediction in a marketing campaign is a minor nuisance, but an inaccurate AI prediction on a manufacturing shopfloor can be fatal.
Analytics Vidhya
MAY 6, 2024
Introduction Generative AI is deeply changing the digital workplace. These AI technologies are crucial for creating more efficient workflows and creating a work environment that adapts quickly to user needs. It offers innovative solutions that automate complex tasks, boost productivity, and simplify various operations.
Advertisement
Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.
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: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology. Don't miss out on this opportunity to stay ahead of the AI curve! Save your seat today and be part of the tech conversation that's shaping the future.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
Advertisement
“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.
Expert insights. Personalized for you.
329 
Let's personalize your content