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Analytics Vidhya
MAY 13, 2024
And here comes a new contender, Watermelon AI. This AI tool was introduced within this competitive market […] The post Create Your Own GPT-4 Powered AI Chatbot Using Watermelon AI appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 3, 2024
To protect against these […] The post Building Responsible AI with Guardrails AI appeared first on Analytics Vidhya. However, people are increasingly using ChatGPT and other LLMs, which may provide prompts with personal identifiable information or toxic language.
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Analytics Vidhya
MAY 9, 2024
Introduction AI has shaken up the world with GenAI, self-learning robots, and whatnot! But with the boon, bane comes complementary…the AI strides, its power vast and its potential great, yet within its circuits lie shadows of concern.
Analytics Vidhya
MARCH 15, 2024
Introduction Software development is on the brink of a transformative shift as artificial intelligence (AI) continues to push the boundaries of what was once deemed impossible. Enter Devin AI, an AI software engineer developed by the innovative minds at Cognition.
Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)
We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. Key objectives: Introduction to the structures and ownership dynamics of data platform, analytics and AI teams, along with an exploration of various roles in the data ecosystem.
Analytics Vidhya
MARCH 23, 2024
Introduction Meet Devika AI: your new go-to buddy in the world of coding. That’s where Devika AI swoops in to save the day. You […] The post Devika AI: An Open Source Alternative to Devin AI appeared first on Analytics Vidhya.
Analytics Vidhya
MAY 15, 2024
At Google I/O 2024, Google introduced “AI Teammate,” an innovative feature powered by their Gemini AI technology. Designed for Google Workspace, AI Teammate promises to be a virtual co-worker, assisting with tasks and collaborating on projects.
Advertiser: Data Robot
AI is becoming ubiquitous. The number of critical touch points is growing exponentially with the adoption of AI. But with the incredible pace of the modern world, AI systems continually face new data patterns, which make it challenging to return reliable predictions. Brought to you by Data Robot.
Advertiser: Data Robot
In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. How AI modernizes demand forecasting, supply chain, and predictive maintenance.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization. But in order to reap the rewards that AI offers, it is essential that businesses first address how their organizations are set up, from their people to their processes. Building trust in AI.
Advertiser: Data Robot
An organization’s path to AI success can be full of obstacles, from a proper assessment of its own AI maturity, to a better alignment between business and technical teams, many factors can influence the outcomes. While AI progress is hard, companies don’t have to get stuck in an endless loop of inertia on their path to value-driven AI.
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. Are you ready to deliver fair, unbiased, and trustworthy AI?
Advertiser: Data Robot
Generative AI is taking the world by storm, but the questions that all CEOs, data leaders, and AI leaders are being asked are: What are we going to do about it, and what is our plan? The business and creative possibilities are practically limitless with generative AI.
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. The five key things to consider when looking for an AI vendor.
Advertiser: Data Robot
For businesses that are AI-driven, this trust hinges on the confidence that their AI solution can help them make their most critical decisions. In our eBook, Building Trustworthy AI with MLOps, we look at how machine learning operations (MLOps) helps companies deliver machine learning applications in production at scale.
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