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Exploring LLM Apps: the LangChain Paradigm and Future Alternatives

Large language models are performing increasingly impressive tasks, but practitioners are still actively researching how to optimize the functionality of LLMs. Today we’ll be exploring agentic LLMs  and the current LLM LangChain paradigm. “Agentic AI” might be the next natural macro AI trend after “generative ai”.  Read on to discover where the current LangChain paradigm […]

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Unlocking the Power of AI in Financial Services: Fraud Prevention with Seldon & Effectiv

The financial sector is witnessing an alarming surge in fraudulent incidents, creating a critical concern for the industry. In 2021 alone, fraud shot up by 70%, causing losses of over $5.8 billion. This troubling trend, paired with emerging threats like AI-based scams, makes it crucial to use the best tools available. In this post, we’ll

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The EU AI Act and its Potential Impact on Enterprises Harnessing the Power of AI

Artificial intelligence (AI) is everywhere and is becoming increasingly present in our daily lives. From personalized recommendations on Netflix to virtual assistants on our smartphones, AI is changing the way we interact with technology. With our growing reliance on AI comes important questions about how it should be regulated and used. In this blog, we’ll

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Seldon’s $20 million Series B Fundraise: What it means for our Customers, Community and Roadmap

AI is everywhere, and at Seldon, we’re enabling our customers to put AI in everything.  The benefits of this revolutionary technology are becoming increasingly evident, and we’re seeing many more companies roll out AI-powered solutions to innovate within their core products and to drive efficiencies across GTM and business operations. At this exciting tipping point

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The Gender Data Gap in AI: Confronting Bias in Machine Learning

AI and gender bias is a prevalent issue that impacts several aspects of our lives: from the design of products to the type of services provided to each respective gender. It often reflects and amplifies existing gender biases and stereotypes in society.  The gender data gap can cause significant issues and complications with results of

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Using Explainable AI (XAI) for Compliance and Trust in the Healthcare Industry

A fundamental barrier the Healthcare industry faces in adoption of Machine Learning is a lack of trust and compliance for artificial intelligence solutions (AI). Increased calls for regulation, demonstrated by the FDA’s most recent guidance, pose a moral dilemma for healthcare providers trying to serve their patients. Explainable AI (XAI) in healthcare can help build

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What is Multi-Model Serving and How Does it Transform your ML Infrastructure? 

Multi-model serving (MMS) is cutting-edge functionality with massive potential to enable a team to scale the deployment of models on a small infrastructure footprint by intelligently scheduling models to shared servers. This is made even more effective by activating “Overcommit” allowing servers to handle more models than can fit in memory. This is done by keeping

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How Can the Financial Services Industry Trust AI?

How can financial services teams scale AI/ML in a manner that promotes confidence, increased automation and financial returns? And what does AI in finance look like? The level of maturity and the speed of adoption varies across different territories globally. This is largely due to different talent pools, operating models and regulation that Financial Services organizations

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