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Harnessing LLM chatbots: Real-life applications, building techniques and LangChain’s Finetuning

Data Science Dojo

Challenges in traditional AI chatbot development: Role of LLMs The current practices of building AI chatbots have limitations when it comes to scalability. Building an efficient LLM application using vector embeddings Vector embeddings are a type of representation that can be used to capture the meaning of text.

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Implementing Gen AI for Financial Services

Iguazio

While building gen AI application pilots is fairly straightforward, scaling them to production-ready, customer-facing implementations is a novel challenge for enterprises, and especially for the financial services sector. What is the Potential Value of Gen AI and Analytics for Financial Services? View the entire webinar here.

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How to unlock a scientific approach to change management with powerful data insights

IBM Journey to AI blog

Grasping these opportunities at IBM, we’re increasingly building our specialism in process mining and data analysis tools and techniques we believe to be true ‘game changers’ when it comes to building cultures of continuous change and innovation. Starting from the top: Focusing on the right change and making it feel right.

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Top Tools and Best Practices for In-App Customer Support

Chatbots Life

Buying your product or service is only the first step in a customer’s relationship with your business. If you want your business to thrive, you must focus on building more of these long-term relationships. In this blog post, we are going to learn about: What is in-app support? One way to do this? Essential in-app support tools.

AI 65
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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

However, when building generative AI applications, you can use an alternative solution that allows for the dynamic incorporation of external knowledge and allows you to control the information used for generation without the need to fine-tune your existing foundational model. license, for use without restrictions. We use an ml.t3.medium

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Accelerating AI & Innovation: the future of banking depends on core modernization

IBM Journey to AI blog

With the power of AI and machine learning, financial institutions can leverage predictive analytics, anomaly detection and shared learning models to enhance system stability, detect fraud and drive superior customer-centric experiences. This shift toward data-driven economies places embedded finance at the core of financial services.

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Learnings From Building the ML Platform at Mailchimp

The MLOps Blog

In this episode, Mikiko Bazeley shares her learnings from building the ML Platform at Mailchimp. Before that, she was building machine learning platforms at MailChimp. How to transition from data analytics to MLOps engineering Piotr: Miki, you’ve been a data scientist, right? Nice to have you here, Miki.

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