I’m hosting three sessions diving into the essentials of AI, LLMs, and Generative AI, RAG with a focus on the transformative potential of Agentic AI. I’ll also demo how to build AI agents using .NET and Python, blending theory with hands-on practice. Whether you’re a developer, tech leader, or AI enthusiast, these talks will equip you with the knowledge to leverage these cutting-edge tools.
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I am excited to be a part of the “AI for Work-Life Balance: Helping Women Thrive in Agile Roles” event happening this Saturday, March 22, 2025, at Kochi Infopark! AI is transforming the way we work, and in agile environments, it plays a crucial role in enabling better work-life balance. I’m looking forward to joining a panel of inspiring leaders to explore how AI-driven solutions can empower women in tech and beyond. If you’re passionate about AI, Agile, and fostering inclusivity in the workplace, don’t miss this event! See you there! Join for free – https://lnkd.in/dTpjvkzj
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More details and registration – https://globalai.community/chapters/kochi/events/global-ai-bootcamp-2025-kochi/
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Since the launch of #DeepSeek, I have been evaluating different use cases across various domains and technology stacks. However, as of writing this post, I must say I am disappointed with its chat portal—though I am amazed by the R1 capabilities described in the paper. Now, coming to a sample comparison with #ChatGPT GPT-4o—I am still impressed with OpenAI’s efficiency. My query was: “Write a C# program in the most complex way possible to find the sum of two numbers.” DeepSeek Chat, as has been the case recently, showed busy servers, and after several attempts, I finally received a response…
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Solutions are always tailored to specific problems. There’s no one-size-fits-all approach. The techniques vary depending on needs like the level of customization, available data sources, and system complexity. The strategy should be based on these factors. Here are a few alternative approaches we can consider, if RAG is optional: Embedding-Based Search with Pretrained Models: This is a relatively easy approach to implement, but it doesn’t offer the same capabilities as RAG. It works well when simple retrieval is enough and there’s no need for complex reasoning. – Knowledge Graphs with AI Integration: Best for situations where structured reasoning and relationships…
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Technically, I am not a fan of this but tired of laughing without facial expressions throughout my career, especially when talking to sales teams. Thanks to ChatGPT, here is the most abused jargons.
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Verify Credential: https://coursera.org/share/04a64b6baff82d00ce17a04e94726d31
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With this article, the issues and solutions I am trying to address are: On a high level, below is the list of API tasks we have to do to achieve this. We have to make requests to three calls (one less if you have Customer ID already). High level Power Automate flow See below the high level flow I have created to demonstrate: Prerequisites Detailed Flow In this example, I am using a HTTP Request Trigger, which starts when we POST a file and a email-id (I used it to represent a customer in HubSpot contact form). I am doing…