bangalorejug / bangalorejug.github.io

Website of Bangalore JUG
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[Tech Talk]: Interested topics for Architects #15

Open nagkumar opened 1 month ago

nagkumar commented 1 month ago

Mode of the Talk

In Person

Abstract of the Talk

If we need to have a Separate Architectural Topic can be discussed here..pl. share your views..

It is more of an information capture as of now before we can decide to go or no go, no decision taken yet either way..however, it is important to brainstorm and know the pros, cons and challenges...

Speaker(s) Bio

Java Organisers Group

nagkumar commented 1 month ago

14 linked

nagkumar commented 1 month ago
image
nagkumar commented 1 week ago

Thanks, Jayashree and Tejas for the walkthrough. It was a wonderful discussion.

Team.

We are these talks fits our need for JAVAFEST for below reason

Topics are in line with the community-selected topic list Both are already presented in JUG earlier and well received with few suggestions Speakers are ready to consider the suggestions and improvise the content

If you all are ok. Let's confirm the talks and start the preparation that reflects value added for the Springboot audience are expecting

My 30th Aug 2024 WhatsApp message

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nagkumar commented 4 days ago

With workshops in place we shall convert sivas talk as per his original plan as workshop rather than talk.. also we have another workshop from Lohit, details are

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Summary of the Workshop

The "Building RAG (Retrieval-Augmented Generation) Chatbot" workshop offers a comprehensive, hands-on experience in developing intelligent chatbots that combine retrieval-based and generative AI techniques. Participants will learn to harness the power of LLMs and vector databases, to create chatbots that can efficiently retrieve relevant information from large datasets and generate coherent, contextually appropriate responses. The workshop covers essential concepts such as vector stores, retrieval mechanisms, prompt engineering, and the integration of generative models.

Outcome By the end of the session, attendees will have built a fully functional RAG chatbot and gained the skills to deploy similar systems in real-world applications