Zahiruddin Tavargere’s Post

Why go to a paid summit when the same content is available for free online? These events offer curated content that you probably wouldn't make a deliberate effort to search for online. We are so tied to tasks and problems in our domain that the content we consume every day revolves around that. Attending these events allows you to see how the industry is using technology to solve problems in their domains. Some of their implementations could spark an idea for your current problems or maybe trigger a completely new solution. Here are my notes from some sessions that I liked. #DataHackSummit #AnalyticsVidhya #GenAI

Interesting take on Enterprise AI Agent architecture - AgentMesh. https://lnkd.in/g8Bj-4Wt

In today's rapidly evolving world, adaptability is no longer a choice but a necessity. From constant learning to embracing change, find out why cultivating an adaptive mindset is crucial for success in any profession. #theadaptiveengineer

Banking and financial institutions appear to be the most active industries investing in AI agents. They also happen to be among the riskiest. It'll be interesting to see insights as these agents mature in production. Perhaps next year? https://lnkd.in/gBjwmjDk

🚀How to create 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗲𝗱 𝗮𝗴𝗲𝗻𝘁𝘀 for your 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 based on their 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝘀? Understanding the Dataset Alignment Method for creating agent profiles is key. You can learn more about how this method can tailor customer interactions to match individual needs and preferences. Link in comments

While conversing with fellow AI enthusiasts at this event, it became clear to me that the field of GenAI is incredibly nascent, presenting us all with similar challenges in developing AI solutions. Though the scale may vary, the underlying design patterns often mirror one another. It was nice interacting with you as well Chinmayananda Sahu.

Imagine an enterprise agentic chatbot that caters to several domains and several domain-based tasks. Generating handcrafted profiles for each agent could be a lot of manual effort. If you have the context of each domain and the underlying tasks, you could use an LLM to generate the profiles for you. You can save the profile in JSON/YAML config files and leverage it at runtime. I talk about the LLM-Generated Agent Profiles in my latest article. Link: https://lnkd.in/gVTV7pAK #artificialintelligence #aiagents #llm

At the heart of creating AI Agents lies a critical, often understated step: profile creation. This is not just about giving an agent an identity, but about defining its capabilities, behaviors, and interactions. In this article, I talk about the Handcrafted Method of agent profiling. link in comments #AIAgents #LLM #AI #GenAI