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I am a Journalist-turned-Software Engineer. I love coding and the associated grind of learning every day. A firm believer in social learning, I owe my dev career to all the tech content creators I have learned from. This is my contribution back to the community.
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If youโre curious about how to build an intelligent agent using Model Context Protocol (MCP), youโre in the right place. In this post, Iโll walk you through how to: Create an MCP Server using FastMCP Expose a tool that calculates BMI Build a Clien...
In our previous tutorial, we built a restaurant customer support chatbot using OpenAI's Agents SDK. In this follow-up, weโll explore guardrailsโa critical feature that enhances AI chatbot safety and reliability. What Are Guardrails in AI Agents? Guar...
Video https://www.youtube.com/watch?v=UPBMkFSJdBI The Problem at Hand Uber's data platform processes approximately 1.2 million interactive queries monthly, with 36% of these coming from the operations organization. This groupโcomprising engineers...
Video https://www.youtube.com/watch?v=FgRGwnpd2HY Google's recent white paper on "Agents" has created quite a buzz. The paper explores the concept of AI agents and delves into their architecture and potential. Let's break down what this white paper...
I am Zahiruddin Tavargere (Zahere). A social-learner, here to learn, share and grow with the tech community.
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I am Zahiruddin Tavargere (Zahere). A firm believer in social learning, I owe my dev career to all the tech content creators I have learned from - this is my contribution back to the community.
Engineers, Product Managers - let me ask you a question.
How many real use cases of Generative AI can you come up with for your organization?
When I asked a few engineer/PM friends of mine. the answers I mostly got were around Chatbots and Knowledge management.
In our enthusiasm to introduce AI in our processes, we might not be framing the use cases well.
And that is the problem.
It seems prompt engineering is ๐ก๐ข๐ง the skill of the future but "๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ ๐ณ๐ผ๐ฟ๐บ๐๐น๐ฎ๐๐ถ๐ผ๐ป" is.
Oguz A. Acar, in his HBR article, argues that "problem formulation is a widely overlooked and underdeveloped skill for most of us".
"First, future generations of AI systems will get more intuitive and adept at understanding natural language, reducing the need for meticulously engineered prompts. Second, new AI language models like GPT4 already show great promise in crafting prompts โ AI itself is on the verge of rendering prompt engineering obsolete."
Acar writes that there are four key components for effective problem formulation:
Problem Diagnosis
Decomposition
Reframing
and Constraint Design
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