In this episode - we discover the Retrieval Augmented Generation (RAG) process which allows us to train our LLMs using our data. In this short episode we cover what is this about and how can we use it.

If you are using ChatGPT or Bard - you are "prompting" the AI to get some answers. Not all prompts are made equal. The response of the LLM depends heavily on the quality of the prompt and the context given to it. Thus its worth while spending some time understanding prompt engineering and how to do it properly.

Referencing the classic episode from IT Crowd - we take our first dive into the world of LLMs by talking about neural nets and how they form the basis of the LLMs we know today. We touch on the famous paper - All you need is attention, and then talk about what LLMs under the hood are really about.

After a year long break - Im back with an update on Gemini and Gen AI taking over. In this episode I talk about the over all impact of Gemini and LLMs and how can we use them better in our daily lives.

I had a great chat with Lamak, who works at one of the startups in Karachi called Bazaar Tech. We discussed several interesting topics including team structures, full stack development, performance reviews and more! Thanks Lamak for taking time out for this episode of EngineeringLeadershipPakistan.

I had a great chat with Asadullah about his time in Airlift where he was an engineering manager leading a specific team. We talked about several management related topics, from the values at Airlift, life there as an engineering leader,  performance management, hiring, engineering productivity and more! 

You can also watch this on the KarachiWalaDeveloper Youtube channel.

This is the first episode of the all new series where I will be interviewing Engineering Leaders in Pakistan. We will be talking about leadership topics like CTO roles, hiring, performance reviews, feedback and more. In this episode we have Hunain Kapadia from Smart Benefits sharing about this experience building the some awesome tools in the insurance space.

Software Engineers require instructions in order to build apps and tools. And most of us don't know what these instructions should look like. One of the ways these instructions can be shared is in the form of user stories, and it's not just about writing a bunch of text, but comprehensive check list of how this should be structured so the right information can be given to the builder. Ofcourse its a two way effort Product and Engineering need to work closely to build up such requirements so they make sense from a functionality perspective, and a technical perspective.

This session is based on the article linked below:

https://martinfowler.com/articles/product-backlog-building-canvas.html

Google, or any of the FAANG companies for that matter, are an awesome place to work. When I started by bachelors - I was thinking of graduating and then getting a job there, or build a pathway to a job there. However by the time I graduated, my mind set had changed. In this episode I explore my thoughts and reasoning on what changed my mind and why I havnt applied since.

With startups going bust left right and center, high inflation and a global recession - are startups still the right choice to be at? In this episode I talk about the difference between the companies treating engineering teams as a profit center vs a cost center, to show why startup engineering teams as usually a better choice even if there is a slightly higher risk being there.