Everything will be 200 OK :)

      Welcome back. In  Part 2  of the series, we looked at Large Language Model (LLM) that forms the backbone of GenAI applications. In this post, we continue our journey further by looking at Prompt Engineering. This is extremly useful as it would dictate how effectivly we can communicate with the underlying LLM for it to provide us contextually relevant information that is ccoherent to the user request. Prompt Engineering          Communication forms an integral part of our daily lives. For them to be effective, we usually try to be varying in the quality of conversations taking place, find ourselves either specific, verbose,  vague, etc. Based on how we communicate, we often get the response from the other person in same way, or sometimes in response of "I didn't understand" or "what do you mean" kind of vibe. Communicating with a LLM is no different when it comes to AI applications. The end user presents a prompt (in form of te...

      Welcome, In this post of the series we continue our journey by looking into the  wonderful world of Generative AI. Specifically focussing our core towards Large Language Model (LLM) that form the backbone of GenAI applications. We will understand on high level their way of working, factors to consider when choosing a foundation model, and certain options available in fine tuning its behaviour.  Large Language Model (LLM)        These are AI models composed of billions and billions of neurons that are pre-trained upto a certain moment in time from wide range of sources, such as internet, publications, research materials, etc . While they are very powerful, their pre-trained nature imposes a limitation as depending on a use case they may not be capable of answering anything beyond its finite knowledge base. In subsequent posts we will cover sections that can help mitigate this based on our use cases. The figure below presents an evolution...

 Artificial Intelligence (AI)....We live in the world where technology trends adapts in one form or another through our needs as humanity evolves. However the field of AI isn't a recent discovery. It has existed for years and recently gained even more visibility through its offering aimed to make our lives easier, depending on how we adopt it.      The first part of the series will focus on providing a high level overview of sorts into the world of AI so we have clarity on its eco-system before we start to get our hands dirty with playground of how we can use it for our custom applications.   Ecosystem The eco system of Artificial Intelligence is composed of various sub-sections. Figure below should provide you a concise summary of its elements.   Let's have a summarized break down. Note: There exists plethora of material on web to dive into every topic, I won't be covering it all, as my grand children will have their children by the time I am done wri...