Introduction The goal of this post is to deep-dive into LLM’s that are specialised in code generation tasks, and see if we can use them to write code. Note: Unlike copilot, we’ll focus on locally running LLM’s. This should be appealing to any developers working in enterprises that have data privacy and sharing concerns, but still want to improve their developer productivity with locally running models. To test our understanding, we’ll perform a few simple coding tasks, and compare the various methods in achieving the desired results and also show the shortcomings....

Introduction Tony Fadell is CEO of nest (bought by google ), and instrumental in building products at Apple like the iPod and the iPhone. The book is not about facts and science, but based on tony’s experience and deals with subjective concepts like how to build products, dealing with assholes, and how to hire etc. Overall, 4/5 stars for me, and I recommend reading it. It covers one strong individuals strong opinions, about how to deal with matters one must deal with when building impactful products....

Introduction I was first introduced to the concept of “second-brain” from Tobi Lutke, the founder of Shopify. The topic started because someone asked whether he still codes - now that he is a founder of such a large company. Tobi went on to explain that he spent the weekend writing some code to customise Logseq to his preferences, and that he’s an active member of the Logseq community. The following weekend, I setup Logseq and learnt its weird ways of working, and have since been an ardent user and fan of the Logseq/Obsidian methodology of building a “second-brain”...

Introduction The goal of this series of posts, is to form foundational knowledge that helps us understanding modern state-of-the-art LLM models, and gain a comprehensive understanding of GPT via reading the seminal papers themselves. In my previous post, I covered transformers via the original paper “Attention is all you need” that brought the innovation that made all this progress possible. This post will focus on GPT-3 and its predecessors GPT-1 and 2....

Introduction The goal of this series of posts, is to form foundational knowledge that helps us understanding modern state-of-the-art LLM models, and gain a comprehensive understanding of GPT via reading the seminal papers themselves. In my previous post, I covered some of the seminal papers that formulated sequence based models from RNNs to the Attention mechanism in encoder-decoder architectures. If you don’t know about them, or would like a quick refresher - I recommend reading through the previous post before continuing here....

Introduction ChatGPT has rightly taken the world by storm, and has possibly started the 6th wave. Given its importance, the rush to build new products and research on top is understandable. But, I’ve always liked to ground myself with foundational knowledge on how things work, before exploring anything additive. To gain such foundational knowledge, I believe understanding the progression of techniques and models is crucial to comprehend how these LLM models work under the hood....

Introduction Loss functions tell the algorithm how far we are from actual truth, and their gradients/derivates help understand how to reduce the overall loss (by changing the parameters being trained on) All losses in keras defined here But why is the loss function expressed as a negative loss? Plot: As probabilities only lie between [0-1], the plot is only relevant between X from 0-1 This means, that it penalises a low probability of success exponentially more....

A quick cheatsheet on python operations Slice: astring = "Hello World" print(astring[3:7]) # prints-> lo w print(astring[0:10:2]) # skips one character, prints -> Hlowr print(astring[::-1]) # reverse a string using step -1 Case astring.upper() astring.lower() Slicing complete list performs a copy spam_copy = spam[:] Zip to loop furniture = ['table', 'chair', 'rack', 'shelf'] price = [100, 50, 80, 40] for item, amount in zip(furniture, price): print(f'The {item} costs ${amount}') Multiple assignments...

Book Summary - Grit by Angela Duckworth The post is a book summary of the main bullet points from the book “Grit” by “Angela Duckworth” Components of Grit Angela breaks down grit in the following components:- Interest: I love what I do Practice: I will do what it takes to improve and become world-class Purpose: What I do is important for everyone Hope: I will keep going even when it’s difficult...