Kartheek AkellaUnlocking the Power of Prompt Engineering: A Guide to Steering LLMs for Optimal ResultsPrompt Engineering, also known as In-Context Prompting, refers to methods for how to communicate with LLM to steer its behavior for desired…Jan 12Jan 12
Kartheek AkellaThe power of Monte Carlo: How to predict stock prices with PythonMonte Carlo estimation is a statistical method used to make predictions about the future prices of a stock ticker. The technique uses a…Dec 5, 2022Dec 5, 2022
Kartheek AkellaUnderstanding Attention (Without Fuss)I bet all of us have recently been aware of the drastic increase in usage of TRANSFORMER and transformer-based models. We have transformer…Feb 21, 2022Feb 21, 2022
Kartheek AkellainAnalytics Vidhya“SimSiam” Paper ExplainedIn recent years, the area of self-supervised representation learning is very popular and has shown to be very effective in improving the…Jan 3, 20211Jan 3, 20211
Kartheek AkellaImplementing Auto Encoder from Scratch using PyTorch in 4 stepsAs per Wikipedia,Aug 24, 2020Aug 24, 2020
Kartheek AkellainAnalytics VidhyaUnreasonable Effectiveness of fast.aiAre you like me? Started very enthused about implementing an idea or a model, then got stuck in library issues with PyTorch, Tensorflow or…Jul 30, 2020Jul 30, 2020
Kartheek AkellaImplementing the TF-IDF Search EngineA straightforward way to make a search engine is using a vector space model (VSM). In this post, let’s look at the concept of VSM and…Jan 20, 20203Jan 20, 20203
