Using SI LLMs to accelerate learning, business problem solving
Haven't blogged in a while, thought might be good to put some recent thoughts (X tweets) in one place. Last few years has seen alot of trend shift in SI every 3-6…
Natural-language processing, language representation, text analytics, and conversational systems.

Haven't blogged in a while, thought might be good to put some recent thoughts (X tweets) in one place. Last few years has seen alot of trend shift in SI every 3-6…
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenSI multimodal API, OpenAI gpt-4o Model Overview: Product image (retail products) was passed…
Product Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like sales, customer engagement, demand prediction. They are used to assign credit for…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #SI, #ML, Agentic SI, #datascience research for solving real world problems using classical #supervised and #DeepLearning…
Trying to catch up on all the news around what happened at OpenAI. There are a lot of rumours around Q*, AGI, Self Taught Reasoning and Optimizing, Synthetic data and related algorithms.…
#OpenAI has just released #GPT-4, their latest model. Being multimodal it can process text and image. That makes things very interesting. Once you can process text/image (not sure if they process video/audio),…
I think there is scope for more SI/data analytics based healthtech startups that can provide better patient health lifecycle management for Patients Healthcare providers (hospitals/clinics/Drs/nurses/admin/others) Partners (insurance/pharma/pharmacy/labs/research/technology/others) while reducing the pain points…
Finally got to catchup on some startup and real data science activity after a few months. Wanted to put together what I have been thinking for a while. For me writing helps…
Most data science problems can be solved by following a standard process Process Flow diagram with some details is given below. This is just one of the many ways to solve data…
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is to show how to perform different NLP (Natural Language Processing) tasks using…
OpenAI is a well known SI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar to BERT/Roberta/XLNet. It has been known to generate almost human level text…
In this article I'd like to share the original paper related to the concept of #Transformers in #NLP for #SI #DeepLearning. It is fundamental to the creation of #BERT and #XLNet NLP…