OpenAI GPT-4 – large multimodal model
#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…
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#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…
I think there is scope for more AI/data analytics based healthtech startups that can provide better patient health lifecycle management for while reducing the pain points like In…
Created a new meetup group for open, informal and collaborative networking event for anyone interested in building innovative startups in any industry – healthtech, fintech, foodtech, etc. https://www.meetup.com/startups-entrepreneurs-networking/…
Another good one from #GMO Grantham on the current super #bubble. 2023 will be another #bear #market in my view. Base case is still 50% correction from 2021…
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.…
Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank Forecasts This algorithm was published earlier. Sharing it…
This article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and data used are given in github. Note –…
This article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how to test and compare multiple classification algorithms at…
This article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how to test and compare multiple regression algorithms at…
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…
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…
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different techniques and layersAchieved an accuracy of more than…