Agentic AI Automated Pull Request Code Refactoring against Guidelines
Giving a high level description, design, code and sample results for an Agentic AI solution that leverages current agentic frameworks,…
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Featured Articles & Tutorials
Dive into our latest hands-on content covering everything from beginner guides to advanced Agentic AI research.
Conversational Chatbot with Intent, Chat history context using LLM API
Simple code I wrote a while back to build a conversational chatbot using any LLM API which uses historic conversation…
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Prompt Engineering. Tree of Thought + Chain of Thought
Prompt engineering is a dynamic, creative and powerful skill to learn in current AI LLM era. LLMs are a powerful…
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Using AI 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…
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RAG Vector db(FAISS) Llama3 User Query Process Insurance Claim
Combine RAG and Vector db (FAISS) with LLM model to extract relevant data from latest documents for a User Query…
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Databricks for Data Science MLOps – model training deploy
Databricks is a good tool for building, training and deploying models. Easy to learn and use (1-2 days) https://github.com/datawisdomx1/DataScience-AI-ML-Ops-Platforms-Tools
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Comparing AWS, Azure, Google Cloud for AI/ML model training, MLOps, GPU access
I have been experimenting with the main #cloud providers – #AWS, #Azure, #Google for #AI #ML model training using #CPUs…
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Generate Product Description SEO CTA Twitter Keywords from Images- GenAI Multimodal API (OpenAI gpt-4o)
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenAI…
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Faster R-CNN model, ResNet-50 backbone, COCO dataset, GPU- Extract Image Product Attributes
Objective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using…
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AI ML DL Marketing Models – Product attribution, Churn, Marketing mix
Product Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like…
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Future Automation- GPT4o OpenAI LLMs Multimodal AI
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry…
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Github repo- AI ML LLM Multimodal code, theory, research, projects
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, #datascience research…
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Multimodal model for healthcare
I am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn…
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AI in healthcare – thoughts, articles
#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not…
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OpenAI, LLM – Q*, AGI, Self Taught Reasoning, Optimizing, Synthetic data
Trying to catch up on all the news around what happened at OpenAI. There are a lot of rumours around…
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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…
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Ideas Articles on Healthtech Startups
I think there is scope for more AI/data analytics based healthtech startups that can provide better patient health lifecycle management…
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Innovative Startup Building and Networking
Created a new meetup group for open, informal and collaborative networking event for anyone interested in building innovative startups in…
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GMO Grantham latest on the Super bubble
Another good one from #GMO Grantham on the current super #bubble. 2023 will be another #bear #market in my view.…
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Startups and Data Science – 2023
Finally got to catchup on some startup and real data science activity after a few months. Wanted to put together…
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RoboAdvisory Algorithm using Macroeconomic data
Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank…
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Clustering- Unsupervised learning- Types, Metrics
This article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and…
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Classification- Types, Metrics and Comparison via Pipeline GridSearchCV
This article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how…
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Regression- Types, Metrics, Comparison via Pipeline GridSearchCV
This article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how…
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Data Science Process
Most data science problems can be solved by following a standard process Process Flow diagram with some details is given…
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Common NLP Tasks and Libraries
Common NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is…
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Computer Vision CIFAR10 Image Classification using Tensorflow and CNN
Using Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different…
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Computer Vision People Counter using OpenCV, YOLO5, Pytorch
Computer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset…
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AI Robotics in Restaurant, Food Beverage industry
Sharing a few articles related to #AI and #Robotics in #Restaurant #Food #Beverage industry. There is a demand for #automation…
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DALL.E – Creating Images from Text
OpenAI is a well known AI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar…
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How A.I. Is Transforming Golf Equipment
The role of artificial intelligence in golf club design While we know of many business applications of AI, the field…
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John Deere self-driving tractors
Interesting article on automation in farming. Big area of interest across the world as labour, supply chain is getting disrupted…
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Data Engineers vs Data Scientists
Interesting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building…
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NLP Transformers – Attention Is All You Need
In this article I’d like to share the original paper related to the concept of #Transformers in #NLP for #AI…
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USDA (United States Department of Agriculture) – AI in Agriculture and Food Supply Chain
USDA (United States Department of Agriculture) has published a series of articles and documents on how it plans to use…
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When not to use Deep Learning – LSTM (Long Short-term Memory) networks
This article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural…
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Market Correction – Risk assets sell-off
This 10% #selloff is just the beginning. Even a 50% #correction would only get to pre #covid levels, when #global…
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AI/Deep Learning applications in healthcare industry
I am sharing this article to show some possible uses for AI/Deep Learning in healthcare industry. Healthcare industry has traditionally…
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RandomForest Regression model for predicting US 10 year Treasury Bond Prices using Macroeconomic Data
Building a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It’s the other process steps that require…
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DataWisdomX – Data Science course – Introductory videos to all lectures
Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what…
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Data Science – End 2 End Beginners Course Part 1 – Machine Learning and Data Analytics
Announcing the launch of our online course on Udemy and other online platforms. Udemy course link is – https://www.udemy.com/course/datascience-e2e-beginnerscourse-machinelearning-dataanalytics/learn/lecture/25000096#overview Data…
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KDnuggets – Top Data Science, Machine Learning Methods Used, 2018/2019
Very interesting post by KDnuggets on machine learning methods being used. Lot of increase in usage for deep learning neural…
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ML Map – Choosing the right algorithm for your problem
Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job.…
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Geoffrey Hinton, Father of Deep Learning, research articles page
http://www.cs.toronto.edu/~hinton/papers.html One of his earlier articles written in 1986!Learning internal representations by error propagation. http://www.cs.toronto.edu/~hinton/absps/pdp8.pdf Another one of his earlier articles,…
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Useful websites for Data Science
https://www.kdnuggets.com/ https://towardsdatascience.com/ https://www.analyticsvidhya.com/ https://www.kaggle.com/ https://www.datacamp.com/community/data-science-cheatsheets
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Top Free Books for Data Science Basics
There are a large no of free books available online to learn the basics of data science. Very good to…
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Applying NLP algorithms to Predict US Fed Fund Rate Decision
Objective Observe and improve the results of applying NLP algorithms on FOMC meeting minutes to predict Fed Fund rate decision…
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