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,…
Read MoreExplore Agentic AI, Machine Learning, Deep Learning, NLP, and Computer Vision with hands-on tutorials, research, and real-world projects.
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Supervised & unsupervised learning, clustering, classification, regression, and model selection with scikit-learn and more.
Explore MLTransformers, attention mechanisms, sentiment analysis, topic modeling, and LLM integration with HuggingFace & PyTorch.
Explore NLPObject detection with YOLO, image classification with CNNs, real-time video analytics using OpenCV and PyTorch.
Explore CVNeural networks, TensorFlow, Keras, CNN architectures, transfer learning, and model deployment strategies.
Explore DLRAG with Vector DBs (FAISS), multimodal APIs, fine-tuning large language models, and building GenAI applications.
Explore GenAIOpen-source tools like Anaconda, Spyder, Databricks, plus datasets, libraries, and data preprocessing techniques.
Explore ToolsSee how Agentic AI are solving real-world challenges across key sectors.
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Recommendation engines, demand forecasting, and customer behavior analytics.
Predictive maintenance, quality control with CV, and digital twin technology.
Dive into our latest hands-on content covering everything from beginner guides to advanced research.
Giving a high level description, design, code and sample results for an Agentic AI solution that leverages current agentic frameworks,…
Read MoreSimple code I wrote a while back to build a conversational chatbot using any LLM API which uses historic conversation…
Read MorePrompt engineering is a dynamic, creative and powerful skill to learn in current AI LLM era. LLMs are a powerful…
Read MoreHaven’t blogged in a while, thought might be good to put some recent thoughts (X tweets) in one place. Last…
Read MoreCombine RAG and Vector db (FAISS) with LLM model to extract relevant data from latest documents for a User Query…
Read MoreDatabricks 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
Read MoreI have been experimenting with the main #cloud providers – #AWS, #Azure, #Google for #AI #ML model training using #CPUs…
Read MoreObjective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenAI…
Read MoreObjective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using…
Read MoreProduct Attribution Product attribution is the process of quantifying the contribution of different product attributes to a business outcome like…
Read MoreTesting #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry…
Read MoreSharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, #datascience research…
Read MoreI am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn…
Read More#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not…
Read MoreTrying to catch up on all the news around what happened at OpenAI. There are a lot of rumours around…
Read More#OpenAI has just released #GPT-4, their latest model. Being multimodal it can process text and image. That makes things very…
Read MoreI think there is scope for more AI/data analytics based healthtech startups that can provide better patient health lifecycle management…
Read MoreCreated a new meetup group for open, informal and collaborative networking event for anyone interested in building innovative startups in…
Read MoreAnother good one from #GMO Grantham on the current super #bubble. 2023 will be another #bear #market in my view.…
Read MoreFinally got to catchup on some startup and real data science activity after a few months. Wanted to put together…
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Predict 3 year Forward Asset Prices & Direction and Portfolio Return & Risk using Historic Macro data & Central Bank…
Read MoreThis article will discuss the basic theory and relevant code examples for different clustering algorithms. Code for different algorithms and…
Read MoreThis article will discuss the basic theory and relevant code examples for different classification algorithms. It will also show how…
Read MoreThis article will discuss the basic theory and relevant code examples for different regression algorithms. It will also show how…
Read MoreMost data science problems can be solved by following a standard process Process Flow diagram with some details is given…
Read MoreCommon NLP tasks (Sentiment, Keyword, Topic, Summary, etc) using main libraries (HuggingFace Transformers, Spacy, Pytorch, Tensorflow, Scikit, etc) Idea is…
Read MoreUsing Tensorflow and keras for building CNN model with CIFAR-10 dataset for image classification Built different CNN models using different…
Read MoreComputer Vision model for livestream frame people counter. Using OpenCV, YOLO5 from ultralytics, pytorch YOLO5 used the COCO image dataset…
Read MoreSharing a few articles related to #AI and #Robotics in #Restaurant #Food #Beverage industry. There is a demand for #automation…
Read MoreOpenAI is a well known AI lab for creating the GPT-n series of deep learning pre-trained autoregressive language models similar…
Read MoreThe role of artificial intelligence in golf club design While we know of many business applications of AI, the field…
Read MoreInteresting article on automation in farming. Big area of interest across the world as labour, supply chain is getting disrupted…
Read MoreInteresting article on data engineers vs data scientists from https://gradientflow.com/ is given below. One of the main issues for building…
Read MoreIn this article I’d like to share the original paper related to the concept of #Transformers in #NLP for #AI…
Read MoreUSDA (United States Department of Agriculture) has published a series of articles and documents on how it plans to use…
Read MoreThis article is comparing the results of using a deep learning algorithm, LSTMs, for a regression problem versus simple Neural…
Read MoreThis 10% #selloff is just the beginning. Even a 50% #correction would only get to pre #covid levels, when #global…
Read MoreI am sharing this article to show some possible uses for AI/Deep Learning in healthcare industry. Healthcare industry has traditionally…
Read MoreBuilding a #datascience #machinelearning #algorithm is relatively simple. 8 lines of #python code. It’s the other process steps that require…
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Please check out the introduction video playlist on youtube to all lectures. It will give you an idea about what…
Read MoreAnnouncing 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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Very interesting post by KDnuggets on machine learning methods being used. Lot of increase in usage for deep learning neural…
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Often the hardest part of solving a machine learning problem can be finding the right estimator (algorithm) for the job.…
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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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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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There are a large no of free books available online to learn the basics of data science. Very good to…
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Objective Observe and improve the results of applying NLP algorithms on FOMC meeting minutes to predict Fed Fund rate decision…
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