Original research, concise AI briefs, startup ideas, industry use cases, tutorials, and informed perspectives.
Concise, date-driven observations on current AI developments.
8 resourcesPractical applications of Agentic AI in a specific industry.
7 resourcesInformed commentary and personal analysis.
9 resourcesExperiments, architectures, implementation notes, and open-source work.
16 resourcesEvidence-based studies, source-audited analysis, and original research.
3 resourcesOpportunities, concepts, and business-model analysis for AI innovation.
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5 resourcesVideo explainers, demonstrations, and lessons.
Combine RAG and Vector db (FAISS) with LLM model to extract relevant data from latest documents for a User Query – Process insurance claim https://github.com/datawisdomx1/RAGVectorDB_LLM_model
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
I have been experimenting with the main #cloud providers – #AWS, #Azure, #Google for #AI #ML model training using #CPUs and #GPUs. Must say Microsoft Azure and Google…
Objective: Show a basic model to generate product description, SEO CTA and Twitter keywords from product images using a GenAI multimodal API, OpenAI gpt-4o Model Overview: Improvements /…
Objective: Show a basic architecture and implementation of a CV (computer vision) CNN model to extract product attributes by using object detection, by training custom product image data…
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…
Testing #GPT4o, good but mac app has inference latency issues. #multimodal is the future. #LLMs are commoditized. Fine tuned #industry specific models with #device level tuning inference +…
Sharing personal github repo for code, theory, math’s and projects for training on all aspects of #AI, #ML, Agentic AI, #datascience research for solving real world problems using…
I am building #multimodal #opensource model for #healthcare or any industry is challenging but fun #technically. So much to learn apply. Data is issue but #synthetic distribution generation…
#books i am reading in #Healthcare #AI #US. A giant complex mess.
#Healthcare in its current form does not benefit patients or providers. Processes, #technology, cost, #insurance etc are old and not integrated. #AI is one way to improve the…
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…
