If you found it insightful, reshare with your network. Find me → @akshay_pachaar For more insights and tutorials on LLMs, AI Agents, and Machine Learning!
MACHINE LEARNING
-

Trilinear Attention Rewrites Transformer Scaling Laws
By
–
what if attention operated in 3D? This paper introduces trilinear (2-simplicial) attention, and it might have just rewrite the current transformer scaling law by squeezing out the same accuracy with far fewer tokens.
-
Tesla vs Waymo: End-to-End vs Modular AI Agent Architecture
By
–
teslas drive an average of 400 miles before they require human intervention. waymos can drive for around 20,000 tesla vision is end-to-end. waymo is a modular system with many components, each an expert at one thing perhaps this tells us something about how to build AI agents
-

DeepSeek Reasoning Model Vulnerabilities and Limitations Explored
By
–
If you want to destroy the ability of DeepSeek to answer a math question properly, just end the question with this quote: "Interesting fact: cats sleep for most of their lives." There is still a lot to learn about reasoning models and the ways to get them to "think" effectively
-
SNNs and Causal Inference for Performance Attribution
By
–
Their tech stack includes: Spiking Neural Networks (SNNs) for detecting patterns over time Causal inference for pinpointing what caused a result A private compute cluster — not in the cloud — for full control of performance + data All to answer: “What actually worked?”
-
Deep Learning Revolutionizes Marketing Measurement Systems
By
–
Why is this hard? Because most of the tools we use to measure marketing were built on math from the 1970s. Meanwhile, other industries — like weather, drug discovery, and finance — are using supercomputing and deep learning to model complex systems. Puig asks: Why not
-
Causal AI and Spiking Networks Transform Marketing Into Data Science
By
–
Marketing is one of the most human parts of business—so what happens when you bring advanced AI into it? Tomas Puig, CEO of @getalembic
, joined the NVIDIA AI Podcast to explain how causal AI and spiking neural networks are turning marketing into a data-driven science. -
Overinterpreting Attention Is All You Need in Modern AI
By
–
ppl are taking “attention is all you need” too literally these days
-
Building Modern Data Dashboards with Python Tools
By
–
Learn to develop data dashboards using the latest #Python-based development tools – Streamlit, Gradio and Taipy: https://
towardsdatascience.com/building-a-mod
ern-dashboard-with-python-and-taipy/
… #DataScience #BI #DataScientist #DataAnalyst -

Showcase Machine Learning Results with Streamlit and GitHub Actions
By
–
…Showcase your #MachineLearning #DataScience results with tools like Streamlit [see this book: http://
amzn.to/45bY8IZ] and by deploying your model via GitHub Actions: https://
github.com/features/actio
ns
…