Launching our LangChain & Vector DBs in Production course — 50+ lessons & practical projects for free
We’re thrilled to announce an exciting collaboration between Towards AI, Activeloop, and the Intel Disruptor Initiative. We are launching the Foundational Model Certification course, an educational journey for the next generation of AI professionals and enthusiasts. Consistent with our commitment at Towards AI, this …
Forget LAMP Stack: LLM Stack is Here!
Author(s): Dr. Mandar Karhade, MD. PhD. Originally published on Towards AI. Huggingface has positioned itself as the new standard stack in the NLP/LLM ecosystem. Now the companies are asking for an LLM stack. Top highlight On the may of last year, Huggingface …
Quartic Roots-Using 2 ‘Big W’ Substitutes
Author(s): Greg Oliver Originally published on Towards AI. Quartics With ‘Big W’ Shape Substitutes For Simpler Roots vs Constant E Variations I have previously used Big W’s y=x⁴+Bx²+E as genetic architecture for finding Reduced Quartic roots, but this post adopts 2 generic …
How OpenAI’s New Function Calling Breaks Programming Boundaries
Author(s): Skanda Vivek Originally published on Towards AI. New OpenAI ChatGPT/GPT-4 function calling bridges the gap between deterministic and non-deterministic programming — leading to all sorts of possibilities interface between a well-defined city and abstract clouds U+007C Bing Image Creator A couple …
Bootstrap: A Beginner-Friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Bootstrap: A beginner-friendly Introduction With a Python example
Author(s): Janik and Patrick Tinz Originally published on Towards AI. Bootstrapping and the central limit theorem Photo by Glenn Carstens-Peters on Unsplash The bootstrap method is a resampling technique in which one draws many samples again from one sample. It is used …
Approximate Nearest Neighbors
Author(s): Harshit Sharma Originally published on Towards AI. And where to find them using Product Quantization You must have heard of KNN (k-Nearest Neighbors) and the fact that it is as easy as it gets when retrieving the most similar items to …
Extracting the potential of PYNLPL: A Step-by-Step Guide
Author(s): Tushar Aggarwal Originally published on Towards AI. {This article was written without the assistance or use of AI tools, providing an authentic and insightful exploration of PYNLPL} Image crafted by Author Amidst the cacophony of information inundation, rest assured that this …
20 Most Elegant NumPy Tricks I Found After 3 Years of Use
Author(s): Bex T. Originally published on Towards AI. Become a NumPy samurai Image by me with Midjourney Every data scientist admires someone. For some, it might be people who create killer data visualizations; for others, it is simply anyone who answers their …
Notes from CVPR 2023
Author(s): Nahid Alam Originally published on Towards AI. and a few days around Canada Place …. CVPR 2023 at Vancouver Convention Center. Source: author I have been fortunate enough to attend CVPR — the premier conference on Computer Vision and Pattern Recognition, …
How does Active Learning Work?
Author(s): Louis Bouchard Originally published on Towards AI. Active learning explained in 5 minutes Originally published on louisbouchard.ai, read it 2 days before on my blog! We now deal with immense amounts of data thanks to the superpowers of large models, including …
Why the AI Hype Compels Me And Why These Two Major Threats Concern Me
Author(s): Ken Jee Originally published on Towards AI. As artificial intelligence exerts a groundbreaking impact on our daily lives, we are at a crossroads: adapt to create new opportunities or risk falling behind. What kinds of challenges does this new reality potentially …
Template Matching
Author(s): Erika Lacson Originally published on Towards AI. Introduction to Image Processing with Python Episode 9: Template Matching Emojis compiled by the Author. Hello, fellow explorers! U+1F680 Here we are, at the grand finale of our image processing series. In this closing …