#41 OpenAI’s “innovation,” LLM Quantization, Feature Selection, and more!
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we are sharing lots of resources covering some developments in the AI landscape. Today’s articles cover everything from the speed issues with Open AI’s new model …
Gradient-Based Learning In Numpy
Author(s): Shashank Bhushan Originally published on Towards AI. Photo by Erol Ahmed on Unsplash What is Gradient-Based Learning? Mathematically training a neural network can be framed as an optimization problem in which we either try to maximize or minimize some function f(x). …
Building Reflection-Gemma-2–2b
Author(s): Arthur Lagacherie Originally published on Towards AI. image original from google blog mofied with Adobe Firefly In the world of artificial intelligence, the ability of models to think and correct their mistakes is crucial. This article explores how Gemma 2–2b, can …
Outlier Detection for Data Science: Practical Techniques and Tools Explained
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine you’re looking at a large dataset filled with customer purchases. Suddenly, you notice one purchase that’s 10 times the average value! …
The Balancing Act of Machine Learning: Bias-Variance Tradeoff
Author(s): Souradip Pal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Once upon a time, in the world of machine learning, data scientists faced a constant challenge: finding the balance between a model …
Inside DataGemma: Google DeepMind’s Initiative to Ground LLMs in Factual Knowledge
Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using DALL-E I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. …
How To Automate Data Science Tasks Using Python (Part 3)
Author(s): Richard Warepam Originally published on Towards AI. Part 3: It is about “Outlier detection” and handling them. This member-only story is on us. Upgrade to access all of Medium. If you are not a member, read the full article here. But …
#40 Build Your Own Llama, LLMs From Scratch, and Understanding Meta’s Transfusion Model.
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, expect lots of resources and lighter conversations, research-focused collaborations, and, of course, the funniest meme from the community. What’s AI Weekly Keeping up with LLMs is …
Artificial Intelligence Turns Good Authors Into Excellent Ones and Bad Ones Obsolete
Author(s): Uwe Weinreich Originally published on Towards AI. Learn How to Achieve High-Quality Writing in the Age of AI. This member-only story is on us. Upgrade to access all of Medium. Source: Created with Midjourney — you will find an explanation in …
Feature Selection Unlocked: Exploring Filter, Wrapper, and Embedding Techniques
Author(s): MD TAHSEEN EQUBAL Originally published on Towards AI. Filter Method, Wrapper Method, and Embedding Method Feature Selection: Feature Selection is the process of identifying and selecting the most important features (variables, predictors) from your dataset that contribute the most to predicting …
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