Analyze Data Like A Python Pro
Author(s): Katlego Thobye Originally published on Towards AI. Create a Cheat Sheet and Stop Googling the Docs This member-only story is on us. Upgrade to access all of Medium. Photo by Mathew Schwartz on Unsplash I remember drowning in online searches for …
Investigating Transformer Attention and Reinforcement Learning Dynamics Using Self‑Generated Structural Data
Author(s): Shenggang Li Originally published on Towards AI. Cracking the Code: Synthetic Data as the Key to Understanding and Enhancing LLMs This member-only story is on us. Upgrade to access all of Medium. Photo by Joshua Sortino on Unsplash Building large language …
AI for Everyone: The Biggest AI Myths People Still Believe
Author(s): Sophia Banton Originally published on Towards AI. AI for Everyone: The Biggest AI Myths People Still Believe “AI will take away all of our jobs.” “AI will develop intelligence beyond human control and dominate the world.” “AI doesn’t have personal opinions.” …
How We Taught Machines to Think
Author(s): Vita Haas Originally published on Towards AI. And Occasionally Fail Spectacularly This member-only story is on us. Upgrade to access all of Medium. Artificial Intelligence is no longer lurking in the shadows — it’s in our pockets, powering our social feeds, …
Beginner GPT-4 Prompting For Surprisingly Easy Maps and Reports
Author(s): John Loewen, PhD Originally published on Towards AI. No-code prompts for rapid data visualization reporting This member-only story is on us. Upgrade to access all of Medium. As a computer science professor of 20+ years, I have heaps of experience in …
#62 Will AI Take Your Job?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! Yet another week, and reasoning models and Deepseek are still the most talked about in AI. We are joining the bandwagon with this week’s resources focusing on whether …
NN#6 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Article by Pushkar In the previous article, we dissected the mechanics of backpropagation, gradient descent, and the pivotal role of the …
RAG Explained: A Comprehensive Guide to Mastering Retrieval-Augmented Generation
Author(s): Ajit Kumar Singh Originally published on Towards AI. Image by Author Hi Everyone 👋 Recently, I worked on a use case involving product matching, which required implementing RAG modeling. At the time, I had limited knowledge of RAG and no hands-on …
From FP32 to INT8: The Science of Shrinking AI Models
Author(s): Harsh Maheshwari Originally published on Towards AI. Understanding quantization of neural network along with their implementation This member-only story is on us. Upgrade to access all of Medium. The training compute requirement for the famous AI models have become 45x in …
The Complexities of Trend Detection in Time Series Data
Author(s): Lily Chen Originally published on Towards AI. One common use case of working with time series data is trend detection, or trend analysis. A real life example is looking at memory data to see if a service is experiencing a memory …
Why AI Doesn’t Suggest a Viking Longship When You Ask for the Best Cruise Deals
Author(s): Vita Haas Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Imagine walking into a library the size of a small country, and instead of a single librarian, you have an entire team, …
Freelancing in AI/ML: Building Projects That Stand Out
Author(s): Aleti Adarsh Originally published on Towards AI. Have You Ever Wondered Why Some AI/ML Freelancers Succeed While Others Struggle? This member-only story is on us. Upgrade to access all of Medium. Let’s be real — getting into AI/ML freelancing sounds exciting, …
Efficient Training Engine (ETE) for Large Deep Learning Models
Author(s): Sarvesh Khetan Originally published on Towards AI. Table of Contents : There are many ways to efficiently train a large DL model 1. Parallel / Distributed Training Distributed Data Parallelism (DDP)a. DDP Algorithm Intuitionb. DDP Algorithmc. Code Implementation Model Parallelism (MP)a. …
NN#5 — Neural Networks Decoded: Concepts Over Code
Author(s): RSD Studio.ai Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Source: Analytics Vidhya In our ongoing quest to unlock the brains of AI, we’ve built a foundation of understanding, from the neuron-inspired …
Tired of LLM Chaos? LiteLLM Should Be Your Default
Author(s): Mandar Karhade, MD. PhD. Originally published on Towards AI. Stop juggling multiple LLM APIs and their “standards” This member-only story is on us. Upgrade to access all of Medium. Large Language Models (LLMs) are revolutionizing everything from content creation to customer …
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