LLaMA Architecture: A Deep Dive into Efficiency and Mathematics
Author(s): Anay Dongre Originally published on Towards AI. LLaMA Architecture: A Deep Dive into Efficiency and Mathematics In recent years, transformer-based large language models (LLMs) have revolutionized natural language processing (NLP). Meta AI’s LLaMA (Large Language Model Meta AI) stands out as …
Cloud AI is Rigged Against Startups, and DeepSeek is the Warning Shot
Author(s): Krishna Chaitanya Chavati Originally published on Towards AI. Meet Alex, a startup entrepreneur pursuing AI-driven efficiency only to encounter rising costs, hidden fees, and unsolvable trade-offs This member-only story is on us. Upgrade to access all of Medium. Source: Author generated …
Accelerating AI: A Deep Dive into Flash Attention and Its Impacts
Author(s): Kailash Thiyagarajan Originally published on Towards AI. Accelerating AI: A Deep Dive into Flash Attention and Its Impacts Image Generated by Author Introduction Transformers, introduced in the groundbreaking paper “Attention Is All You Need,” have revolutionized artificial intelligence, particularly in natural …
TAI #138: OpenAI’s o3-Mini and Deep Research: A New Era of Reasoning Powered Agents?
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie We realize that we have been alternating between OpenAI and DeepSeek-focused discussions recently, but this is with good reason, given some very impressive models …
Month in 4 Papers (January 2025)
Author(s): Ala Falaki, PhD Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. How Language Models Learn to Think, Judge, and Scale: From Code Evaluation to Memory-Efficient Reasoning. This series of posts is designed …
Hands-On: Prompt Engineering with Ollama and Google Colab
Author(s): Sayanteka Chakraborty Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Prompt Engineering is like giving instructions to an AI model to get the best possible answers or results. The way you phrase …
How to Explain Black-Box Deep Learning Models in Computer Vision and NLP
Author(s): Chien Vu Originally published on Towards AI. Explaining a black box Deep learning model is an essential but difficult task for engineers in an AI project. Let’s explore how to use the OmniXAI package in Python to examine and understand how …
Building End-to-End Machine Learning Projects: From Data to Deployment
Author(s): Aleti Adarsh Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Have you ever stood at the edge of a mountain, looking down, unsure of how to take the first step? That’s exactly …
A 1953 Sci-Fi Story Predicted Today’s Hottest AI Topics
Author(s): Yasameen Thaer Originally published on Towards AI. A timeless tale about the moral implications of rapid technological advancement. This member-only story is on us. Upgrade to access all of Medium. “Admit that we were wrong trying to cure human problems by …
#60: DeepSeek, CAG, and the Future of AI Reasoning
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! The last two weeks in AI have been all about Deepseek-R1. So this week’s issue includes resources and discussions on that, along with emerging techniques such as CAG, …
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