How to Build a Custom Optimizer in PyTorch: 5 Simple Steps
Author(s): Benjamin Bodner Originally published on Towards AI. Leverage Pytorch’s powerful optimization framework to implement your algorithm This member-only story is on us. Upgrade to access all of Medium. Source: Image by author with Dall E 3 Optimization is key in deep …
Optimizing Airport Gate Assignments Using Multi Objective Reinforcement Learning (MORL) — Part 1
Author(s): Ranjith Menon Originally published on Towards AI. RL is the Gate-way to Airport Efficiency (pun intended) Ever found yourself sprinting across an airport to board a connecting flight? Or wandering endless corridors in search of your boarding gate? Efficient gate assignments …
7 Stages of AI Adoption Journey: Which Milestone Have You Reached Yet?
Author(s): Rupali Patil Originally published on Towards AI. 7 Stages of AI Adoption Journey: Which Milestone Have You Reached Yet? We all know the tale of the two video giants — Blockbuster and Netflix. Blockbuster has ruled the video rental industry since …
The Two-Part Opportunity in AI
Author(s): Diop Papa Makhtar Originally published on Towards AI. image from Nvidia’s blog Artificial intelligence, like its sibling machine learning, fundamentally consists of two key processes: training and inference. Training involves feeding data to a model to learn patterns, while inference is …
GitHub and Git For Beginners 🐱👤
Author(s): Fatma Elik Originally published on Towards AI. A detailed explanation for developers 👩🏻💻🧑🏻💻👨🏻💻 This member-only story is on us. Upgrade to access all of Medium. Photo by Roman Synkevych on Unsplash Git is installed and maintained in your local system. It …
How Far Should You Go to Perfect Your AI System?
Author(s): Konstantin Babenko Originally published on Towards AI. How Far Should You Go to Perfect Your AI System? Source: Image by racker on Shutterstock The process of validating a conversational AI system is as complex as an onion: When you remove a …
Reliable Agentic RAG with LLM Trustworthiness Estimates
Author(s): Chris Mauck Originally published on Towards AI. This article demonstrates an agentic system to ensure reliable answers in Retrieval-Augmented Generation, while also ensuring that latency and compute costs do not exceed the processing needed to accurately respond to complex queries. Our …
TAI #114: Two Paths to Small LMs? Synthetic Data (Phi 3.5) vs Pruning & Distillation (Llama-3.1-Minitron)
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This was a week for small language models (SLMs) with significant releases from Microsoft and NVIDIA. These new models highlight the growing trend towards …
Beyond LLMs: Compounds Systems, Agents, and Whole AI Products
Author(s): Adel Zaalouk Originally published on Towards AI. A Framework for Building Great AI Products Introduction The other day, I found myself reflecting on a classic concept that I was taught in business school, Maslow’s hierarchy of needs, a simple but powerful …
Building Intelligent Agents from Scratch: A Journey into LLM-Powered Autonomy
Author(s): Anoop Maurya Originally published on Towards AI. Photo by Rock'n Roll Monkey on Unsplash In recent years, the advent of large language models (LLMs) has revolutionized the field of artificial intelligence, making it possible for machines to understand and generate human-like …
Popular posts
Updates
Recent Posts
