LatestMachine LearningI Built an OpenAI-Style Swarm That Runs Entirely on My Laptop. Heres How. 0 like November 18, 2024Share this postAuthor(s): Vatsal Saglani Originally published on Towards AI. A developers journey into creating a privacy-focused, cost-effective multi-agent system using Python and open-source LLMs.This member-only story is on us. Upgrade to access all of Medium.Image by ChatGPTYou know how in sci-fi movies, AI systems seamlessly collaborate to solve complex problems? This always used to fascinate me as a kid. When I started learning about machine learning and deep learning in my pre-final year of undergrad in 201718, I was amazed by the potential of these models. It was fascinating how these models could learn to differentiate between dog breeds, predict the price of a house, classify tweet sentiments, and even play games like chess and Go.Attention, Tokenization, Transformers, and GPT were the new buzzwords, and I was fascinated by how these models could be used to add intelligence to applications. After graduating, when I started working as a data scientist, I gained first-hand experience training, fine-tuning, and deploying models for a wide range of applications. Those days we used to train/fine-tune models for individual tasks or features. We used to discuss how meta-learning, few-shot learning, and few-shot prompting could help us build more intelligent models. But we didnt exactly know how could we build a system that could learn to do multiple tasks without being explicitly told how to do so.Then in 2020, Read the full blog for free on Medium.Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming asponsor. Published via Towards AITowards AI - Medium Share this post