Retrieval-Augmented Generation (RAG) vs. Cache-Augmented Generation (CAG): A Deep Dive into Faster, Smarter Knowledge Integration
Author(s): Isuru Lakshan Ekanayaka Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. image source As Large Language Models (LLMs) continue to grow in capability, integrating external knowledge into their responses becomes increasingly important …
Bayesian State-Space Neural Networks (BSSNN): A Novel Framework for Interpretable and Probabilistic Neural Models
Author(s): Shenggang Li Originally published on Towards AI. Integrating Bayesian Theory, State-Space Dynamics, and Neural Network Structures for Enhanced Probabilistic Forecasting This member-only story is on us. Upgrade to access all of Medium. Photo by Planet Volumes on Unsplash When building supervised …
How to Build Your Own Agentic Investment Team with Phidata
Author(s): Yaksh Birla Originally published on Towards AI. Create a multi-agent framework that puts super-powered financial analysis in your pocket. This member-only story is on us. Upgrade to access all of Medium. All of my articles are 100% free to read. Non-members …
Understanding Pickle to Make Decorators Work With Multiprocessing
Author(s): Han Qi Originally published on Towards AI. Photo by Hert Niks on Unsplash import osfrom multiprocessing import Poolimport timefrom functools import wrapsimport heartrateport_base = 10000def initialize_worker(): # This function runs only in the worker processes process_id = os.getpid() port = port_base …
Mastering Data Scaling: The Only Guide You’ll Ever Need (Straight from My Journey)
Author(s): Suraj Jha Originally published on Towards AI. How I Finally Conquered Data Scaling: Learn from My Real-World Experience This member-only story is on us. Upgrade to access all of Medium. Image By Author Scaling is one of the fundamental steps in …
Advancing Time Series Forecasting: A Comparative Study of Mamba, GRU, KAN, GNN, and ARMA Models
Author(s): Shenggang Li Originally published on Towards AI. Evaluating Modern and Traditional Methods for Multivariate Time Series Prediction This member-only story is on us. Upgrade to access all of Medium. Photo by Chiara Maretti on Unsplash Imagine trying to predict how a …
You Can Out-Compete OpenAI.
Author(s): Savvas Theocharous Originally published on Towards AI. Don’t let the big dogs scare you. You have the advantage. This member-only story is on us. Upgrade to access all of Medium. This message is for those who genuinely love AI. This is …
Why Small Language Models Make Business Sense
Author(s): Paul Ferguson, Ph.D. Originally published on Towards AI. Image generated by Gemini AI Small Language Models are changing the way businesses implement AI by providing solutions that operate efficiently using standard hardware. Despite the attention given to massive AI models, these …
Best Laptop For Data Science
Author(s): Egor Howell Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. What’s the best laptop and does it even matter? Photo by Alex Knight on Unsplash I always get asked what’s the best …
Making Red Light Green Light Game Possible With Computer Vision?
Author(s): Parth Mahakal Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Image by Author Red Light, Green Light in North America, and Grandma’s/ Grandmother’s Footsteps or Fairy Footsteps in the United Kingdom is …
The Agentic AI Era: A Primer
Author(s): Kaush B Originally published on Towards AI. GenAI, Agentic AI, Advanced AI Photo by Marija Zaric on Unsplash Content Introduction to Holistic Intelligence (HI) What are AI Agents? Types of AI Agents AI Agent Architecture: Topologies Enterprise AI Agents: Characteristics and …
Unlocking the Advantages of Semantic Chunking to Supercharge Your RAG Models
Author(s): Aditya Baser Originally published on Towards AI. 1. Introduction 1.1. What is chunking, and why do we need it? The intuition behind chunking and how it helps in the retrieval of information Imagine you are searching for a specific piece of …
#58 Can We Use One Big Model To Train Smaller Models?
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week, we explore LLM optimization techniques that can make building LLMs from scratch more accessible with limited resources. We also discuss building agents, image analysis, large concept …
Module 1 Part -01 Building Block of Data Analytics
Author(s): Sudeep Originally published on Towards AI. created by me using canva If you are wondering what is this Module 1 and related stuff, please refer this : What is Data Analytics So it all starts with Statistics At a high level, …
Policy Learning — Deep Reinforcement Learning
Author(s): Sarvesh Khetan Originally published on Towards AI. A. Problem Statement We have already seen the problem statement here and saw how to solve it using Q learning approach but since Q learning has its own drawbacks, researchers innovated this approach called …
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