Understanding LLM Agents: Concepts, Patterns & Frameworks
Author(s): Allohvk Originally published on Towards AI. “ A little piece of advice. You see an agent, you do what we do. Run! ” — Cypher to Neo in the movie, “The Matrix” This is my exact feeling also when I see …
Hybrid Attention for Binary Sequence Forecasting
Author(s): Shenggang Li Originally published on Towards AI. Combining n-Gram Embeddings, Count-Aware Self-Attention, and Recency-Weighted ARMA for Multi-Horizon Distributional PredictionsPhoto by Pasqualino Capobianco on Unsplash I tackle pure binary time series forecasting by converting complex signals into 0/1 patterns — stock up/down, …
Claude, Excel, and a 1991 Masterpiece
Author(s): Han Qi Originally published on Towards AI. Photo from Pintrich, P. R., Smith, D. A. F., Garcia, T., & McKeachie, W. J. (1991). A manual for the use of the Motivated Strategies for Learning Questionnaire The gist Transform a scanned PDF …
AI Engineer’s Handbook to MCP Architecture
Author(s): Vatsal Saglani Originally published on Towards AI. Part 2: Building the Servers FirstBlog Header Generated by the Author In the previous blog, we laid out our nano-MCP architecture and built a mental model of the entire system containing the LLM Host, …
Prompt Engineering Mastery: Optimizing LLM Performance Through Iterative Prompt Management
Author(s): Rajarshi Tarafdar Originally published on Towards AI. The introduction of large language models (LLMs) has truly transformed AI usage from customer service automation to content creation. The performance of these models is heavily reliant on the interaction with the system, and …
From Code to Conversation: The Rise of Seamless MLOps-DevOps Fusion in Large Language Models
Author(s): Rajarshi Tarafdar Originally published on Towards AI. Artificial intelligence has undergone rapid evolution through large language models which enable technology systems to interact with users like human beings. The sophisticated interfaces of automation systems operate through an operational infrastructure which requires …
Ethics Meets Efficiency: Navigating Compliance and Trust in Next Gen LLM Operations
Author(s): Rajarshi Tarafdar Originally published on Towards AI. Industrial transformations achieved by Large Language Models (LLMs) have introduced breakthrough levels of automation throughout text production and natural language processing and decision-making systems. These computational models produce human-like text which defines artificial intelligence …
Exploring Deep Learning Models: Comparing ANN vs CNN for Image Recognition
Author(s): SETIA BUDI SUMANDRA Originally published on Towards AI. Have you ever wondered how well Artificial Neural Networks (ANN) perform compared to Convolutional Neural Networks (CNN) in classifying images? In this article, I’ll walk you through a hands-on project where we train …
Top 5 AI Chatbot projects to showcase on your Portfolio: with Code
Author(s): Krishan Walia Originally published on Towards AI. The difference between getting an interview and getting hired often comes down to one standout project — AI chatbot projects to make recruiters stop scrolling. Not a member?Feel free to access the full article …
Practical Tips and Tricks for Developers Building RAG Applications
Author(s): James Luan Originally published on Towards AI. Vector Search is Not Effortless! Vector search, also known as vector similarity search or nearest neighbor search, is a technique used in data retrieval for RAG applications and information retrieval systems to find items …
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