Scaling Intelligence: Overcoming Infrastructure Challenges in Large Language Model Operations
Author(s): Rajarshi Tarafdar Originally published on Towards AI. The scenario is pretty brightening for artificial intelligence (AI) and large language models (LLMs) — enabling features from chatbots to advanced decision-making systems. However, making these models compatible with enterprise use cases is a …
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 …
Struggling with Logistics? Here Are 10 AI Agent Fixes That Actually Work
Author(s): Subhadip Saha Originally published on Towards AI. Find out how AI agents can fix your logistics headaches and make things run smoothly — no tech skills needed! Ever feel like your logistics operations are stuck in a never-ending loop of delays, …
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 …
Why Most Task Automation Fails — and How AI Agents Can Fix It
Author(s): Subhadip Saha Originally published on Towards AI. Learn why traditional automation fails and how AI agents provide the flexibility and intelligence your business needs. Ever tried automating a task, only to find yourself tangled in more confusion than efficiency? You’re not …
Principles for Building Model-Agnostic AI Systems
Author(s): Justin Trugman Originally published on Towards AI. While individual AI models dominate headlines, the spotlight often misses where true progress happens: the systems that put those models to work. Each new release promises more nuanced understanding, deeper reasoning, richer comprehension — …
The Future of Work: How Microsoft 365 Office Solutions Are Evolving with AI Integration
Author(s): Sefali Warner Originally published on Towards AI. The Future of Work: How Microsoft 365 Office Solutions Are Evolving with AI Integration Image by author The future of work is upon us, and one of the key driving forces behind this transformation …
Best Resources to Build & Understand Vision Language Models
Author(s): Youssef Hosni Originally published on Towards AI. Vision-Language Models (VLMs) lie at the intersection of computer vision and natural language processing, enabling systems to understand and generate language grounded in visual context. These models power a wide range of applications — …
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 …
Llama 4: Is Meta Sounding the Alarm?
Author(s): Nehdiii Originally published on Towards AI. Image Generated by ChatGPT Llama 2 and Llama 3 marked major milestones in AI during their release years, but Llama 4 feels like a misstep. Despite bold shifts in scale, design, and tone, Meta hasn’t …
How E-commerce Giants Use Data to Influence What You Buy
Author(s): Harshit Kandoi Originally published on Towards AI. Photo by Mark König on Unsplash Picture this: You’re casually scrolling through an online store, eyeing a techy new mobile. You haven’t bought it yet. A few hours later, it’s suddenly everywhere. Instagram ads, …
OpenAI’s o3: Over-Optimization Returns Stranger Than Ever
Author(s): Nehdiii Originally published on Towards AI. Over-optimization is a well-known issue in reinforcement learning (RL), including RL from human feedback (RLHF), which powers models like ChatGPT, and now in emerging reasoning models. Each context presents its own flavor of the problem …
LAI #72: From Python Groundwork to Function Calling, ICL Theory, and Load Balancing MoEs
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts! This week’s issue bridges two ends of the spectrum: the foundations you need to get started, and the nuanced tools and ideas shaping how we build with AI …
Quantum AI Is Coming. Here’s What No One Is Telling You (But Should)
Author(s): Subhadip Saha Originally published on Towards AI. AI just got an upgrade. Learn how quantum computing is rewriting the rules — and why you’re not hearing about it enough. I know — that sounds like science fiction. But think about it. …
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