How Claude Discovered Users Weaponizing It for Global Influence Operations
Author(s): MKWriteshere Originally published on Towards AI. The terrifying discovery of a global shadow network orchestrating social media deceptionImage Generated by Author Using Gpt-4o (Non-Member Link) Imagine a world where your online interactions, the comments you receive, the posts you engage with, …
Important LLM Papers for the Week From 07/04 to 14/04
Author(s): Youssef Hosni Originally published on Towards AI. Stay Updated with Recent Large Language Models Research Large language models (LLMs) have advanced rapidly in recent years. As new generations of models are developed, researchers and engineers need to stay informed on the …
Can Machine Learning Predict Air Quality Before It Gets Dangerous?
Author(s): S Aishwarya Originally published on Towards AI. Can Machine Learning Predict Air Quality Before It Gets Dangerous? In recent years, air pollution has moved from being an abstract environmental issue to a daily reality for millions around the globe. From smog-filled …
Designing Customized and Dynamic Prompts for Large Language Models
Author(s): Shenggang Li Originally published on Towards AI. A Practical Comparison of Context-Building, Templating, and Orchestration Techniques Across Modern LLM FrameworksPhoto by Free Nomad on Unsplash Imagine youβre at a coffee shop, and ask for a coffee. Simple, right? But if you …
Fine-Tuning an LLM to Predict the Rental Value of a Dwelling
Author(s): Tomer Gabay Originally published on Towards AI. How Large Language Models can be used for regression tasks.[image by Author] In the Netherlands, we have rules that determine the maximum rent allowed for a dwelling based on its properties and quality. These …
What MongoDBβs Vector Play with Voyage AI Teaches Us About the Next Phase of AI Intelligence
Author(s): R. Thompson (PhD) Originally published on Towards AI. βWhen vector precision meets operational simplicity, AI stops guessing β and starts understanding.β In the expansive and intricate universe of artificial intelligence, vector databases are steadily ascending in importance. They represent not just …
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) β 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 β 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 β 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? Youβre 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 β …
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 β …
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