Building Agentic Workflows with LangGraph: A Deep Dive into ReAct and Memory Management (Part 1)
Author(s): Sai Bhargav Rallapalli Originally published on Towards AI. Building Agentic Workflows with LangGraph: A Deep Dive into ReAct and Memory Management (Part 1) In the world of AI and LLMs, agentic workflows are revolutionizing how we interact with AI systems. These …
AI Codebase Expert Agent: Support Projects Development Tasks With an LLM Multi Agent Powered Approach
Author(s): Michalzarnecki Originally published on Towards AI. In the ever-evolving landscape of software development, managing large code bases and efficiently resolving issues remains a significant challenge. In this article I describe AI Codebase Expert application, a tool that leverages the power of …
Why a $1.2M AI Project Failed (And How to Avoid the Same Mistake)
Author(s): Kapil Viren Ahuja Originally published on Towards AI. I spent 2 hours recently reviewing quarterly AI project reports. Demo after demo looked impressive. Business cases appeared compelling. Success metrics seemed strong. Then someone asked about operational costs. As one engineering leader …
Why a $1.2M AI Project Failed (And How to Avoid the Same Mistake)
Author(s): Originally published on Towards AI. I spent 2 hours recently reviewing quarterly AI project reports. Demo after demo looked impressive. Business cases appeared compelling. Success metrics seemed strong. Then someone asked about operational costs. As one engineering leader recently shared on …
From Spark to Strategy: How I Approach Brainstorming and Planning AI Projects
Author(s): Elangoraj Thiruppandiaraj Originally published on Towards AI. Introduction: The Problem With AI Ideas As a Data Scientist, I often find that every second person I talk to has a potential AI use case in mind. I get questions like: Can AI …
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 …
11 Docker Container Images for Generative AI & ML Projects
Author(s): Youssef Hosni Originally published on Towards AI. Docker containers offer significant advantages for machine learning by ensuring consistent, portable, and reproducible environments across different systems. By encapsulating all dependencies, libraries, and configurations in a container, Docker eliminates compatibility issues and the …
Memory Management Strategies and Tools for AI Chatbots and Agents
Author(s): Mehdi Zare Originally published on Towards AI. Building an AI chatbot that can hold a meaningful conversation over time isn’t just about choosing a powerful language model — it’s also about giving it a memory. As a data scientist transitioning into …
The Stargate Project: New Age for Data Scientists?
Author(s): Artem Shelamanov Originally published on Towards AI. The recently announced Stargate Project, with its massive investment and ambitious goals, is likely to have huge impact on the data science field. In this article, we cover main implications and possible consequences. Photo …
How to Build Your First Data Engineering Project Step by Step?
Author(s): Nishtha Nagar Originally published on Towards AI. How to Build Your First Data Engineering Project Step by Step? “Data engineering is the bridge that connects broad business goals with detailed technical implementation.” — Michael Hausenblas. Did you know that by 2026, …
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