AI Assistants Will Replace Your Job Before AGI Does
Author(s): Delton Rhodes Originally published on Towards AI. AI Assistants Will Replace Your Job Before AGI Does When people worry about AI stealing jobs, they usually imagine some far-off future where artificial general intelligence (AGI) wakes up and becomes smarter than the …
MCP vs. API: Understanding the Differences and Use Cases
Author(s): Poojan Vig Originally published on Towards AI. Imagine you’re developing a conversational financial advisor that needs to remember your clients’ previous questions to offer truly personalized guidance. Should you use the familiar API approach we all know and love, or the …
The Future of Software Development with (Generative) AI- Part 1
Author(s): Amir Piltan Originally published on Towards AI. Introduction Over the past decade, AI techniques — particularly deep learning — have been increasingly applied to create AI-Assisted Development (AIAD) tools designed to support developers across various stages of the Software Development Life …
TAI #158: The Great Acceleration: AI Revenue, M&A, and Talent Wars Erupt as the Industry Matures
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie While LLM model releases have slowed down lately, the AI industry’s undercurrents of commercialization and consolidation were taken to the next level this week. …
TAI #162: The Agentic Era of AI: From IMO Gold to Real-World Work with ChatGPT Agent
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie LLMs crossed the 100‑minute reasoning horizon this week while AI developments also showcased the incredible potential of frontier models, the aggressive competitive race to …
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 …
Data Scientists in the Age of AI Agents and AutoML
Author(s): Edoardo De Nigris Originally published on Towards AI. Uncomfortable reality: In the era of large language models (LLMs) and AutoML, traditional skills like Python scripting, SQL, and building predictive models are no longer enough for data scientist to remain competitive in …
Flexeegile – Extending Agile For AI & Data Teams
Author(s): Dr. Ori Cohen Originally published on Towards AI. Flexeegile – Extending Agile For AI & Data Teams Flexeegile is my proposed extension to the well-established Agile framework, it aims to address the unique challenges posed by AI & Data projects in …
From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams
Author(s): Gift Ojeabulu Originally published on Towards AI. From Solo Notebooks to Collaborative Powerhouse: VS Code Extensions for Data Science and ML Teams Photo by Parabol | The Agile Meeting Toolbox on Unsplash In this article, we will explore the essential VS …
How do I Evaluate Large Language Models
Author(s): Meenakshi Srinivasan Originally published on Towards AI. Photo by Steve Johnson on Unsplash How do I Evaluate Large Language Models Meenakshi Srinivasan · Follow Published in Towards AI ·8 min read·19 hours ago 4 Listen Share Before the launch of Large …
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