Mutual Information: How ideas from information theory influence machine learning
Author(s): Mahmoud Abdelaziz, PhD Originally published on Towards AI. What Is Mutual Information? Mutual information is a concept from information theory that tells us how much one variable X tells us about another Y. In simpler terms, it’s a way to measure …
Enhancing LLM Capabilities: The Power of Multimodal LLMs and RAG
Author(s): Sunil Rao Originally published on Towards AI. Generated by Gemini Building upon foundational concepts from my previous articles on LLMs, Retrieval-Augmented Generation (RAG), and advanced RAG techniques, this article ventures into the next frontier: Multimodal LLMs. We’ll begin by demystifying their …
The End of the Click? NLWeb and the Quiet War on Search
Author(s): Pawel Rzeszucinski, PhD Originally published on Towards AI. Are we seeing a search paradigm shift? Time will tell. (Source: Author) NLWeb is born Last week at Microsoft’s Build conference, many exciting announcements were made, from open-sourcing GitHub Copilot to major upgrades …
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 …
TAI #154: Gemini Deep Think, Veo 3’s Audio Breakthrough, & Claude 4’s Blackmail Drama
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Google’s flagship I/O 2025 conference and Anthropic’s Claude 4 release delivered further advancements in AI reasoning, multimodal and coding capabilities, and somewhat …
Unlocking AI’s Next Wave: How Self-Improving Systems, Neuromorphic Chips, and Scientific AI are Redefining 2025
Author(s): Adit Sheth Originally published on Towards AI. Generated by Microsoft Copilot The year is 2025, and the world is not merely witnessing a technological shift; it’s experiencing a seismic redefinition of intelligence itself. Forget the fleeting hype cycles of yesteryear. The …
Building a Data Engineering Study Group in the AI Era: 60-Day Guide.
Author(s): Gift Ojeabulu Originally published on Towards AI. Photo by Small Group Network on Unsplash Outline Introduction. Who is this article for? Why Peer-Led Learning Communities Work? The Foundation Phase. The Structure Phase. The 4-Phase Framework. The Technical Learning Framework. Proven Results …
LAI #77: Structured Outputs, LangGraph NLP, Sub-ms Agents, and Personalization at Scale
Author(s): Towards AI Editorial Team Originally published on Towards AI. Good morning, AI enthusiasts, This week’s issue is a mix of applied AI and infrastructure that actually scales. We start with a deep dive into structured output from both local and cloud-based …
How to Convince Your Boss the Smartest AI Investment Is You
Author(s): Towards AI Editorial Team Originally published on Towards AI. Make your case to upskill — and help your company stay ahead. Everyone’s being told to “do something with AI.” Most teams are still waiting for consultants, approvals, or someone who knows …
ARGUS: Vision-Centric Reasoning with Grounded Chain-of-Thought
Author(s): Yash Thube Originally published on Towards AI. Existing Multimodal LLMs, primarily driven by advancements in large language models (LLMs), often underperform when accurate visual perception and understanding of specific regions-of-interest (RoIs) are crucial for successful reasoning. Argus tackles this by proposing …
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