Sarvam: Indian AI Breaks Global Monopoly
Author(s): Suraj Pandey Originally published on Towards AI. A Bengaluru startup is rewriting the rules of AI by making technology speak India’s language — literally. For decades, India’s 1.4 billion people have watched artificial intelligence evolve — but rarely in their own …
7 Books That Will Turn You Into an AI Engineer (Even If You Can’t Code Yet)
Author(s): AbhinayaPinreddy Originally published on Towards AI. Stop Wasting Time on Tutorials. Here’s Your Complete Reading Roadmap to Six-Figure AI Jobs. You’ve spent the last three months watching YouTube tutorials about AI. You’ve bookmarked 47 courses. You have 23 tabs open about …
The Generative AI Oligopoly: How Big Tech is Building “Old Moats” for the New Era (2024–2026)
Author(s): Wahidur Rahman Originally published on Towards AI. Is Generative AI Becoming a Big Tech Oligopoly? An In-Depth 2024–2026 Analysis The promise of artificial intelligence was supposed to democratize innovation. Instead, we’re witnessing the construction of the most capital-intensive moat in tech …
Building a Production-Grade Autonomous LLM Agent with Tool Use, Memory, and Multimodal Capabilities
Author(s): Adi Insights and Innovations Originally published on Towards AI. A complete technical walkthrough of designing, implementing, and benchmarking a modern AI agent architecture. This article walks through building a production-grade autonomous agent with: Modern AI systems are moving toward Agentic Architectures, …
I Pitted 3 AI Agents Against Each Other. The Result Was Scary.
Author(s): Adi Insights and Innovations Originally published on Towards AI. A single LLM is a confident liar. But if you make them argue, do they get closer to the truth? Welcome to the “Debate Chamber.” I have a problem with GPT-4. It’s …
Prompt to Protocol: Architecting Agent-Oriented Infrastructure for Production LLMs
Author(s): Shreya Singhal Originally published on Towards AI. The “Chatbot Era” is dead. Here is how to navigate the microservices moment for AI and choose between LangGraph and AutoGen. If you’ve spent the last few years building AI applications, you’ve probably hit …
I “Vibe Coded” Using Cursor (No Code Required)
Author(s): Adi Insights and Innovations Originally published on Towards AI. I “Vibe Coded” Using Cursor (No Code Required) Andrej Karpathy’s new philosophy changes everything. Here is how I built a RAG app by just talking to my computer. Here is how I …
The Role of Signal-to-Noise in Loss Convergence
Author(s): Austin DeWolfe Originally published on Towards AI. Source: Image by author Consider the normal NLP training curve during pre-training. That nice beautiful line of healthy training. Why does it behave like that? Why does the image above not behave like that? …
What Are LLM Parameters? A Simple Explanation of Weights, Biases, and Scale
Author(s): Mandar Panse Originally published on Towards AI. No complicated words. Just real talk about how this stuff works. Large Language Models (LLMs) like GPT, LLaMA, and Mistral contain billions of parameters, primarily weights and biases, that define how the model understands …
7 Powerful Prompt Engineering Techniques That Transform LLM Performance
Author(s): TANVEER MUSTAFA Originally published on Towards AI. 7 Powerful Prompt Engineering Techniques That Transform LLM Performance Prompt engineering is the critical skill of crafting instructions that guide Large Language Models (LLMs) to produce reliable, structured outputs. This article explores how the …
Recent Posts
