Harnessing the power of LLMs and LangChain for structured data extraction from unstructured data
Author(s): Leapfrog Technology Originally published on Towards AI. In today’s ever-evolving tech landscape, the rise of Large Language Models (LLMs) has brought about a transformative shift in how we engage with digital applications and content. These advanced language models, exemplified by renowned …
17 Mistakes to Avoid When Using AI for SEO
Author(s): Shauvik Kumar Originally published on Towards AI. “A life spent making mistakes is more useful than a life spent doing nothing.” — George Bernard Shaw Mistakes are part of growth, especially with new technology. I’ve made nearly all of them myself. …
How I Built a GPT App in Under 4 Hours and Saved $7,500 in MVP Costs
Author(s): Supreeth Kashyap Originally published on Towards AI. From $7,500 and 3 Months to Just 4 Hours: My AI-Powered App Journey When I built my first app a few years ago, it cost me around $7,500 and three months of development time …
TAI #171: How is AI Actually Being Used? Frontier Ambitions Meet Real-World Adoption Data
Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, AI models continued to push the frontiers of capability, with both OpenAI and DeepMind achieving gold-medal-level results at the 2025 ICPC World …
In-Context Learning Explained: Why LLMs Need 100 Examples, Not 5
Author(s): MKWriteshere Originally published on Towards AI. New research reveals the truth about few-shot learning and what it means for your AI applications What happens when you feed ChatGPT examples in your prompts isn’t what you think Image Generated by Author Using …
700 Million People Use ChatGPT, But Not How You Think
Author(s): Sanskar Gupta Originally published on Towards AI. (generated via sora) By July 2025, ChatGPT hit 700 million weekly users, sending over 2.5 billion messages every day. That’s one in ten adults on the planet talking to AI every week. I was …
Everyone’s Building with LLMs Wrong. Here Are the 10 Myths Killing Your Projects.
Author(s): Mayank Bohra Originally published on Towards AI. Stop treating LLMs like magic solutions. After 8 months building production AI systems with Claude, GPT, and custom models, here’s what actually breaks when hype meets reality. After spending months building production AI applications …
Attention = Soft k-NN
Author(s): Joseph Robinson, Ph.D. Originally published on Towards AI. Transformers = soft k-NN. One query asks, “Who’s like me?” Softmax votes, and the neighbors whisper back a weighted average. That’s an attention head; a soft, differentiable k-NN: measure similarity → turn scores …
Mastering LoRA: A Gentle Path to Custom Large-Language Models
Author(s): Harshit Kandoi Originally published on Towards AI. Mastering LoRA: A Gentle Path to Custom Large-Language Models Imagine owning a magnificent state-of-the-art, without any comparison. Think of an unbridled artist capable of preparing any world’s best cuisine. It bakes, roasts, sautés, and …
Python 3.14 Unlocks True Multicore Power, Go Lang level concurrency
Author(s): Mahimai Raja J Originally published on Towards AI. Python 3.14 Unlocks True Multicore Power, Go Lang level concurrency Python keeps evolving on every updates, but this time it is literally a wow moment! I am a very old user of Python, …
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