The Danger of High (or Small) Numbers In Your Computer And ML Models
Author(s): Nelson Cruz Originally published on Towards AI. During day-to-day programming or general computer use, it’s common to overlook how the computer handles numbers in its definition. But this easily becomes a problem when we try to optimize a solution and even …
The Real Reason Enterprise Agents Are So Hard (And It’s Not the AI)
Author(s): ravindu somawansa Originally published on Towards AI. Enterprise demos make agents look effortless. But the real pain starts after the pitch — when AI agents, workflows, legacy systems, and evaluation come into play. Failing Agents in Enterprise Why this matters now …
I Ran an AI Model on my CPU, and It’s the Future. Here’s Why.
Author(s): Himanshu Soni Originally published on Towards AI. Subtitle For years, the world of artificial intelligence has been dominated by one expensive truth: if you want to run powerful AI models, you need a GPU a big, power-hungry, and incredibly costly GPU. …
“Smart Hiring with GenAI: Evaluating Leadership and Cultural Fit”
Author(s): Alok Lamech Originally published on Towards AI. Smart Hiring with GenAI: Evaluating Leadership and Cultural Fit “Imagine a panel interviewing a candidate for a senior product role. The candidate shares a story about resolving team conflict. Using the GenAI tool, the …
Converting Unstructured data into Neo4j Graphs for GraphRAG
Author(s): Krishna Kumar S Originally published on Towards AI. TL;DR The LLM (Gemini) is used with structured output via ChatGoogleGenerativeAI.with_structured_output(...) to directly return validated Pydantic objects from text files containing plans data. The pipeline then writes the cleaned records into Neo4j. Source: …
Building Smarter Systems with AI Tools I Wish I Had Years Ago
Author(s): Code with Margaret Originally published on Towards AI. How I learned to go beyond toy models and automate real-world solutions with modern AI When I started with AI, I thought the magic was in the models. Train a neural net, tweak …
The $200 AI Browser That Freaked Out Google Is Now Free — Here’s Why It Matters
Author(s): Muhammad Saeed Originally published on Towards AI. Perplexity’s Comet isn’t just another browser. It’s a bold, aggressive play to redefine our relationship with the internet, and it represents the first real existential threat to Google’s search empire. Introduction: The Shot Heard …
Unpacking the Implications of the US Government’s LLaMA Approval: Your Future in an AI-Driven America
Author(s): Akhilesh Yadav Originally published on Towards AI. Why the US Government’s LLaMA Decision Changes EVERYTHING Source: Image created and edited by the post author Hey everyone, Remember when AI felt like something out of a sci-fi movie? That distant, futuristic concept …
Scaling Python Applications with Asyncio and Concurrency
Author(s): Code with Margaret Originally published on Towards AI. How I learned to stop blocking the event loop and start building faster apps Concurrency in Python was one of those things I avoided for years. Threads felt messy, processes were overkill, and …
Unifying Indian Mobile & Internet Plans with AI and Graph Databases — (Production-ready, Gemini structured outputs)
Author(s): Krishna Kumar S Originally published on Towards AI. TL;DR The LLM (Gemini) is used with structured output via ChatGoogleGenerativeAI.with_structured_output(...) to directly return validated Pydantic objects from text files containing plans data. The pipeline then writes the cleaned records into Neo4j. Source: …
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