Browsing: Business & Startups

Image by Editor   # Introduction  Agentic AI is becoming super popular and relevant across industries. But it also represents a fundamental shift in how we build intelligent systems: agentic AI systems that break down complex goals, decide which tools to use, execute multi-step plans, and adapt when things go wrong. When building such agentic AI systems, engineers are designing decision-making architectures, implementing safety constraints that prevent failures without killing flexibility, and building feedback mechanisms that help agents recover from mistakes. The technical depth required is significantly different from traditional AI development. Agentic AI is still new, so hands-on experience is…

Claude Haiku 4.5 is Anthropic’s latest small model, released on 15th October to all users. It’s a strong reminder that speed and intelligence don’t have to come at a high price. Just five months ago, Claude Sonnet 4 was considered the benchmark for balanced performance. Now, Haiku 4.5 delivers nearly the same coding and reasoning skills at one-third the cost and more than twice the speed. This release isn’t just another upgrade. It shows how much ground smaller models can cover when designed well. In this article, we’ll look at what’s new in Haiku 4.5, how it performs, and why…

The use of ChatGPT and other AI language models has skyrocketed. Everyone from marketers to website owners, students, and researchers are using them. However, there’s a big question regarding the content generated by these tools.  Is it AI-plagiarism free? While you might be hoping yes, the actual answer is a resounding “No!” AI-generated content commits two forms of plagiarism: (1) typical plagiarism and (2) AI plagiarism.  This article will run through each one, enlightening you about the importance of checking ChatGPT-generated content for any forms of copying. It will also show you the best tools to check for plagiarism in…

Image by Author   # Introduction  Everyone knows what comes up in data science interviews: SQL, Python, machine learning models, statistics, sometimes a system design or case study. If this comes up in the interviews, it’s what they test, right? Not quite. I mean, they sure test everything I listed, but they don’t test only that: there’s a hidden layer behind all those technical tasks that the companies are actually evaluating.  Image by Author | Imgflip   It’s almost a distraction: while you think you’re showcasing your coding skills, employers are looking at something else. That something else is a hidden…

A few weeks ago, my friend Vasu asked me a simple but tricky question: “Is there a way I can run private LLMs locally on my laptop?” I immediately went hunting blog posts, YouTube tutorials, anything and came up empty-handed. Nothing I could find really explained it for non-engineers, for someone who just wanted to use these models safely and privately.  That got me thinking. If a smart friend like Vasu struggles to find a clear resource, how many others out there are stuck too? People who aren’t developers, who don’t want to wrestle with Docker, Python, or GPU drivers…

Artificial intelligence is transforming the way we work and do business. There’s a real buzz around what AI tools like ChatGPT and MidJourney can do. That said, there are many more tools worth exploring. That’s why we’ve compiled a list of AI tools for 2024, many of which you’ll wonder how you ever lived without. We’ve even organized them into categories to help you find the most relevant tools for you. Give the list a read, and you’ll find at least one tool you love. — — — ✍️ Content Writing Tools 1. ChatGPT – AI writing assistant for generating…

Do you think that a small neural network (like TRM) can outperform models many times larger in reasoning tasks? How is it possible for billions of LLM parameters to have such a small number of modest million-parameter iterations solving puzzles? “Currently, we live in a scale-obsessed world: More data. More GPUs mean bigger and better models. This mantra has driven progress in AI till now.” But sometimes less really is more, and the Ting Recursive Models (TRMs) are bold examples of this phenomenon. The results, as proven within this report, are powerful: TRMs achieve 87.4% accuracy on Sudoku-Extreme and 45%…

Recent developments in generative AI, such as GPT, have revolutionized the AI landscape, bolstering chatbot popularity and effectiveness in various applications. Gartner anticipates that within the next five years, leading up to 2027, chatbots will emerge as one of the primary channels for customer support across a multitude of industries. However, despite chatbots’ immense potential for bolstering business performance, they are not without associated security risks. A recent example of substantial security concern is Samsung’s ban on ChatGPT. This action was prompted by instances where employees inadvertently disclosed sensitive information through the chatbot. But issues of ethics and data breaches…

Image by Author   # Introduction  Why do people misread your data? Because they’re data illiterate. That’s your answer. Done. The end of the article. We can go home.  Image Source: Tenor   Yes, it’s true; data literacy is still at low levels in many organizations, even those that are “data-driven”. However, ours is not to go home, but to stick around and try to change that with the way we present our data. We can only improve our own data storytelling skills. If you are looking to refine how you wrap data in narrative, with structure, anecdotes, and visual appeal,…

Over the last few years, Prompt engineering has been the secret handshake of the AI world. The right phrasing could make a model sound poetic, funny, or insightful; the wrong one turned it flat and robotic. But a new Stanford-led paper argues that most of this “craft” has been compensating for something deeper, a hidden bias in how we trained these systems. Their claim is simple: the models were never boring. They were trained to act that way. And the proposed solution, called Verbalized Sampling, might not just change how we prompt models; it could rewrite how we think about…