How to Run Gemma 4 on Your Phone Without Internet: A Hands-On Guide
Most AI tools rely on the internet, sending your prompts to remote servers for processing before returning results. This process has always been invisible to users. Google changes that with Gemma 4! Which if configured properly, runs directly on your phone, eliminating the need for constant connecti...
5 Useful Python Scripts to Automate Boring Excel Tasks
Merging spreadsheets, cleaning exports, and splitting reports are necessary-but-boring tasks. These Python scripts handle the repetitive parts so you can focus on the actual work.
Google’s Gemma 4: Is it the Best Open-Source Model of 2026?
The latest set of open-source models from Google are here, the Gemma 4 family has arrived. Open-source models are getting very popular recently due to privacy concerns and their flexibility to be easily fine-tuned, and now we have 4 versatile open-source models in the Gemma 4 family and they seem ve...
Replit Agent Skills Complete Guide: Write Your Own Skills in Replit
‘Skill’ is the latest buzzword in agentic AI workflows, and you will know this for sure if you use any of the AI coding platforms today. We explored Skills in Claude Code in detail in a previous article. Though not all developers prefer the same AI tool for coding help. Another major player in this ...
A few days ago, a group of researchers at Google dropped a PDF that didn’t just change AI: it wiped billions of dollars off the stock market. If you looked at the charts for Micron (MU) or Western Digital last week, you saw a sea of Red. Why? Because a new technology called TurboQuant just […]
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AI demos often look impressive, delivering fast responses, polished communication, and strong performance in controlled environments. But once real users interact with the system, issues surface like hallucinations, inconsistent tone, and answers that should never be given. What seemed ready for pro...
Pandas DataFrames provide powerful tools for selecting and indexing data efficiently. The two most commonly used indexers are .loc and .iloc. The .loc method selects data using labels such as row and column names, while .iloc works with integer positions based on a 0-based index. Although they may s...
If you have ever looked at a professional spreadsheet, you must have noticed titles spanning across multiple columns. That is the most essential and widely used example of a popular Excel function called Merge. Continuing our Excel 101 series, we shall explore the Cell Merge function today. We shall...
Transformers power modern NLP systems, replacing earlier RNN and LSTM approaches. Their ability to process all words in parallel enables efficient and scalable language modeling, forming the backbone of models like GPT and Gemini. In this article, we break down how Transformers work, starting from t...
ChatLLM Review: Tired of Multiple AI Tools? Here’s a Smarter All-in-One Alternative
Explore ChatLLM by Abacus AI, an all-in-one AI platform that brings together tools like ChatGPT, Claude, and Midjourney into a single workflow. Learn about its features, pricing, and real-world use cases.
How to Speed Up Slow Python Code Even If You’re a Beginner
Slow Python code is often caused by small inefficiencies. With a few beginner-friendly techniques, you can make your programs run noticeably faster. This guide will teach you how.
Guide to Propensity Score Matching for Causal Inference to Estimate True Impact
One of the core challenges of data science is drawing meaningful causal conclusions from observational data. In many such cases, the goal is to estimate the true impact of a treatment or behaviour as fairly as possible. This article explores Propensity Score Matching (PSM), a statistical technique u...
With so much happening in AI and machine learning today, figuring out where to start can feel overwhelming. Different learners prefer different approaches! Some want visuals, others prefer coding. Some prefer short form, others lean toward long-form learning. While many simply want a clear path into...
AI coding assistants have quickly moved from optional tools to a core part of modern software development. Adoption is accelerating fast. Around 84% of developers now use or plan to use AI tools, and over half use them daily. The market has already reached about $8.5 billion in 2026 and is growing r...