Author name: aifuturethinkers.com

The Physics: Energy, Probability, and Temperature that can exist in several different states. Each state has an associated energy. Some states are cheap, requiring very little energy, while others are expensive. One fundamental question statistical physics asks is deceptively simple: Given all these possible states, how likely is the system to occupy each one? At …

How to Decode the Temperature Parameter in LLMs Read More »

  # Introduction  The narrative around generative AI is shifting in 2026. While massive frontier models keep grabbing headlines, the reality of enterprise AI deployment looks very different. Cost constraints, latency limits, and strict data privacy requirements have pushed engineering teams away from trillion-parameter behemoths and toward small language models (SLMs). Ranging from 1 billion to …

5 Must-Read Resources for Mastering Small Language Models Read More »

Welcome back! our journey of understanding backpropagation in detail. Let’s briefly recall what we covered in Part 1 so far. A Quick Recap We first started trying to understand neural networks using a simple dataset. Image by Author In that process, we first built a small neural network and understood how it makes predictions through …

Backpropagation Explained for Beginners (Part 2): There Has to Be a Better Way Read More »

  # Introduction  Most people’s first AI agent never leaves their laptop. It runs once in a terminal, prints a decent answer, and then sits there because nobody wrote the fifteen lines of glue code needed to turn a script into something other people, or other systems, can actually call. That gap between “it worked when …

7 Steps to Building and Deploying Your First Autonomous Agent Read More »

Developers and customers building production AI agents need higher token efficiency, lower latency, and more reliable performance. Our Flash series of models is built to meet the sweet spot of efficiency and quality to enable scaling agentic workflows. Building on Gemini 3.5 Flash, we’re introducing new Gemini models: 3.6 Flash: Our workhorse model that delivers …

3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber Read More »

model predicts the missing column of any table, zero-shot, the way a language model completes text. On the main community benchmark, every single-model entry above the best tuned gradient-boosted tree is now one of these. This post explains what they are, verifies the strongest one with unrestricted open weights on my own hardware, and maps …

Tabular LLMs: An Introduction to the Foundation Models That Predict Your Spreadsheet Read More »