How can AI teams run Tinker style reinforcement learning on large language models using their own infrastructure with a single […]
Category: Staff
How to Design a Persistent Memory and Personalized Agentic AI System with Decay and Self-Evaluation?
In this tutorial, we explore how to build an intelligent agent that remembers, learns, and adapts to us over time. […]
How to Create AI-ready APIs?
Postman recently released a comprehensive checklist and developer guide for building AI-ready APIs, highlighting a simple truth: even the most […]
LongCat-Flash-Omni: A SOTA Open-Source Omni-Modal Model with 560B Parameters with 27B activated, Excelling at Real-Time Audio-Visual Interaction
How do you design a single model that can listen, see, read and respond in real time across text, image, […]
Comparing the Top 6 OCR (Optical Character Recognition) Models/Systems in 2025
Optical character recognition has moved from plain text extraction to document intelligence. Modern systems must read scanned and digital PDFs […]
A Coding Implementation of a Comprehensive Enterprise AI Benchmarking Framework to Evaluate Rule-Based LLM, and Hybrid Agentic AI Systems Across Real-World Tasks
In this tutorial, we develop a comprehensive benchmarking framework to evaluate various types of agentic AI systems on real-world enterprise […]
DeepAgent: A Deep Reasoning AI Agent that Performs Autonomous Thinking, Tool Discovery, and Action Execution within a Single Reasoning Process
Most agent frameworks still run a predefined Reason, Act, Observe loop, so the agent can only use the tools that […]
Anthropic’s New Research Shows Claude can Detect Injected Concepts, but only in Controlled Layers
How do you tell whether a model is actually noticing its own internal state instead of just repeating what training […]
How to Build an End-to-End Data Engineering and Machine Learning Pipeline with Apache Spark and PySpark
In this tutorial, we explore how to harness Apache Spark’s techniques using PySpark directly in Google Colab. We begin by […]
Google AI Unveils Supervised Reinforcement Learning (SRL): A Step Wise Framework with Expert Trajectories to Teach Small Language Models to Reason through Hard Problems
How can a small model learn to solve tasks it currently fails at, without rote imitation or relying on a […]