In this tutorial, we build a Wet-Lab Protocol Planner & Validator that acts as an intelligent agent for experimental design […]
Category: Staff
Google AI Introduces DS STAR: A Multi Agent Data Science System That Plans, Codes And Verifies End To End Analytics
How do you turn a vague business style question over messy folders of CSV, JSON and text into reliable Python […]
Generalist AI Introduces GEN-θ: A New Class of Embodied Foundation Models Built for Multimodal Training Directly on High-Fidelity Raw Physical Interaction
How do you build a single model that can learn physical skills from chaotic real world robot data without relying […]
How to Build a Model-Native Agent That Learns Internal Planning, Memory, and Multi-Tool Reasoning Through End-to-End Reinforcement Learning
In this tutorial, we explore how an agent can internalize planning, memory, and tool use within a single neural model […]
OpenAI Introduces IndQA: A Culture Aware Benchmark For Indian Languages
How can we reliably test whether large language models actually understand Indian languages and culture in real world contexts? OpenAI […]
Google AI Introduces Consistency Training for Safer Language Models Under Sycophantic and Jailbreak Style Prompts
How can consistency training help language models resist sycophantic prompts and jailbreak style attacks while keeping their capabilities intact? Large […]
How Can We Build Scalable and Reproducible Machine Learning Experiment Pipelines Using Meta Research Hydra?
In this tutorial, we explore Hydra, an advanced configuration management framework originally developed and open-sourced by Meta Research. We begin […]
Comparing the Top 7 Large Language Models LLMs/Systems for Coding in 2025
Code-oriented large language models moved from autocomplete to software engineering systems. In 2025, leading models must fix real GitHub issues, […]
Cache-to-Cache(C2C): Direct Semantic Communication Between Large Language Models via KV-Cache Fusion
Can large language models collaborate without sending a single token of text? a team of researchers from Tsinghua University, Infinigence […]
How to Build Supervised AI Models When You Don’t Have Annotated Data
One of the biggest challenges in real-world machine learning is that supervised models require labeled data—yet in many practical scenarios, […]