In this article, you will learn six practical frameworks you can use to give AI agents persistent memory for better context, recall, and personalization. Topics we will cover include: What “agent memory” means and why it matters for real-world assistants.…
Google AI Research team recently released Groundsource, a new methodology that uses Gemini model to extract structured historical data from unstructured public news reports. The project addresses the lack of historical data for rapid-onset natural…
In this article, you will learn how to use a pre-trained large language model to extract structured features from text and combine them with numeric columns to train a supervised classifier. Topics we will cover include: Creating a toy dataset…
In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools and access domain-specific knowledge more effectively. Two common approaches that have emerged are skills and MCPs. While they may appear…
In this article, you will learn how to use Google Colab’s AI-assisted coding features — especially AI prompt cells — to generate, explain, and refine Python code directly in the notebook environment. Topics we will cover include: How AI prompt…
In this article, you will learn practical strategies for building useful machine learning solutions when you have limited compute, imperfect data, and little to no engineering support. Topics we will cover include: What “low-resource” really looks like in practice. Why…
Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient’s lungs, legs, feet, and other parts of the body. The condition is chronic and incurable, often leading to arrhythmias or sudden…
In this tutorial, we implement a Colab-ready version of the AutoResearch framework originally proposed by Andrej Karpathy. We build an automated experimentation pipeline that clones the AutoResearch repository, prepares a lightweight training environment, and runs a baseline experiment to establish…
Stanford researchers have introduced OpenJarvis, an open-source framework for building personal AI agents that run entirely on-device. The project comes from Stanford’s Scaling Intelligence Lab and is presented as both a research platform and deployment-ready infrastructure for local-first AI systems.…
@dataclass class AgentConfig: horizon: int = 6 replan_on_target_move: bool = True replan_on_obstacle_change: bool = True max_steps: int = 120 think_latency: float = 0.02 act_latency: float = 0.01 risk_gate: float = 0.85 alt_search_depth: int = 2 @dataclass class StreamingDecisionAgent: cfg: AgentConfig…
