ACE positions “context engineering” as a first-class alternative to parameter updates. Instead of compressing instructions into short prompts, ACE accumulates and organizes domain-specific tactics ...
Flow-GRPO (Flow-based Group Refined Policy Optimization) converts long-horizon, sparse-reward optimization into tractable single-turn updates: Benchmarks. The research team evaluates four task types: ...
What if an AI agent could localize a root cause, prove a candidate fix via automated analysis and testing, and proactively rewrite related code to eliminate the entire vulnerability class—then open an ...
Google AI Proposes ReasoningBank: A Strategy-Level AI Agent Memory Framework that Makes LLM Agents Self-Evolve at Test Time ...
Liquid AI has released LFM2-Audio-1.5B, a compact audio–language foundation model that both understands and generates speech and text through a single end-to-end stack. It positions itself for ...
SwiReasoning is a decoding-time framework that lets a reasoning LLM decide when to think in latent space and when to write explicit chain-of-thought, using ...
Meta has released MobileLLM-R1, a family of lightweight edge reasoning models now available on Hugging Face. The release includes models ranging from 140M to 950M parameters, with a focus on efficient ...
A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like user preferences, past conversations, and ...
What is an AI Agent? An AI Agent is an autonomous software system that can perceive its environment, interpret data, reason, and execute actions to achieve specific goals without explicit human ...
In the rapidly evolving field of agentic AI and AI Agents, staying informed is essential. Here’s a comprehensive, up-to-date list of the Top 10 AI Agent and Agentic AI News Blogs (2025 Update)—from ...
This hands-on tutorial will walk you through the entire process of working with CSV/Excel files and conducting exploratory data analysis (EDA) in Python. We’ll use a realistic e-commerce sales dataset ...
Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.
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