I Built an AI Pipeline for Kindle Highlights
A local, zero-cost project that cleans, structures, and summarizes your reading automatically The post I Built an AI Pipeline for Kindle Highlights appeared first on Towards Data Science .
A local, zero-cost project that cleans, structures, and summarizes your reading automatically The post I Built an AI Pipeline for Kindle Highlights appeared first on Towards Data Science .
In this article, author Vignesh Durai discusses how agentic and multimodal AI systems can be engineered using Apache Camel and LangChain4j technologies. The key components in the solution include LLM-based…
A practical pipeline for classifying messy free-text data into meaningful categories using a locally hosted LLM, no labeled training data required. The post Using a Local LLM as a Zero-Shot…
Run OpenClaw assistant through alternative LLMs The post How to Run OpenClaw with Open-Source Models appeared first on Towards Data Science .
Anthropic introduces Managed Agents on Claude, a managed execution layer for agent-based workflows. It separates agent logic from runtime concerns like orchestration, sandboxing, state management, and credentials. The system supports…
Sudeep Das and Pradeep Muthukrishnan explain the shift from static merchandising to dynamic, moment-aware personalization at DoorDash. They share how LLMs generate natural-language "consumer profiles" and content blueprints, while traditional…
LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems. It provides persistent memory across episodic, semantic, and procedural layers, supporting multi-agent coordination, retrieval, and lifecycle…
Google's Agent Development Kit for Java reached 1.0, introducing integrations with new external tools, a new app and plugin architecture, advanced context engineering, human-in-the-loop workflows, and more. By Sergio De…
Google announced Aletheia, an AI using Gemini 3 Deep Think that solved 6/10 novel math problems in the FirstProof challenge. Aletheia also scored ~91.9% on IMO-ProofBench, signaling a significant shift…
Meta introduces Just-in-Time (JiT) testing, a dynamic approach that generates tests during code review instead of relying on static test suites. The system improves bug detection by ~4x in AI-assisted…
A new blog from the Cloud Native Computing Foundation highlights a critical gap in how organizations are deploying large language models (LLMs) on Kubernetes: while Kubernetes excels at orchestrating and…
Anthropic has introduced a new Code Review feature for Claude Code, adding an agent-based pull request review system that analyzes code changes using multiple AI reviewers. By Daniel Dominguez