DEEPSEEK
LangChain Unveils Polly: AI Agent Engineer to Enhance Debugging
LangChain introduces Polly, an AI assistant in LangSmith to aid in debugging and improving agent performance, providing advanced analysis and prompt engineering capabilities.
Agent Engineering: Bridging the Gap Between Development and Production
Agent engineering is emerging as a crucial discipline in developing reliable AI systems. Learn how it combines product thinking, engineering, and data science for non-deterministic systems.
NVIDIA and Synopsys Forge Alliance to Transform Engineering and Design
NVIDIA and Synopsys have announced a strategic partnership aimed at revolutionizing engineering and design, leveraging AI and accelerated computing technologies.
NVIDIA Leaders Honored with Queen Elizabeth Prize for Engineering
NVIDIA's Jensen Huang and Bill Dally receive the Queen Elizabeth Prize for their pivotal work in AI and accelerated computing, marking a significant contribution to modern engineering.
Kaggle Grandmasters Reveal Key Techniques for Tabular Data Mastery
Explore the Kaggle Grandmasters' strategies for mastering tabular data, including GPU acceleration techniques, diverse baselines, and feature engineering. Discover how these methods can enhance real-world data modeling.
Together AI Leverages AI Agents for Complex Engineering Automation
Together AI utilizes AI agents to automate intricate engineering tasks, optimizing LLM inference systems and reducing manual intervention, according to Together AI.
Open SWE: Transforming Software Engineering with an Open-Source Asynchronous Agent
LangChain introduces Open SWE, a groundbreaking open-source asynchronous coding agent, enhancing software engineering with cloud-hosted automation and seamless GitHub integration.
Exploring Context Engineering in AI Agent Development
Discover how context engineering is transforming AI agent development by optimizing information management through strategies like writing, selecting, compressing, and isolating context.
Understanding the Emergence of Context Engineering in AI Systems
Discover the rise of context engineering, a crucial component in AI systems that ensures effective communication and functionality for large language models (LLMs).
Strategizing Multi-Agent Systems: Insights from Recent Discussions
Explore the challenges and strategies in building multi-agent systems, as discussed by LangChain Blog, Cognition, and Anthropic. Understand the importance of context engineering and the nuances of read vs. write tasks.
