Amazon Bedrock AgentCore enables rapid deployment and scaling of AI agents with enterprise-grade security. It provides memory management, identity controls, and tool integration—streamlining development while working with any open-source framework and foundation model.| Amazon Web Services
In this article, we compare CrewAI, AutoGen, Vertex AI, and LangGraph multi-agent frameworks in the context of enabling natural-language (NL) querying and self-service analytics on data platforms.| Infinite Lambda
See how cybersecurity company Trellix used LangGraph Studio to visualize and debug agent interactions, plus LangSmith for agent evaluations| LangChain Blog
Mistral announces Agents API to support agentic AI. LangChain talks about the AI agent future. MCP wins. Google A2A Protocol may join MCP as a standard protocol to deliver multi-agent AI systems.| patmcguinness.substack.com
The toughest prediction any data scientist makes is deciding which tools are worth learning. The explosion of generative AI only makes this harder. My prediction: LangChain is here to stay or, at least, the patterns behind it are. LangChain’s job is to drag non-deterministic GenAI outputs into a deterministic world. Putting GenAI into real workloads demands the right mindset from a data scientist. We’re not training the models that generate the answers; we’re taking those answers and fo...| mdneuzerling.com
What does AI engineering look like in practice? Hands-on examples and learnings from software engineers turned “AI engineers” at seven companies| newsletter.pragmaticengineer.com
Even when the newest LLM shines in the benchmarks, it doesn't mean it will be the right choice for every use case or that users will be happy with its output. Learn how Help Scout approaches rating our AI to create better customer experiences.| www.helpscout.com
Data, Data Science, Machine Learning, Deep Learning, Analytics, Python, R, Tutorials, Tests, Interviews, News, AI| Analytics Yogi
See how Podium tests across the lifecycle development of their AI employee agent, using LangSmith for dataset curation and finetuning. They improved agent F1 response quality to 98% and reduced the need for engineering intervention by 90%.| LangChain Blog
Learn how WordSmith, an AI assistant for legal teams, uses LangSmith across its entire product lifecycle — from prototyping, to evaluation, to debugging, to experimentation.| LangChain Blog
Two years ago it was unclear if AI security and reliability was anyone’s problem. Now, it’s starting to look like everyone’s problem. After all, it turns out that owning a product that might spew heinous slurs and leak all your proprietary data when it’s feeling cheeky might be a bad thing. It would appear that…| Scale Venture Partners