LangGraph Dart Client Just released: A type-safe Dart package that brings LangGraph agents to Flutter apps. Build stateful AI interactions with streaming support across mobile, web, and desktop platforms. Start building AI-powered Flutter apps today!
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Multi-Agent Development Workflows with LangGraph
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AI Coding Evolution Webinar Join LangChain and Qodo CEOs to explore multi-agent development workflows. Discover how to orchestrate intelligent agents using LangGraph, featuring model-aware systems and practical integration patterns. Don't miss out – register now!
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Build AI Web App with LangChain and Streamlit in 18 Lines
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18-Line LLM Tutorial Create an AI-powered web app using LangChain and Streamlit in just 18 lines of Python! Features ChatOpenAI integration and an interactive interface for handling user prompts. Ready to build your first LLM app? Start here https://
docs.streamlit.io/develop/tutori
als/chat-and-llm-apps/llm-quickstart
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Build Production-Ready AI Agents Hackathon March 8
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Personal AI Agent Build Day Top minds from Robinhood, LangChain & Anthropic lead this hands-on hackathon to build production-ready AI assistants. Transform your AI projects using LangChain's agent frameworks and partner tools. Join us March 8! https://
app.agihouse.org/events/persona
l-ai-20250308
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Reasoning Models Training with Deep Math and Coding Problems
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Yeah I think it’s very similar! One difference I think is that in the RL they’re explicitly exposed to lots of deep math / coding problems with detailed solutions that are presumably not in the regular base model training data. And the reasoning models can expend more thinking
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LangGraph 0.3 Introduces Prebuilt Agents for AI Development
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LangGraph 0.3: Prebuilt Agents We just released LangGraph 0.3, introducing prebuilt agents that streamline AI application development. These ready-to-use templates enhance LangGraph's core capabilities. Learn more about prebuilt agents
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ESPnet-SpeechLM: Open Source Speech Language Model Toolkit
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ESPnet-SpeechLM: An Open Speech Language Model Toolkit ESPnet-SpeechLM is an open-source toolkit for developing Speech Language Models (SpeechLMs) and voice-driven applications. It simplifies speech processing by framing tasks as sequential modeling problems, automating data
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Cost-Efficient Collaboration Between On-Device and Cloud Language Models
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Minions: Cost-efficient Collaboration Between On-device and Cloud Language Models This paper explores a cost-efficient collaboration between small, on-device language models (LMs) and large, cloud-hosted LMs for data-intensive tasks. The MinionS protocol improves task
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SWE-RL: Enhancing LLM Reasoning Through Software Evolution
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SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution SWE-RL is a reinforcement learning (RL) approach that enhances LLM reasoning for software engineering by learning from open-source software evolution data. It trains Llama3-SWE-RL-70B on GitHub
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Building Production-Ready RAG Systems with Qdrant FastAPI
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RAG Pipeline Guide Learn to build production-ready RAG systems using Qdrant vector DB, FastAPI, and LangChain's LCEL for sophisticated retrieval chains. Key features:
– Async vector search
– Type-safe FastAPI endpoints
– LCEL RAG pipelines Start building better RAG systems!