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LangChain Academy is live! Our first course — Introduction to LangGraph — teaches you the in-and-outs of building a reliable AI agent. In this course, you’ll learn how to: 🛠️ Build agents with LangGraph's graph-based workflows 🔄 Use memory + human-in-the-loop for smarter, self-corrective agents 📚 Create your own...

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LangChain

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105,434 görüntüleme • 1 yıl önce •via X (Twitter)

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Juan Sensio profil fotoğrafı
Juan Sensio1 yıl önce

Just what I was looking for, starting right now 🤗

TarkWong profil fotoğrafı
TarkWong1 yıl önce

Wow,great!

nicker narayana profil fotoğrafı
nicker narayana1 yıl önce

@unkallben @threecheers99 spread it to any one who wanna dive in to LLM and Generative AI this is best place to. begin with on building backend Apps using GenAI. any one planning to dive in to programming, this gives chance to program and also build new gen products

Danish Khan profil fotoğrafı
Danish Khan1 yıl önce

Signed up, looks amazing!

Wendy Carlosa profil fotoğrafı
Wendy Carlosa1 yıl önce

on mute I'm certain I should be negotiating the release of these hostages but then with sound I give up

Aditya profil fotoğrafı
Aditya1 yıl önce

Had a first look at the course, looks very practical.

GPT.Biz profil fotoğrafı
GPT.Biz1 yıl önce

This course looks super helpful for anyone interested in AI development! I recommend checking it out if you're keen to learn how to build intelligent agents.

William Gray profil fotoğrafı
William Gray1 yıl önce

I have started the course, TBH I love what I have seen so far. I have the course running on my virtual server and accessing it via visual studio code. When will studio be available for Linux, if at all.

Nick Dimitrov profil fotoğrafı
Nick Dimitrov1 yıl önce

This is all nice and sweet with OpenAI. How does it work with HF + local Meta Llama 3.1? I can't make it work in past two days. Different errors occur, from missing chat templates to missing eos/ bos tokens, to inability to bind tools with ChatHuggingFace.bind_tools. any guides?

The Martian profil fotoğrafı
The Martian1 yıl önce

Finally

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🚀 Introducing LangGraph Cloud 🚀 LangGraph helps you build reliable agents that actually work. Today, we've launched LangGraph Cloud, our new infrastructure to run fault-tolerant LangGraph agents at scale. With LangGraph Cloud, you can: • Handle large workloads with horizontally-scaling servers, task queues, and built-in persistence • Debug agent failure modes and iterate quickly in a visual playground-like studio • Deploy in one-click and get integrated tracing & monitoring in LangSmith This builds on LangGraph v0.1, our latest stable release supporting diverse control flows - whether it's single- or multi-agent, hierarchal or sequential. You'll be able to create flexible agents with human-in-the-loop collaboration and first-class streaming support. We can't wait to see the agentic workflows you'll ship. LangGraph Cloud is available in closed beta today. 👉 Join the waitlist for LangGraph Cloud: ✍️ Read our blog post announcement: 📽️ Watch the video walkthrough: 🌀 Haven't tried LangGraph yet? Give it a spin here: 🙌 Check out the new LangGraph landing page:

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You can turn an existing LangGraph agent into a fully functional voice agent with Pipecat AI. This 17-minute walkthrough shows you exactly how to do it.
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