LLM Apps
@llmapps
Learning to build LLM applications, starting with @LangChainAI 🦜⛓️ ..what an incredible journey this is going to be!! 😃
ChatGPT has always been pretty good at generating UML diagrams by providing code blocks containing PlantUML markdown which you can plug into @PlantUML's online interface. With Code Engineering mode it's even better cos you can pass source code! Remember you can upload zip files
I made this account to focus on building LLM apps with Python. I'm not quite ready to share material about that (I feel way behind all the smart people 🙈) But I'll share some cool colab stuff. I like colab! This one lets you launch a terminal in colab. colab.research.google.com/drive/1o-JPIAU…
If you want to easily see if your Python project could work with PyPy (i.e., if all the libraries you use are compatible), I came up with this pretty gross one-liner that automates everything: if [ -d "$HOME/.pyenv" ]; then rm -Rf $HOME/.pyenv; fi && \ curl…
If anyone has a LangSmith invite code I'd very much appreciate receiving one 🙏🏼
Context aware text splitting with @LangChainAI
Document splitting is common for vector storage / retrieval, but useful context can be lost. @LangChainAI has 3 new "context-aware" text splitters that keep metadata about where each split came from. Works for code (py, js) c/o @cristobal_dev, PDFs c/o @CorranMac, and Markdown ..
#Python Pop Quiz 🐍❓ What is the output of the following code? A) Python B) Python rocks! C) Python rocks! Python D) Pythonrocks! Python
Voicebox can synthesize speech across six languages, perform noise removal, edit content, transfer audio style & more. It's based on Flow Matching, a new method proposed by Meta AI. More details on this work & real examples ➡️ bit.ly/3CwUw8z
I've just started building LLM applications with LangChain and am excited to share my journey. So far I feel like I'm way behind the hardcore tech crowd, but no matter. Slowly and surely beating a path to AGI-like applications 😀
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