5 GitHub repositories you should definitely check as an AI/Machine Learning Engineer:
OPEN SOURCE
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AutoTrain Comprehensive Documentation Now Available for Model Training
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Brand new, extensive docs for AutoTrain are now available here: https://
huggingface.co/docs/autotrain
/index
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Train models locally, on Hugging Face Spaces, on DGX Cloud or anywhere -
Open-source robot arms under $100 launching soon
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So cool to see @therobotstudio starting to design some really really cheap open-source robot arms (goal is under $100 ) – First prototypes in a few days! – Join the discussion on the discord to follow more https://
discord.com/invite/s3Kuuzs
PFb
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Datasette-secrets updates and mysterious video project announcement
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Weeknotes: more datasette-secrets, plus a mystery video project that I'm not talking about yet
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Keras Models Publishing to Hugging Face Hub Integration
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Publish your models directly from Keras to @huggingface I've been wanting to do this for the longest time – basically for as long as i've used Keras. (Fun fact: our chatbot back in 2016 had many parts that were powered by Keras.) The ability to natively load from/to the Hub
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Enterprise AI Observability and Open-Source LLM Hosting Launch
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ICYMI: We launched new cross-environment AI observability with enterprise-grade open-source LLM hosting — available across all AI assets and environments. Not able to join live? Check out the on-demand recording from our virtual launch event with @decisionleader and @nvidia
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Flowise v1.7 Introduces Lead Information Collection Feature
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1/3
— FlowiseAI (@FlowiseAI) 7 mai 2024
Flowise v1.7 also comes with feature that allow users to collect lead information. pic.twitter.com/uvdSgTnOtI1/3 Flowise v1.7 also comes with feature that allow users to collect lead information.
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Flowise v1.7 Introduces Document Stores for RAG Data Processing
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Flowise major release v1.7 🎉
— FlowiseAI (@FlowiseAI) 7 mai 2024
Introducing – Document Stores.
Ensuring clean data pre-processing is vital when building RAG. With Document Stores, users can:
🔄 Reuse chunks for upserting
🧩 Splitter playground
📝 Edit, update & remove redundant data
Other goodies in v1.7: pic.twitter.com/U9jPuInmIjFlowise major release v1.7 Introducing – Document Stores. Ensuring clean data pre-processing is vital when building RAG. With Document Stores, users can: Reuse chunks for upserting Splitter playground Edit, update & remove redundant data Other goodies in v1.7:
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HyperWrite excels in writing assistance with custom LLaMA 3 model
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The use-case for @HyperWriteAI is different than ChatGPT + Claude. Those are best for solving coding/reasoning problems. If you're looking for writing assistance, research, creative help, etc., this is where HyperWrite shines. Subscribe to both. It's worth it. Matt Shumer (@mattshumer_) LLaMA 3 70B is live on @HyperWriteAI! A custom version I've been working on for weeks. – writes more like a human than any other model – can access real-time info Crushing every other model, including GPT-4, in user preference tests. 🤯Seriously, look at the writing quality: — https://nitter.net/mattshumer_/status/1787650529067175968#m
→ View original post on X — @hyperwriteai, 2024-05-07 15:08 UTC
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LangGraph Tutorial: Building AI Agents with Customer Support
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2/ Check out the tutorial at the links below: Watch: https://
youtu.be/b3XsvoFWp4c Code: https://
langchain-ai.github.io/langgraph/tuto
rials/customer-support/customer-support/
… LangGraph Docs: https://
langchain-ai.github.io/langgraph/