Stanford CS224W: Machine Learning with Graphs – YouTube
https://bit.ly/3wPe1nR #MachineLearning #AI #DeepLearning #DataScience
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Stanford CS224W: Machine Learning with Graphs
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Query Generation for LangChain and LangSmith Tools
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is basically generating different queries eg if you have a higher level question "what is the difference between langchain and langsmith" the queries generated may be: "what is langchain"
"what is langsmith"
"difference between langchain and langsmith" -
LangChain Web Explorer: AI Agent-Like Properties Introduced
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Inspired by a lot of talks with @GregKamradt and him highlighting how this was a perfect application for AI This is also just the first step – we hope to add in more "agent-like" properties next! Repo here: https://
github.com/langchain-ai/w
eb-explorer/tree/main
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Web Research Agent: From Concept to Advanced Retrieval Method
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Web Researcher Excited to share this project I've been working on with @RLanceMartin Started off as attempt to build a web research AGENT, but turned more into a fancy retrieval method Read about our thought process and learnings here: https://
blog.langchain.dev/automating-web
-research/
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Build Generative AI Apps with Gradio and Transformers
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Join Poli and Andrew in learning how to build generative AI applications with Gradio, Transformers and Diffusers! 🤗 https://t.co/e8JU2ugq6k https://t.co/rt08XD6pRA
— Hugging Face (@huggingface) 26 juillet 2023Join Poli and Andrew in learning how to build generative AI applications with Gradio, Transformers and Diffusers! https://
deeplearning.ai/short-courses/
building-generative-ai-applications-with-gradio/
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Essential Data Science Cheat-Sheet: ML, Probability & Statistics
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This 10-page data science cheat-sheet covers machine learning, probability, statistics & more: http://
bit.ly/2mmrIMB (
@MaverickLin v/
@KirkDBorne
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Building Generative AI Applications with Gradio Course
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New course with @huggingface! Building Generative AI Applications with Gradio, taught by Apolinário Passos @apolinariosteps, shows you how to quickly create demos of your machine learning applications to test and iterate/share with others. Check it out! https://t.co/SQZK6y7fnI pic.twitter.com/GbrgLE1qIG
— Andrew Ng (@AndrewYNg) 26 juillet 2023New course with @huggingface
! Building Generative AI Applications with Gradio, taught by Apolinário Passos @apolinariosteps
, shows you how to quickly create demos of your machine learning applications to test and iterate/share with others. Check it out! https://
deeplearning.ai/short-courses/
building-generative-ai-applications-with-gradio/
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Llama 2 Now Available on Inference API for Free
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Llama 2 just landed in Inference API It is available for free for PRO and Enterprise Hub users (no additional per-token billing) Just start making HTTP calls and use one of the best open LLMs, no infra needed
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Machine Learning Class Coverage of KNN Lecture Notes
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I usually cover these in my machine learning classes https://
sebastianraschka.com/pdf/lecture-no
tes/stat451fs21/02-knn__slides.pdf
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Background execution and minimal pseudocode implementation approach
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I let it run in the background, I think it was a day or so. But yeah, you can be much smarter about the implementation, I just kept it minimal, implementing the exact pseudocode they had in the paper