That's a wrap! If you are interested in any of these below topics: – Python – Data Science – Machine Learning – Data Analysis – LLMs – MLOps Find me → @Sumanth_077 I'm sharing daily content over here.
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Building Video AI Applications on Jetson Nano Course
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3. Building AI Applications on Jetson Nano https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+S-IV-02+V2
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Augment Your LLM Using RAGs NVIDIA Course
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4. Augment your LLM Using RAGs https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:NVIDIA+S-FX-16+v1
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Building A Brain in 10 Minutes NVIDIA Course
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2. Building A Brain in 10 Minutes https://
learn.nvidia.com/courses/course
-detail?course_id=course-v1:DLI+T-FX-01+V1
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Free Nvidia Courses on Generative AI, Computer Vision and RAG
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Free courses from Nvidia on Generative AI Foundations, Computer Vision and RAG:
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DistBelief Distributed Training System Framework Comparison
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DistBelief is the distributed training system used for that paper & 1000s of other things. Your statement is equivalent to implementing an unsupervised algorithm in PyTorch, seeing modest results (like 70% relative improvement in SoTA on Imagenet 20k) & declaring PyTorch a dead
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Embedchain GitHub Data Source Documentation Details
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Yes. More details are on the documentation: https://
docs.embedchain.ai/components/dat
a-sources/github
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Explore LLM Apps with RAG in GitHub Repository
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Streamlit Chat Application Demo Setup Guide
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 5 mai 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_github.py' pic.twitter.com/QAZDihgiPIWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run chat_github.py'
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Full RAG Application Code for GitHub Repository Chat
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Full RAG Application Code to Chat with GitHub Repo