Well explained the embeddings concept
CODE
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Deploy OpenAI-like AI Assistant with Llama-3 Locally Free
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Create OpenAI like AI assistant with Llama-3 deployed locally on your computer (100% free and without internet): pic.twitter.com/mLIOGM6Ly1
— Shubham Saboo (@Saboo_Shubham_) 6 mai 2024Create OpenAI like AI assistant with Llama-3 deployed locally on your computer (100% free and without internet):
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DistBelief Legacy: Model and Data Parallelism in Modern Neural Networks
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I'm still a bit surprised that you think the system (DistBelief) that first combined large scale model- and data- parallelism with backprop-based training of very large neural nets is a "dead end", given that nearly every large-scale model that is trained today combines these
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matRBM: Early Open Source Project for Restricted Boltzmann Machines
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It was the worst. But it did have a few really awesome UI features, a built-in debugger, persistent memory, etc. This is one of my first open source projects ever: https://
code.google.com/archive/p/matr
bm/
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matRBM, a library to train Restricted Boltzmann Machines in Matlab 🙂 Main training loop: -
Python and C++ in Computer Science Education Since 2005
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There is a record. We started using python for teaching in 2008 (
https://
cs.ubc.ca/~nando/340-200
8/index.html
…) but the team was on if from around 2005. Of course, some people still preferred matlab (eg @sirbayes who still loves it ). Our MoE work (PAQ8) around 2008 was all on C++ because of -
Automatic Differentiation Frameworks Revolutionized Machine Learning Development
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To be honest, Geoff still uses Matlab and that is how we got dropout and distillation. I think software frameworks based on automatic differentiation (eg torch) changed the game, but whether it was lua, matlab or python seemed to matter less. Granted I prefer python and indeed my
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18 Essential Data Science Tools for Analytics Professionals
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18 data science tools to consider using in 2024. https://
techtarget.com/searchbusiness
analytics/feature/15-data-science-tools-to-consider-using
… via @techtargetnews #DataScience #analytics #datasets #code #Javascript #Data #DataScientists #SQL #BigData #Python #Tech #IoT #ML #NLP #TensorFlow #Coding #codenewbies #100DaysOfCode -
DistBelief: The Distributed Neural Network System Behind Modern AI
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The name actually was "DistBelief" for a few reasons. The first was a play on "disbelief", because many people didn't seem to believe the approach of large-scale distributed neural networks would work. The second was because Deep Belief Networks was one of many algorithms we
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Building LLM Agents with Tool Use and Data Analysis
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Building LLM Agents with Tool Use This great video from our friend @JayAlammar at Cohere walks through how to build a data-analyst LLM agent with Cohere's newest Command R+ model Agents are complex, but Jay does a great job of breaking them down! https://
youtube.com/watch?v=5drn2D
O7gNY
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Interpreting Transformer Language Models: Technical Deep Dive
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8). Inner Workings of Transformer Language Models – presents a technical introduction to current techniques used to interpret the inner workings of Transformer-based language models.