Our workshop is over, coding is in full swing, and soon our very own @JonathanRoss321 will help judge the final round in the @AIatMeta and @cerebral_valley Llama 3 hackathon. Can't wait to see what everyone built on Groq!
OPEN SOURCE
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Essential Machine Learning Tools and Libraries Guide
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Practical Machine Learning Tools and Libraries. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #JavaScript #ReactJS #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Practical-ML-T
ools
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IBM Releases Granite Code Models Across 116 Programming Languages
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10). Granite Code Models – introduce Granite, a series of code models trained with code written in 116 programming languages; it consists of models ranging in size from 3 to 34 billion parameters, suitable for applications ranging from application modernization tasks to on-device
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MAmmoTH2: Harvesting Web Data to Enhance LLM Reasoning
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9). MAmmoTH2 – harvest 10 million naturally existing instruction data from the pre-training web corpus to enhance LLM reasoning; the approach first recalls relevant documents, extracts instruction-response pairs, and then refines the extracted pairs using open-source LLMs;
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Building vs Reusing: Learning and Optimization for Your Tech Stack
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Totally agree Sometimes it’s better to reuse existing stuff, but sometimes it’s better to build your own thing for first principles. You will learn a lot, you get more free in what you can do with it, you can optimize it for your use cases, and you build your own niche. Been
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Token Encoding and Decoding: Asymmetric Complexity in LLMs
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decoding (tokens -> string) is just lookup table and string concat. encoding (string -> tokens) is a pain. For sentencepiece I *think* llama2.c has a simple implementation that probably works but I'm not 100% sure: https://
github.com/karpathy/llama
2.c/blob/master/run.c#L452
… For tiktoken-style, the problem is the -
Neural Network Projects with Python for Data Science
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Neural Network Projects with #Python! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/N-N-Projects-W
ith
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Julia Lang Programming Projects for Data Science and AI
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#JuliaLang Programming Projects! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/JuliaLang-Pro-
Proj
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Python Libraries Cheat-Sheets for Data Science and Machine Learning
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Cheat-Sheets! #Python Libraries! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Python-Cheat_Sh -
25 Essential GitHub Repositories for Data Science and AI
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25 Amazing GitHub Repos to Check. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/25-Github-Check