7). Granite 3.0 – presents lightweight foundation models ranging from 400 million to 8B parameters; supports coding, RAG, reasoning, and function calling, focusing on enterprise use cases, including on-premise and on-device settings.
CODE
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Build Fast Multi-Modal Apps with Groq and Gradio
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Build fast multi-modal apps on @Gradio
, Powered by Groq! Using Whisper & Llama-3.2-vision, your end product will enable voice to text to LLM response, image to text & traditional chat. Check out @BenjaminKlieger's tutorial & repo at https://
hubs.la/Q02VzJmQ0 -
Llama PDF Pre-Processing Logic Guide Released
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You can find it here: https://
github.com/meta-llama/lla
ma-recipes/blob/main/recipes/quickstart/NotebookLlama/Step-1PDF-Pre-Processing-Logic.ipynb
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Learning Code Preference via Synthetic Evolution
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Learning Code Preference via Synthetic Evolution Liu et al.: https://
arxiv.org/abs/2410.03837 #Artificialintelligence #DeepLearning #MachineLearning -
Meta Releases Llama Recipes GitHub Repository for Quick Start
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Check it out here: https://
github.com/meta-llama/lla
ma-recipes/tree/main/recipes/quickstart/NotebookLlama
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Meta Releases NotebookLlama: Open Recipe Using Llama Models
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Wow! Meta dropped an open NotebookLM recipe: NotebookLlama 🔥
— Vaibhav (VB) Srivastav (@reach_vb) 27 octobre 2024
It uses L3.2 1B/ 3B for pre-processing the PDF, L3.1 70B for Transcript creation, L3.1 8B for re-writes and Parler TTS for Text to Speech ⚡
Step 1: Pre-process PDF: Use Llama-3.2-1B-Instruct to pre-process the PDF… pic.twitter.com/L7hb5GsMtlWow! Meta dropped an open NotebookLM recipe: NotebookLlama It uses L3.2 1B/ 3B for pre-processing the PDF, L3.1 70B for Transcript creation, L3.1 8B for re-writes and Parler TTS for Text to Speech Step 1: Pre-process PDF: Use Llama-3.2-1B-Instruct to pre-process the PDF
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10 Most Common Loss Functions in Machine Learning
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10 most common loss functions in machine learning:
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Master Data Engineering Best Practices with AI Tools
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Sharpen your data engineering expertise with the latest best practices. Our Big Book of Data Engineering shares practical guidance on: Using AI tools for faster code dev Scaling ETL pipelines Implementing data governance And more: https://
dbricks.co/4hmbDNO -
AGIJobManager Contract Deployed: NFT-Based AGI Entity Management
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This is the already deployed and operational AGIJobManager contract: https://
etherscan.io/address/0x0178
b6bad606aaf908f72135b8ec32fc1d5ba477#code
… NFT outputs of "AGI entities" are directly handled by this contract, ensuring provenance. Here are some of the preliminary outputs: https://
opensea.io/collection/agi
jobs
… $AGI #AGIAgent #AGIJobs -
JPMorgan Python Training for Business Analysts and Traders
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GitHub – jpmorganchase/python-training: Python training for business analysts and traders https://
bit.ly/4dsAAnp
#AI #MachineLearning #DeepLearning #LLMs #DataScience