GitHub – Chainlit/chainlit: Build Python LLM apps in minutes
https://bit.ly/42QIzFn #AI #MachineLearning #DeepLearning #LLMs #DataScience
@miketamir
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Chainlit: Python Framework for Rapid LLM Application Development
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List of Open Source LLMs Available for Commercial Use
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GitHub – eugeneyan/open-llms: A list of open LLMs available for commercial use.
https://bit.ly/3MG7VRA #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Computer Vision Embeddings for Machine Learning Applications
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Computer Vision Embeddings for Machine Learning https://
bit.ly/3CzwZE7 #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Guide to Training Your Own Large Language Models
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How to train your own Large Language Models https://
bit.ly/44wZq2d #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Modern Columnar Data Format for ML and LLMs in Rust
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Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. https://
bit.ly/3NwSGek #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Self-Attention Mechanism in Large Language Models Explained
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Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience -

Meta and Microsoft Launch Next Generation Llama Model
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Meta and Microsoft Introduce the Next Generation of Llama https://
ai.meta.com/blog/llama-2/
#AI #MachineLearning #DeepLearning #LLMs #DataScience -

Generative AI Strategy Guide and Best Practices
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Generative AI Strategy https://
bit.ly/42LCDgU #AI #MachineLearning #DeepLearning #LLMs #DataScience -

Self-Attention Mechanism in Large Language Models Coding Guide
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Understanding and Coding the Self-Attention Mechanism of Large Language Models From Scratch https://
bit.ly/3YL821l #AI #DeepLearning #MachineLearning #DataScience -

Modern Columnar Data Format for ML and LLMs in Rust
By
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Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. https://
bit.ly/3NwSGek #AI #MachineLearning #DeepLearning #LLMs #DataScience