In llm.c pretraining we were already mildly perplexed why seem to be outperforming GPT-2 & 3 (124M) training on just 10B tokens instead of something closer to 100-300B, per the original papers. I suspect a good chunk of it may be just the dataset quality, so I'm eager to retrain
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Language Translation Using LSTM for NLP Sequential Data
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Language Translation Using LSTM: Introduction In natural language processing (NLP), it is important to understand and effectively process sequential data.… https://
analyticsvidhya.com/blog/2024/04/l
anguage-translation-using-lstm/?utm_source=dlvr.it&utm_medium=twitter
… #DataAnalytics #DataScience #DataDriven #BusinessIntelligence #IoT #CTO #ITDirector #Blockchain -
Awesome LLM Apps with RAG and AI Agents Repository
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Thank you for sharing. Find all the awesome LLM apps with RAG and AI agents in this opensource repository.
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Phidata Library Praised for AI Agent Development
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Thank you for sharing. Phidata is super cool library
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Microsoft Launches Free 18-Lesson Generative AI Course on Github
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Microsoft launched the best course on Generative AI! The free 18 lesson course is available on Github and will teach you everything you need to know to start building Generative AI applications.
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Python Machine Learning and AI Engineering Resources
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If you interested in: – Python – Machine Learning – AI Engineering Find me →
@akshay_pachaar My Newsletter on AI Engineering → @ML_Spring Cheers! -
U-Net Semantic Segmentation Library Released
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How it works Internally it uses a U-Net based foreground/background semantic segmentation and yields the post processed results. If you try it, library would download the trained model first. Fine the code here:
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Python Library Removes Image Backgrounds in Five Lines
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This Python library is so powerful! Remove Background of an Image in just 5 lines of code! Try yourself!
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Attention as RNN: Parallel Training with Constant Memory Inference
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6/ Attention as an RNN – presents a new attention mechanism that can be trained in parallel (like Transformers) and be updated efficiently with new tokens requiring constant memory usage for inferences (like RNNs).
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Essential Python Libraries for Data Scientists and ML Engineers
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#Python Libraries Data Scientists Should Know! @kdnuggets #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #RStats #TensorFlow #Java #JavaScript #ReactJS #CloudComputing #Serverless #Linux #Programming #Coding #100DaysofCode https://
geni.us/Python_Know_KD