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Artificial Intelligence
Multiple AI models help robots execute complex plans more transparently
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January 9, 2024
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Artificial Intelligence
Character.AI introduces group chats where people and multiple AIs can confer with one another
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October 11, 2023
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Artificial Intelligence
Use Python to Download Multiple Files (or URLs) in Parallel
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September 8, 2023
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Artificial Intelligence
Unleashing the Power of Multiple Timeseries Forecasting đź“Šđź’ˇ Create forecasts with Stats & ML methods. Stats Methods with StatsForecast ML Methods with MLForecast Forecast plots Validate Model’s Performance Plot CV Aggregate sales forecasts for all items Evaluate forecasts per store_item and CV window Distribution of errors Select Best Model Per Item_id & Cross Validation Fold We will find the perfect performing model per store_item (=item_id), evaluation metric & cross validation fold In what number of cross validation fold & metric is each model over performing best? What’s the perfect model for store_item=”1_1″ sales forecasting? Visualize the forecasts of the perfect model for unique_id == “1_1” Visualize AutoETS forecasts for more unique_ids Visualize XGBRegressor forecasts for more unique_ids Sources
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June 21, 2023
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Artificial Intelligence
Generative AI: A Beginner’s Guide Intro What’s Generative AI? Text Images — Video — Audio Why now? What are the issues in NLP space Limitation of RNN and LSTM models Transformation Brought by Transformers Application of Transformers in Multiple Modalities A Basic Introduction to Transformers 1. Tokenisation: (Input and Output) 2. Attention 3. Encoder Decoder Transformers Models in the present day How do I take advantage of these models? Evaluation of LLM How are these models trained? Constructing Applications Basics of Prompt Engineering Plugins and Augmentation High quality Tuning References
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June 17, 2023
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Artificial Intelligence
Generative AI: A Beginner’s Guide Intro What’s Generative AI? Text Images — Video — Audio Why now? What are the issues in NLP space Limitation of RNN and LSTM models Transformation Brought by Transformers Application of Transformers in Multiple Modalities A Basic Introduction to Transformers 1. Tokenisation: (Input and Output) 2. Attention 3. Encoder Decoder Transformers Models in the present day How do I exploit these models? Evaluation of LLM How are these models trained? Constructing Applications Basics of Prompt Engineering Plugins and Augmentation Nice Tuning References
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June 16, 2023
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Artificial Intelligence
Testing Anthropic Claude’s 100k-token window on SEC 10-K Filings High-Level Findings Overview of Methodology Tutorial Setup Analyzing a Single Document Analyzing Multiple Documents Conclusion
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May 15, 2023
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Artificial Intelligence
Why and How one can Adjust P-values in Multiple Hypothesis Testing
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May 5, 2023
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