Abstractive text summarization with BART — using KerasNLP and Keras Core, with JAX
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Full Finetuning Missing from Parameter-Efficient Techniques Comparison
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That's a really nice figure! I would say in addition to all the parameter-efficient finetuning techniques, one category that is missing is full finetuning. That is, just training the model as is without PEFT.
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Arabic-English-Code Model Enables Multilingual Transfer Learning
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(2/2) Training on an Arabic-English-Code dataset has allowed for transfer learning from English to Arabic and also from Arabic to English. Access the model on Hugging Face: https://
huggingface.co/inception-mbzu
ai
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WizMap: Interactive Embedding Visualization for Large Language Models
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GitHub – poloclub/wizmap: Explore and interpret large embeddings in your browser with interactive visualization! https://
bit.ly/3Qvp2Iq #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Free Harvard AI and Python Course Now Available Online
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You can now learn Python with a focus on AI from Harvard. And it's FREE! • Graph search algorithms
• Reinforcement learning
• Machine learning
• AI principles
• How to design intelligent systems
• How to use AI in Python programs https://
pll.harvard.edu/course/cs50s-i
ntroduction-artificial-intelligence-python?delta=0
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Machine Learning Predicts Hurricane Rapid Intensification and Decay
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Learn how researchers used #machinelearning to more accurately predict the rapid intensification and slower decay of recent hurricanes. The article contains links to code and data to create your own models. https://
blogs.mathworks.com/headlines/2023
/08/30/the-scary-combination-of-rapid-intensification-and-slower-decay-in-hurricanes/
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Understanding Tokens: How AI Models Process Text
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What is a token? Tokens are how the model understands text. Instead of understanding text at a word level or an individual character level, it understands at a token level.
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AutoTrain DreamBooth Now Available on Hugging Face Spaces
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AutoTrain DreamBooth is now available for training on Hugging Face Spaces! It means, you can train models like SDXL, Stable Diffusion 1.5/2.0, etc on your own images on Spaces Hardware! Not only that, you can train multiple jobs for one model with different parameters,
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Return Intermediate Steps Configuration for LLM Chains
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For most chains you should be able to pass ‘return_intermediate_steps=True’