Transformer: Concept and code from scratch https://
bit.ly/45YXobu #AI #MachineLearning #DeepLearning #LLMs #DataScience
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Building Transformers from Scratch: Concept and Implementation
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Apache Spark Structured Streaming Technical Session Announcement
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Next week, we’re talking about all things Apache Spark Structured Streaming. Mark your calendars to join @MrSiWhiteley
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Mitigating Hallucinations and Biases in Large Language Models
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7 tips to Mitigate Hallucinations and Biases in Large Language Models Here is the first of 8 videos from our Training & Fine-Tuning LLMs for Production course with @towards_AI
, @activeloop and the @intel Disruptor initiative! Learn more in the video: https://
youtu.be/CCFkfouJFE8 -
GPT-4 API Now Supports Image Input Capabilities
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Using image inputs with GPT-4! Will be available via our API.
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How I Accidentally Became Interested in Data Science
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How I Accidentally became Interested in Data Science | D-Lab https://
bit.ly/46gLGIV #AI #MachineLearning #DeepLearning #LLMs #DataScience -
T-shaped Software Engineers: Balancing Depth and Breadth in Programming
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George DeMet says, "When I'm thinking about a T-shaped person, say they're a software engineer, they're going to have a depth of knowledge in the different programming languages that they work with.
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AutoTrain Advanced Enables Reward Model Training with Simple CLI Parameters
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With just a few CLI params, AutoTrain Advanced now lets you train a reward model! ML engineers, rejoice! No-code? No problem! Just pip install autotrain-advanced and let your system work for you!
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Deep Learning with Python: 2017 Predictions Materializing Eight Years Later
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Deep learning with Python, 2017 (first edition). Paragraphs written in 2016, technically. Eight years later, much of this has come true, and the rest won't take much longer.
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Emergent Complexity in Neural Networks Through Gradient Descent
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the non-linearity by itself isn't complex, something as simple as max(x, 0).
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Understanding Two-Layer Perceptron Optimization Dynamics
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the optimization dynamics of a two-layer perceptron are barely understood. that's just two matmuls and one pointwise non-linear function in between