From the course: Rust LLMOps
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Function: The essence of programming - Rust Tutorial
From the course: Rust LLMOps
Function: The essence of programming
- [Instructor] When you first start learning to program, one of the things that is very confusing is what is necessary suffering and what is useless suffering? And this can be a process that can take years to master. I'm going to break it down in a way that I believe can help people shortcut this process by, let's say, five years. So first up, let's look at what's actually programming, what's essential. If you think about a function here, which has an input, an X and a Y, it does a unit of work, and this is, let's say, a total, which would return back the sum of X and Y, and then the return. This is all programming languages. It could be Rust, it could be Python, it could be JavaScript, it could be Ruby, but the essence of programming is you have a unit of work that takes inputs, it does the work, and then it returns back. Anything else, other than this, is either useless suffering, which you should automate, or it's optional, it may or may not be useful. So first, let's take a look…
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Function: The essence of programming6m 48s
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Operationalizing microservices1m 57s
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Continuous integration for microservices6m 54s
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What is a Makefile and how do you use it?2m 41s
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What is DevOps?2m 29s
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Kaizen methodology4m 6s
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Infrastructure as code for continuous delivery2m 50s
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Responding to compromised resources and workloads4m 16s
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Monitoring and logging1m 47s
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Auditing networks1m 6s
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Rust: Secure by design4m 52s
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Preventing data races with the Rust compiler3m 29s
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AWS config for security4m 26s
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Demo: AWS Security Hub3m 39s
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Securing accounts with 2FA3m 11s
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Access permissions overview4m 4s
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Repository permission levels2m 37s
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Repository privacy settings2m 52s
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Key concepts in the GitHub ecosystem3m 43s
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Demo: GitHub Actions3m 50s
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Demo: Codespaces6m 8s
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Demo: Copilot8m 9s
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Candle framework in Rust2m 58s
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GitHub Codespaces with GPU5m 55s
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VS Code SSH to AWS accelerated5m 14s
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Candle hello world2m 56s
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Exploring StarCoder in Rust5m 54s
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Whisper Candle transcriber5m 51s
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Exploring remote development on AWS2m 10s
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Rust for large language models (LLMs)1m 56s
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Serverless inference1m 52s
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Rust CLI inference2m 2s
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Rust chat inference1m 59s
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The continuous build binary2m 6s
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The chat loop with StarCoder2m 4s
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Invoke an LLM on an AWS G5 instance, part 14m 36s
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Invoke an LLM on an AWS G5 instance, part 23m 1s
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Rust-BERT introduction1m 51s
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Installing and setting up Rust-BERT5m 38s
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Basic syntax and model loading in Rust-BERT2m 4s
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Rust sentiment analysis in the CLI4m 13s
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Rust-PyTorch introduction1m 54s
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Rust-PyTorch hello world2m 28s
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PyTorch pretrained models3m 39s
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Running pretrained PyTorch models in Rust6m 41s
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Introduction to ONNX1m 25s
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ONNX conversions2m 5s
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Extending Google Bard4m 22s
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Exploring Google Colab with Bard4m 22s
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Exploring the Colab AI4m 56s
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Exploring the Google Cloud Generative AI App Builder2m 29s
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AWS Bedrock for responsible AI4m 39s
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AWS Bedrock with Claude7m 20s
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Summarizing text with Claude5m 28s
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Using the AWS Bedrock API1m 39s
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