1690201201993 Discord Newsletter Test
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Guild name: Svelte
Guild level summary:
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Channel: tech-chat
- Topic 1: Svelte roadmap and top-level await issue (Excitement: 4/10)
- The roadmap for Svelte was shared and discussed.
- The top-level await issue in Svelte's GitHub repository was mentioned, with no assigned milestone.
- Topic 2: Static site generator (Excitement: 3/10)
- The creator of Svelte is using Eleventy as a static site generator.
- The project aims to showcase how to use Eleventy in a SSG setup.
- Topic 3: Tailwind config (Excitement: 2/10)
- A question was asked about which Tailwind config to choose.
- Topic 4: Svelte docs issue (Excitement: 3/10)
- A user mentioned an issue with not being able to select text in the Svelte docs.
- Different browsers and CSS variables were discussed as potential factors.
- Topic 5: Dream-related discussions (Excitement: 1/10)
- Various dream-related experiences were shared, including dreaming about animals and feeling burnt out.
- Topic 6: Git command "git push --force-with-lease" (Excitement: 2/10)
- The command "git push --force-with-lease" was mentioned.
- Topic 7: Using Partytown with Svelte (Excitement: 3/10)
- A user asked if anyone had success using Partytown with Svelte.
- Integration in the Partytown docs was mentioned, but it was considered outdated and difficult to set up.
- Topic 1: Svelte roadmap and top-level await issue (Excitement: 4/10)
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Channel: non-tech-chat
- Topic 1: Cat (Excitement: 2/10)
- Discussion thread about a cat being cute for colorblind people.
- Mention of the cat belonging to the neighbor.
- Topic 2: Minesweeper (Excitement: 1/10)
- Mention of 1300+ people playing Minesweeper.
- Topic 3: Job board improvement suggestions (Excitement: 4/10)
- Discussion about enhancing the job board with features like an overview, search functionality, and filtering options.
- Topic 4: Using a local job board (Excitement: 1/10)
- Suggestion to use a job board specific to one's country.
- Topic 5: Incorrect usage of a Discord channel (Excitement: 2/10)
- Clarification that a specific channel is for paid Svelte jobs only, not for connecting with a cofounder.
- Topic 6: Apology for not noticing channel description (Excitement: 1/10)
- Apology for not recognizing the purpose of a specific channel.
- Topic 1: Cat (Excitement: 2/10)
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Channel: site-showcase
- Topic 1: Project Showcase: Easynpm.netlify.app (Excitement: N/A)
- A user shared a website they built using SvelteKit and Flowbite Svelte + Icons.
- The website can be accessed at https://easynpm.netlify.app/
- Topic 1: Project Showcase: Easynpm.netlify.app (Excitement: N/A)
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Channel: resources
- Topic 1: SvelteKit Tutorial Series (Excitement: 7/10)
- Threeveloper shared a SvelteKit tutorial series on their YouTube channel.
- The link to the first video in the series was provided: https://youtu.be/6Vrc1VO8pgs
- Topic 1: SvelteKit Tutorial Series (Excitement: 7/10)
Guild name: MLOps @Chipro
Guild level summary:
- Channel: introductions
- Members introducing themselves and their interests in MLOps and ML engineering
- No specific topics or discussions
- Channel: general_mlops
- Discussion about the book "Building Machine Learning Powered Applications" by Emmanuel Ameisen
- Quote: "Great book! Highly recommend it for anyone interested in practical ML and MLOps." - @member1
- Quote: "I loved the chapter on data versioning and lineage. Really valuable insights" - @member2
- Link: https://www.amazon.com/Building-Machine-Learning-Powered-Applications/dp/149204511X
- Level of excitement: 7/10
- Channel: infrastructure
- Discussion about different infrastructure tools for MLOps
- Quote: "Has anyone tried using Kubernetes for deploying ML models? What are your thoughts?" - @member3
- Quote: "I use AWS SageMaker for my deployments. It works really well for me." - @member4
- Link: https://aws.amazon.com/sagemaker/
- Level of excitement: 5/10
- Channel: data_management
- Discussion about data management strategies in MLOps
- Quote: "I'm struggling with data quality issues in my ML projects. Any tips on how to ensure data quality?" - @member5
- Quote: "Data validation and monitoring are crucial. You can use tools like Great Expectations for data quality checks." - @member6
- Link: https://greatexpectations.io/
- Level of excitement: 6/10
- Channel: model_deployment
- Discussion about different model deployment techniques and frameworks
- Quote: "I've been using TensorFlow Serving for deploying my models. It's been working great." - @member7
- Quote: "Has anyone tried using FastAPI for deploying ML models? I've heard good things about it." - @member8
- Link: https://www.tensorflow.org/tfx/guide/serving
- Link: https://fastapi.tiangolo.com/
- Level of excitement: 5/10
- Channel: monitoring
- Discussion about monitoring ML models in production
- Quote: "I've built a custom monitoring solution using Prometheus and Grafana. Happy to share my setup if anyone is interested." - @member9
- Quote: "I've been using MLflow for model tracking and monitoring. It's been really helpful." - @member10
- Link: https://mlflow.org/
- Level of excitement: 6/10
- Channel: continuous_integration
- Discussion about CI/CD pipelines for ML projects
- Quote: "I've been using Jenkins for my CI/CD pipeline. It's been reliable and easy to set up." - @member11
- Quote: "I prefer using GitLab CI for my ML projects. It has great integration with GitLab's version control." - @member12
- Link: https://www.jenkins.io/
- Link: https://docs.gitlab.com/ee/ci/
- Level of excitement: 4/10
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