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 To create an EKS Cluster using the `eksctl` command in Windows 11, you need to install the `eksctl` software. Follow these steps to install `eksctl`: 1. **Install `eksctl`:**    - Open your preferred terminal (Command Prompt, PowerShell, or Windows Terminal).    - Download the `eksctl` binary by running the following command:      ```powershell      Invoke-WebRequest -Uri "https://github.com/weaveworks/eksctl/releases/latest/download/eksctl_windows_amd64.zip" -OutFile "eksctl.zip"      ```    - Extract the downloaded zip file:      ```powershell      Expand-Archive -Path "eksctl.zip" -DestinationPath "$HOME\.eksctl"      ```    - Add the `eksctl` binary to your PATH:      ```powershell      $env:Path += ";$HOME\.eksctl"      ```    Alternatively, you can manually download the `eksctl` binary from th...

 ### AI Skills \ #### Binary Classification Algorithms - **Naive Bayes**: This algorithm guesses the class of data based on probabilities. - **Logistic Regression**: It predicts if something belongs to a category or not, like yes or no. - **K-Nearest Neighbors (KNN)**: It classifies data by looking at the closest examples in the dataset. - **Support Vector Machine (SVM)**: It finds the best line that separates different classes of data. - **Decision Tree**: It makes decisions by splitting data into branches based on features. - **Random Forest**: It uses many decision trees to make more accurate predictions. - **Neural Network (Deep Learning)**: It mimics the human brain to learn from data and make predictions. #### Unsupervised Machine Learning Algorithms - **K-means Clustering**: It groups similar data points into clusters. - **PCA (Principal Component Analysis)**: It reduces the number of features in data while keeping important information. - **CNN (Convolutional Neural Network...

 ### IT Job Interview Dialogue between Deniz and Timothy **Scene: Timothy arrives at the company for his scheduled interview. He approaches the reception desk where a receptionist is seated.** **Receptionist**: Good morning! How can I help you today? **Timothy**: Good morning. I have an interview scheduled at 11 o'clock with Deniz. **Receptionist**: Alright, let me check the schedule. Could I have your name, please? **Timothy**: It's Timothy. **Receptionist**: Okay, Timothy. I see your appointment here. Deniz should be with you shortly. Please have a seat in the waiting area. **Timothy**: Thank you. By the way, do I need to complete any programming tests before the interview? **Receptionist**: Let me check with Deniz on that. Please wait for a moment. **Timothy**: Sure, thank you. *After a few minutes, Deniz walks into the reception area.* **Deniz**: Hi Timothy, nice to meet you. I’m Deniz. Shall we head to the meeting room? **Timothy**: Nice to meet you too, Deniz. Sure, let...

 To enhance embedding in your Retrieval-Augmented Generation (RAG) application based on the "Python RAG Tutorial.txt" notes, follow these steps in simple English: 1. **Use High-Quality Embeddings**:    - Choose high-quality embeddings to ensure accurate matching between your queries and the relevant data chunks. Consider using services like OpenAI or AWS Bedrock, as they provide reliable embeddings. 2. **Consistent Embedding Function**:    - Use the same embedding function for both creating the database and querying it. This ensures consistency and better performance. 3. **Manage Large Documents**:    - Split large documents into smaller chunks. Use tools like Langchain's recursive text splitter. Smaller chunks improve indexing and retrieval accuracy. 4. **Update the Vector Database**:    - Add a unique ID to each data chunk. Use the file path, page number, and chunk number to create these IDs. This helps in updating the database without dupl...

 Rising Sun Pictures logo https://www.linkedin.com/jobs/view/3973485800/?trackingId=Jv3RxbIDkTnOLxqnZMxmjA%3D%3D&refId=ByteString%28length%3D16%2Cbytes%3D8f469f3a...1a06a6f1%29&midToken=AQGEkH-N3hVVmA&midSig=2Lujdp9Y-xErk1&trk=eml-email_job_alert_digest_01-job_card-0-jobcard_body&trkEmail=eml-email_job_alert_digest_01-job_card-0-jobcard_body-null-9zte41~lyjhnjtl~8i-null-null&eid=9zte41-lyjhnjtl-8i&otpToken=MTQwNTFhZTMxNzJkY2RjMWIzMjQwNGVkNDQxZWVmYjc4OWNiZDg0OTlhYWU4NjYxNzdjNjA5NmQ0ZDUyNTVmNWY2ZDNkZmE3NDdlOWU2ZGY2N2Y5ZWYyODJmZmZlMmM1MmEzNTU1YmM2YWM0MzZiNDJlMzg2ZSwxLDE%3D Rising Sun Pictures Machine Learning Developers Adelaide, South Australia, Australia · 1 week ago · 32 applicants ContractMatches your job preferences, job type is Contract. 201-500 employees · Movies and Sound Recording 25 school alumni work here 8 of 10 skills match your profile - you may be a good fit See how you compare to 32 applicants. Try Premium for A$0 No longer accepting applica...

 Looking for remote developers (full time or part time) to join a team experienced in below tech stack in a very promising startup: Front: Tailwind, Next.js (TypeScript), Relay, Material UI Back: Go, Ent Framework, GraphQL Database: PostgreSQL Hosting on AWS Please reach out if you're a good fit or share it with someone you would recommend.

  幾星期前， AI 界的焦點曾落於 “Devin AI” 之上 ，它被喻為首個最有能力，貼近人類 Software Engineer 多元能力的 AI 工具， 大概就係講出開發的主題和核心需求，然後 AI agent 就會分工進行不同崗位（包括設計功能、環境設置、編程、測試及修正、撰寫文檔）的工作，自行合作去完成編程任務。 誰知過咗幾日後，GitHub 上就出現了 Open Devin （免費開源版本）， 用類似的 UX框架，配合不同自定義的LLM ，也可以進行編程任務了。 如果有興趣試玩用的朋友留意， 由於 Open Devin 仍然好新，所以， 代碼仍然不停被社群更新，安裝的方法也在變化中，令好多網上的教學都 out date 了。 如果你用 Linux 或者 Mac 會容易一些， 如果用 Windows 下安裝，暫時仍十分複雜 （我都係撞下撞下咁裝到 ，主要涉及幾方面的問題要解決： 1/ UTF-8 問題 （讀寫logs檔會出錯) 2/ frontend 與 backend 的 Port 不懂自動相連，要按個別的網絡設置環境去調節 3/ 有些預設的 dependency 無法安裝，因不支援 Windows 環境 （e.g: vuloop) 4/ 需要 docker , WSL , Conda 設置 5/ 用’make’ 方式來 build , 和 run ， 所以在 windows 下要用 Chocolatey 去安裝。） 裝完之後， 設置設工作目錄和所用的 openAI API Key ， 透過 browser 就可以用到。我簡單地試咗， 叫佢用 python 寫個「人 vs 電腦的Tic Tac Toe 遊戲」 ， 佢大概用了HK$2-3 蚊的 token 成本 gpt-4-turbo-preview 就寫了出來， 執行起來， 冇 bug 這的確有點驚喜， 至於複雜的開發任務，我等 open devin 再更新到更穩定的版本時會再試。 https://github.com/OpenDevin/OpenDevin