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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

前往频道在 Telegram

🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

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📈 Telegram 频道 Artificial Intelligence & ChatGPT Prompts 的分析概览

频道 Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 42 145 名订阅者,在 技术与应用 类别中位列第 3 234,并在 印度 地区排名第 9 514

📊 受众指标与增长动态

невідомо 创建以来,项目保持高速增长,吸引了 42 145 名订阅者。

根据 15 六月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 189,过去 24 小时变化为 4,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 2.20%。内容发布后 24 小时内通常能获得 0.71% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 927 次浏览,首日通常累积 298 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 3
  • 主题关注点: 内容集中在 learning, algorithm, detection, llm, pattern 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
🔓Unlock Your Coding Potential with ChatGPT 🚀 Your Ultimate Guide to Ace Coding Interviews! 💻 Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

凭借高频更新(最新数据采集于 16 六月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 技术与应用 类别中的关键影响点。

42 145
订阅者
+424 小时
+487
+18930
帖子存档
4. Initialize Together AI clients. • Sets up Together API key as an environment variable • Initializes both synchronous and a
4. Initialize Together AI clients. • Sets up Together API key as an environment variable • Initializes both synchronous and asynchronous Together clients

3. Set up the Streamlit app and API key input. • Creates a title for the app • Adds a secure input field for the Together API
3. Set up the Streamlit app and API key input. • Creates a title for the app • Adds a secure input field for the Together API key

2. Import necessary libraries • Streamlit for the web interface • asyncio for asynchronous operations • Together AI for LLM i
2. Import necessary libraries • Streamlit for the web interface • asyncio for asynchronous operations • Together AI for LLM interactions

1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:
1. Install the necessary Python Libraries Run the following commands from your terminal to install the required libraries:

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Keyboard shortcuts for Telegram Desktop ⌨️ Action : Command • Move to next chat : Ctrl + Tab • Move to next chat : Ctrl + PageDown • Move to next chat : Alt + Arrow Down • Move to previous chat : Ctrl + Shift + Tab • Move to previous chat : Ctrl + PageUp • Move to previous chat : Alt + Arrow Up • Go to Previous Folder : Ctrl + Shift + Arrow Up • Go to Next Folder : Ctrl + Shift + Arrow Down • Search selected chat : Ctrl + F • Exit selected chat and search Telegram : Esc • Exit display of current chat/channel   : Esc • Delete currently selected message : Delete • Quit Telegram : Ctrl + Q • Lock Telegram (if Local Password is set) : Ctrl + L • Iconify (Minimize) Telegram : Ctrl + M • Iconify (Minimize) Telegram to System Tray : Ctrl + W • Edit Previous Message : Arrow Up • Start New Line in Input Area : Ctrl + Enter or Shift + Enter • Move Cursor to Start of Multi-line Message : Ctrl + Home • Make Text Italic : Ctrl + I • Make Text Bold : Ctrl + B • Make Text Underline : Ctrl + U Make Text Striketrough : Ctrl + Shift + X • Make Text Monospace : Ctrl + Shift + M • Remove Text Formatting (Make Selection Plain Text) : Ctrl + Shift + N • PH4N745M • Add URL to Selected Text (Make Link) : Ctrl + K • Send File : Ctrl + O • Open Contacts : Ctrl + J • Fast Scroll : Scroll with Ctrl or Shift pressed. • Reply in another chat : Ctrl+Click on Reply in the menu. • Jump to a message from the reply panel : Ctrl + LMB. • Open conversation in a separate tab : Ctrl + click. • Jump between Folders :  Ctrl + 1,2,3... #Desktop #Shortcuts #Tips

List of top 10 hard skills: 1. Cloud Computing 2. Data Analysis 3. Digital Marketing 4. Cybersecurity 5. Artificial Intelligence (AI) and Machine Learning (ML) 6. Web Development 7. Database Management 8. Networking 9. Software Development 10. Graphic Design

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Data Science Essentials in Python.pdf5.01 MB

Preparing for a data science interview can be challenging, but with the right approach, you can increase your chances of success. Here are some tips to help you prepare for your next data science interview: 👉 1. Review the Fundamentals: Make sure you have a thorough understanding of the fundamentals of statistics, probability, and linear algebra. You should also be familiar with data structures, algorithms, and programming languages like Python, R, and SQL. 👉 2. Brush up on Machine Learning: Machine learning is a key aspect of data science. Make sure you have a solid understanding of different types of machine learning algorithms like supervised, unsupervised, and reinforcement learning. 👉 3. Practice Coding: Practice coding questions related to data structures, algorithms, and data science problems. You can use online resources like HackerRank, LeetCode, and Kaggle to practice. 👉 4. Build a Portfolio: Create a portfolio of projects that demonstrate your data science skills. This can include data cleaning, data wrangling, exploratory data analysis, and machine learning projects. 👉 5. Practice Communication: Data scientists are expected to effectively communicate complex technical concepts to non-technical stakeholders. Practice explaining your projects and technical concepts in simple terms. 👉 6. Research the Company: Research the company you are interviewing with and their industry. Understand how they use data and what data science problems they are trying to solve. Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624 ENJOY LEARNING 👍👍

Complete Roadmap to learn SQL in 2024 👇👇 1. Basic Concepts - Understand databases and SQL. - Learn data types (INT, VARCHAR, DATE, etc.). 2. Basic Queries - SELECT: Retrieve data. - WHERE: Filter results. - ORDER BY: Sort results. - LIMIT: Restrict results. 3. Aggregate Functions - COUNT, SUM, AVG, MAX, MIN. - Use GROUP BY to group results. 4. Joins - INNER JOIN: Combine rows from two tables based on a condition. - LEFT JOIN: Include all rows from the left table. - RIGHT JOIN: Include all rows from the right table. - FULL OUTER JOIN: Include all rows from both tables. 5. Subqueries - Use nested queries for complex data retrieval. 6. Data Manipulation - INSERT: Add new records. - UPDATE: Modify existing records. - DELETE: Remove records. 7. Schema Management - CREATE TABLE: Define new tables. - ALTER TABLE: Modify existing tables. - DROP TABLE: Remove tables. 8. Indexes - Understand how to create and use indexes to optimize queries. 9. Views - Create and manage views for simplified data access. 10. Transactions - Learn about COMMIT and ROLLBACK for data integrity. 11. Advanced Topics - Stored Procedures: Automate complex tasks. - Triggers: Execute actions automatically based on events. - Normalization: Understand database design principles. 12. Practice - Use platforms like LeetCode, HackerRank, or learnsql for hands-on practice. Here are some free resources to learn  & practice SQL 👇👇 Udacity free course- https://imp.i115008.net/AoAg7K SQL For Data Analysis: https://t.me/sqlanalyst For Practice- https://stratascratch.com/?via=free SQL Learning Series: https://t.me/sqlspecialist/567 Top 10 SQL Projects with Datasets: https://t.me/DataPortfolio/16 Join for more free resources: https://t.me/free4unow_backup ENJOY LEARNING 👍👍

Confused about which field to dive into—Front-End Development (FE), Back-End Development (BE), Machine Learning (ML), or Blockchain? Here's a concise breakdown of each, designed to clarify your options: ### Front-End Development (FE) Key Skills: - HTML/CSS: Fundamental for creating the structure and style of web pages. - JavaScript: Essential for adding interactivity and functionality to websites. - Frameworks/Libraries: React, Angular, or Vue.js for efficient and scalable front-end development. - Responsive Design: Ensuring websites look good on all devices. - Version Control: Git for managing code changes and collaboration. Career Prospects: - Web Developer - UI/UX Designer - Front-End Engineer ### Back-End Development (BE) Key Skills: - Programming Languages: Python, Java, Ruby, Node.js, or PHP for server-side logic. - Databases: SQL (MySQL, PostgreSQL) and NoSQL (MongoDB) for data management. - APIs: RESTful and GraphQL for communication between front-end and back-end. - Server Management: Understanding of server, network, and hosting environments. - Security: Knowledge of authentication, authorization, and data protection. Career Prospects: - Back-End Developer - Full-Stack Developer - Database Administrator ### Machine Learning (ML) Key Skills: - Programming Languages: Python and R are widely used in ML. - Mathematics: Statistics, linear algebra, and calculus for understanding ML algorithms. - Libraries/Frameworks: TensorFlow, PyTorch, Scikit-Learn for building ML models. - Data Handling: Pandas, NumPy for data manipulation and preprocessing. - Model Evaluation: Techniques for assessing model performance. Career Prospects: - Data Scientist - Machine Learning Engineer - AI Researcher ### Blockchain Key Skills: - Cryptography: Understanding of encryption and security principles. - Blockchain Platforms: Ethereum, Hyperledger, Binance Smart Chain for building decentralized applications. - Smart Contracts: Solidity for developing smart contracts. - Distributed Systems: Knowledge of peer-to-peer networks and consensus algorithms. - Blockchain Tools: Truffle, Ganache, Metamask for development and testing. Career Prospects: - Blockchain Developer - Smart Contract Developer - Crypto Analyst ### Decision Criteria 1. Interest: Choose an area you are genuinely interested in. 2. Market Demand: Research the current job market to see which skills are in demand. 3. Career Goals: Consider your long-term career aspirations. 4. Learning Curve: Assess how much time and effort you can dedicate to learning new skills. Each field offers unique opportunities and challenges, so weigh your options carefully based on your personal preferences and career objectives. Here are some telegram channels to help you build your career 👇 Web Development https://t.me/webdevcoursefree Jobs & Internships https://t.me/getjobss Blockchain https://t.me/Bitcoin_Crypto_Web Machine Learning https://t.me/datasciencefun Artificial Intelligence https://t.me/machinelearning_deeplearning Join @free4unow_backup for more free resources. ENJOY LEARNING 👍👍

Join @pythony Telegram channel for all your programming needs! Get access to a wealth of resources, materials, and tips to he
Join @pythony Telegram channel for all your programming needs! Get access to a wealth of resources, materials, and tips to help you become a coding expert! 😍😎💪🏻

Coding is just like the language we use to talk to computers. It's not the skill itself, but rather how do I innovate? How do I build something interesting for my end users? In a recently leaked recording, AWS CEO told employees that most developers could stop coding once AI takes over, predicting this is likely to happen within 24 months. Instead of AI replacing developers or expecting a decline in this role, I believe he meant that responsibilities of software developers would be changed significantly by AI. Being a developer in 2025 may be different from what it was in 2020, Garman, the CEO added. Meanwhile, Amazon's AI assistant has saved the company $260M & 4,500 developer years of work by remarkably cutting down software upgrade times. Amazon CEO also confirmed that developers shipped 79% of AI-generated code reviews without changes. I guess with all the uncertainty, one thing is clear: Ability to quickly adjust and collaborate with AI will be important soft skills more than ever in the of AI.

Do these settings🚨🚨
Do these settings🚨🚨

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⌨️ HTML Lists Knick Knacks Here is a list of fun things you can do with lists in HTML 😁
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⌨️ HTML Lists Knick Knacks Here is a list of fun things you can do with lists in HTML 😁