70 TOUGHTEST INTERVIEW QUE AND ANS HARRY.pdf
473.4 KB
70 TOUGHTEST INTERVIEW QUESTIONS AND ANSWERS ❤️
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Animated Login Page Code
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API Full Course.pdf
2 MB
API FULL COURSE PDF 📚
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Thanks For Joining All ❤️🙏
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cheatsheet-fetch.pdf
4.2 MB
Cheatsheet Fetch APIs Methods 👍
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Which keyword is used to define a function in Python? 👋
Anonymous Quiz
73%
def
18%
function
6%
fun
3%
lambda
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Password Animation 🔒
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slides-NPTEL-BlockchainTechnologyApplications.pdf
16.7 MB
Blockchain Technology Applications 🚀
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Guide to Building an AI Agent
1️⃣ 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗟𝗠
Not all LLMs are equal. Pick one that:
- Excels in reasoning benchmarks
- Supports chain-of-thought (CoT) prompting
- Delivers consistent responses
📌 Tip: Experiment with models & fine-tune prompts to enhance reasoning.
2️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗼𝗴𝗶𝗰
Your agent needs a strategy:
- Tool Use: Call tools when needed; otherwise, respond directly.
- Basic Reflection: Generate, critique, and refine responses.
- ReAct: Plan, execute, observe, and iterate.
- Plan-then-Execute: Outline all steps first, then execute.
📌 Choosing the right approach improves reasoning & reliability.
3️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗖𝗼𝗿𝗲 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀
Set operational rules:
- How to handle unclear queries? (Ask clarifying questions)
- When to use external tools?
- Formatting rules? (Markdown, JSON, etc.)
- Interaction style?
📌 Clear system prompts shape agent behavior.
4️⃣ 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆
LLMs forget past interactions. Memory strategies:
- Sliding Window: Retain recent turns, discard old ones.
- Summarized Memory: Condense key points for recall.
- Long-Term Memory: Store user preferences for personalization.
📌 Example: A financial AI recalls risk tolerance from past chats.
5️⃣ 𝗘𝗾𝘂𝗶𝗽 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗧𝗼𝗼𝗹𝘀 & 𝗔𝗣𝗜𝘀
Extend capabilities with external tools:
- Name: Clear, intuitive (e.g., "StockPriceRetriever")
- Description: What does it do?
- Schemas: Define input/output formats
- Error Handling: How to manage failures?
📌 Example: A support AI retrieves order details via CRM API.
6️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗥𝗼𝗹𝗲 & 𝗞𝗲𝘆 𝗧𝗮𝘀𝗸𝘀
Narrowly defined agents perform better. Clarify:
- Mission: (e.g., "I analyze datasets for insights.")
- Key Tasks: (Summarizing, visualizing, analyzing)
- Limitations: ("I don’t offer legal advice.")
📌 Example: A financial AI focuses on finance, not general knowledge.
7️⃣ 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗥𝗮𝘄 𝗟𝗟𝗠 𝗢𝘂𝘁𝗽𝘂𝘁𝘀
Post-process responses for structure & accuracy:
- Convert AI output to structured formats (JSON, tables)
- Validate correctness before user delivery
- Ensure correct tool execution
📌 Example: A financial AI converts extracted data into JSON.
8️⃣ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗼 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱)
For complex workflows:
- Info Sharing: What context is passed between agents?
- Error Handling: What if one agent fails?
- State Management: How to pause/resume tasks?
📌 Example:
1️⃣ One agent fetches data
2️⃣ Another summarizes
3️⃣ A third generates a report
Master the fundamentals, experiment, and refine and.. now go build something amazing!
1️⃣ 𝗖𝗵𝗼𝗼𝘀𝗲 𝘁𝗵𝗲 𝗥𝗶𝗴𝗵𝘁 𝗟𝗟𝗠
Not all LLMs are equal. Pick one that:
- Excels in reasoning benchmarks
- Supports chain-of-thought (CoT) prompting
- Delivers consistent responses
📌 Tip: Experiment with models & fine-tune prompts to enhance reasoning.
2️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗟𝗼𝗴𝗶𝗰
Your agent needs a strategy:
- Tool Use: Call tools when needed; otherwise, respond directly.
- Basic Reflection: Generate, critique, and refine responses.
- ReAct: Plan, execute, observe, and iterate.
- Plan-then-Execute: Outline all steps first, then execute.
📌 Choosing the right approach improves reasoning & reliability.
3️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝗖𝗼𝗿𝗲 𝗜𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻𝘀 & 𝗙𝗲𝗮𝘁𝘂𝗿𝗲𝘀
Set operational rules:
- How to handle unclear queries? (Ask clarifying questions)
- When to use external tools?
- Formatting rules? (Markdown, JSON, etc.)
- Interaction style?
📌 Clear system prompts shape agent behavior.
4️⃣ 𝗜𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁 𝗮 𝗠𝗲𝗺𝗼𝗿𝘆 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆
LLMs forget past interactions. Memory strategies:
- Sliding Window: Retain recent turns, discard old ones.
- Summarized Memory: Condense key points for recall.
- Long-Term Memory: Store user preferences for personalization.
📌 Example: A financial AI recalls risk tolerance from past chats.
5️⃣ 𝗘𝗾𝘂𝗶𝗽 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁 𝘄𝗶𝘁𝗵 𝗧𝗼𝗼𝗹𝘀 & 𝗔𝗣𝗜𝘀
Extend capabilities with external tools:
- Name: Clear, intuitive (e.g., "StockPriceRetriever")
- Description: What does it do?
- Schemas: Define input/output formats
- Error Handling: How to manage failures?
📌 Example: A support AI retrieves order details via CRM API.
6️⃣ 𝗗𝗲𝗳𝗶𝗻𝗲 𝘁𝗵𝗲 𝗔𝗴𝗲𝗻𝘁’𝘀 𝗥𝗼𝗹𝗲 & 𝗞𝗲𝘆 𝗧𝗮𝘀𝗸𝘀
Narrowly defined agents perform better. Clarify:
- Mission: (e.g., "I analyze datasets for insights.")
- Key Tasks: (Summarizing, visualizing, analyzing)
- Limitations: ("I don’t offer legal advice.")
📌 Example: A financial AI focuses on finance, not general knowledge.
7️⃣ 𝗛𝗮𝗻𝗱𝗹𝗶𝗻𝗴 𝗥𝗮𝘄 𝗟𝗟𝗠 𝗢𝘂𝘁𝗽𝘂𝘁𝘀
Post-process responses for structure & accuracy:
- Convert AI output to structured formats (JSON, tables)
- Validate correctness before user delivery
- Ensure correct tool execution
📌 Example: A financial AI converts extracted data into JSON.
8️⃣ 𝗦𝗰𝗮𝗹𝗶𝗻𝗴 𝘁𝗼 𝗠𝘂𝗹𝘁𝗶-𝗔𝗴𝗲𝗻𝘁 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 (𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱)
For complex workflows:
- Info Sharing: What context is passed between agents?
- Error Handling: What if one agent fails?
- State Management: How to pause/resume tasks?
📌 Example:
1️⃣ One agent fetches data
2️⃣ Another summarizes
3️⃣ A third generates a report
Master the fundamentals, experiment, and refine and.. now go build something amazing!
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JS Interview QA Post.pdf
6.2 MB
React ❤️ for more 🚀
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Rip ChatGPT!
Comment "chat" on the instagram post and we'll send you the link!
ChatLLM from Abacus is the all-in-one super AI assistant for professionals—get access to top LLMs like GPT-4o, Claude, Llama-3, and more, all in one place.
More key features of ChatLLM:
→ Chat and analyze any PDF
→ Web and Image Generation
→ Create personalized chatbots with ChatLLM teams
→ Humanize your text
→ Generate interactive and editable outputs
→ Chat with Docs
→ Execute code, analyze data, and draw plots
→ Refer and Earn Rewards
ChatLLM offers a more cost-effective solution compared to purchasing each LLM individually.
Comment "chat" on the instagram post and we'll send you the link!
ChatLLM from Abacus is the all-in-one super AI assistant for professionals—get access to top LLMs like GPT-4o, Claude, Llama-3, and more, all in one place.
More key features of ChatLLM:
→ Chat and analyze any PDF
→ Web and Image Generation
→ Create personalized chatbots with ChatLLM teams
→ Humanize your text
→ Generate interactive and editable outputs
→ Chat with Docs
→ Execute code, analyze data, and draw plots
→ Refer and Earn Rewards
ChatLLM offers a more cost-effective solution compared to purchasing each LLM individually.
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1. 📚 Begin with Basics:
- Start with the essentials: Learn HTML
2. 🖼️ Front-End Development:
- Dive into front-end magic with a JavaScript framework like React ⚛️, Angular 🅰️, or Vue.js 🖖. Craft beautiful user interfaces.
3.
- Venture into the server-side realm by picking a language (e.g., Node.js
4. 🗄️ Databases and Data Management:
- Explore the world of databases (MySQL 🐬, PostgreSQL 🐘, MongoDB
5.
- Unite your powers! Combine front-end and back-end skills to create full-fledged web applications
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Operating System Handwritten Notes.pdf
44.3 MB
Operating System Handwritten Notes 🤩
React ❤️ for more🚀
React ❤️ for more
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15+ Must Watch Movies for Programmers🧑💻🤖
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
Happy Coding ♥️
1. The Matrix
2. The Social Network
3. Source Code
4. The Imitation Game
5. Silicon Valley
6. Mr. Robot
7. Jobs
8. The Founder
9. The Social Dilemma
10. The Great Hack
11. Halt and Catch Fire
12. Wargames
13. Hackers
14. Snowden
15. Who Am I
Happy Coding ♥️
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🚀 7 Steps to Master Frontend Development:
🔰 🔰 🔰
1. Lay Your Foundation:
Start with HTML, CSS, and JavaScript—the essential building blocks of the web.
2. Responsive Design:✍️
Master Flexbox, CSS Grid, and mobile-first design to ensure your sites look great on any device.
3. Modern Frameworks:
Dive into dynamic UI libraries like React ⚛️, Angular 🅰️, or Vue.js 🖖 for interactive experiences.
4. CSS Enhancements:🔰
Explore preprocessors like Sass/SCSS and frameworks like Tailwind CSS for efficient and scalable styling.
5. Tooling & Workflow:⛏
Get comfortable with Git for version control and bundlers like Webpack to streamline your development process.
6. Performance & Accessibility:🚀
Optimize loading times and ensure your websites are accessible to all users.
7. Practice & Portfolio:💡
Build projects, experiment with new techniques, and showcase your skills in a personal portfolio.
Ready to create amazing web experiences? Start coding today!
1. Lay Your Foundation:
Start with HTML, CSS, and JavaScript—the essential building blocks of the web.
2. Responsive Design:
Master Flexbox, CSS Grid, and mobile-first design to ensure your sites look great on any device.
3. Modern Frameworks:
Dive into dynamic UI libraries like React ⚛️, Angular 🅰️, or Vue.js 🖖 for interactive experiences.
4. CSS Enhancements:
Explore preprocessors like Sass/SCSS and frameworks like Tailwind CSS for efficient and scalable styling.
5. Tooling & Workflow:
Get comfortable with Git for version control and bundlers like Webpack to streamline your development process.
6. Performance & Accessibility:
Optimize loading times and ensure your websites are accessible to all users.
7. Practice & Portfolio:
Build projects, experiment with new techniques, and showcase your skills in a personal portfolio.
Ready to create amazing web experiences? Start coding today!
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If you could remove one thing from coding forever, what would it be?🤡
Anonymous Poll
48%
10%
17%
9%
16%
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80 Python Interview Questions.pdf
410.4 KB
- Covers frequently asked questions in Python interviews
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Rock Paper Scissors ✂️
👇Code available via the Get Code button below 👇
the_coding_wizard🤩 #Wizard_Projects
👇Code available via the Get Code button below 👇
the_coding_wizard🤩 #Wizard_Projects
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