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Artificial Intelligence & ChatGPT Prompts

Artificial Intelligence & ChatGPT Prompts

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๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_data

Ko'proq ko'rsatish

๐Ÿ“ˆ Telegram kanali Artificial Intelligence & ChatGPT Prompts analitikasi

Artificial Intelligence & ChatGPT Prompts (@curiousprogrammer) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 42 123 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 3 229-o'rinni va Hindiston mintaqasida 9 545-o'rinni egallagan.

๐Ÿ“Š Auditoriya koโ€˜rsatkichlari va dinamika

ะฝะตะฒั–ะดะพะผะพ sanasidan buyon loyiha tez oโ€˜sib, 42 123 obunachiga ega boโ€˜ldi.

12 Iyun, 2026 dagi oxirgi maโ€™lumotlarga koโ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 175 ga, soโ€˜nggi 24 soatda esa 12 ga oโ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
  • Jalb etish (ER): Auditoriya oโ€˜rtacha 2.43% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.73% ini tashkil etuvchi reaksiyalarni toโ€˜playdi.
  • Post qamrovi: Har bir post oโ€˜rtacha 1 024 marta koโ€˜riladi; birinchi sutkada odatda 306 ta koโ€˜rish yigโ€˜iladi.
  • Reaksiyalar va oโ€˜zaro taโ€™sir: Auditoriya faol: har bir postga oโ€˜rtacha 3 ta reaksiya keladi.
  • Tematik yoโ€˜nalishlar: Kontent learning, algorithm, detection, llm, pattern kabi asosiy mavzularga jamlangan.

๐Ÿ“ Tavsif va kontent siyosati

Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida taโ€™riflaydi:
โ€œ๐Ÿ”“Unlock Your Coding Potential with ChatGPT ๐Ÿš€ Your Ultimate Guide to Ace Coding Interviews! ๐Ÿ’ป Coding tips, practice questions, and expert advice to land your dream tech job. For Promotions: @love_dataโ€

Yuqori yangilanish chastotasi (oxirgi maโ€™lumot 13 Iyun, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boโ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim taโ€™sir nuqtasiga aylantirishini koโ€˜rsatadi.

42 123
Obunachilar
+1224 soatlar
+227 kunlar
+17530 kunlar
Postlar arxiv
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐˜๐—ต๐—ฒ ๐— ๐—ผ๐˜€๐˜ ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐Ÿ˜ ๐Ÿš€ Want to future-proof
๐Ÿฒ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐˜๐—ต๐—ฒ ๐— ๐—ผ๐˜€๐˜ ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€๐Ÿ˜ ๐Ÿš€ Want to future-proof your career without spending a single rupee?๐Ÿ’ต These 6 free online courses from top institutions like Google, Harvard, IBM, Stanford, and Cisco will help you master high-demand tech skills in 2025 โ€” from Data Analytics to Machine Learning๐Ÿ“Š๐Ÿง‘โ€๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4fbDejW Each course is beginner-friendly, comes with certification, and helps you build your resume or switch careersโœ…๏ธ

๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐—”๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎ ๐Ÿ˜ Multiple top MNCs are hiring for various roles across domai
๐—ง๐—ผ๐—ฝ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€ ๐—›๐—ถ๐—ฟ๐—ถ๐—ป๐—ด ๐—”๐—ฐ๐—ฟ๐—ผ๐˜€๐˜€ ๐—œ๐—ป๐—ฑ๐—ถ๐—ฎ ๐Ÿ˜ Multiple top MNCs are hiring for various roles across domains! ๐Ÿ”น Roles: Tech & Non-Tech ๐Ÿ”น Location: PAN India ๐Ÿ”น Qualification: Graduate / Post Graduate ๐Ÿ”น Salary: Competitive Packages ๐—”๐—ฝ๐—ฝ๐—น๐˜† ๐—ก๐—ผ๐˜„๐Ÿ‘‡:- https://bit.ly/4f5VAmj Select your experience & Complete The Registration Process  Select the company name & apply for the role that matches you

JOINS Definition Joins in MySQL allow you to retrieve data from two or more tables based on a related column. They are used to combine rows from multiple tables. Types of Joins 1. INNER JOIN: - Returns rows where there is a match in both tables. - Syntax:
            SELECT columns
            FROM table1
            INNER JOIN table2
            ON table1.column = table2.column;
            
- Example:
            SELECT employees.name, departments.name
            FROM employees
            INNER JOIN departments
            ON employees.department_id = departments.id;
            
2. LEFT JOIN (OUTER JOIN): - Returns all rows from the left table and matching rows from the right table. Non-matching rows have NULL. - Example:
            SELECT employees.name, departments.name
            FROM employees
            LEFT JOIN departments
            ON employees.department_id = departments.id;
            
3. RIGHT JOIN (OUTER JOIN): - Returns all rows from the right table and matching rows from the left table. Non-matching rows have NULL. - Example:
            SELECT employees.name, departments.name
            FROM employees
            RIGHT JOIN departments
            ON employees.department_id = departments.id;         
4. FULL OUTER JOIN: - Returns all rows from both tables, matching where possible. Not natively supported in MySQL, but can be simulated using UNION. - Example:
            SELECT employees.name, departments.name
            FROM employees
            LEFT JOIN departments
            ON employees.department_id = departments.id
            
            UNION
            
            SELECT employees.name, departments.name
            FROM employees
            RIGHT JOIN departments
            ON employees.department_id = departments.id;
5. CROSS JOIN: - Returns the Cartesian product of both tables. - Example:
            SELECT employees.name, departments.name
            FROM employees
            CROSS JOIN departments;
Interview Questions 1. What is the difference between INNER JOIN and OUTER JOIN? - INNER JOIN only includes rows with matches in both tables, while OUTER JOIN includes unmatched rows. 2. How can you simulate a FULL OUTER JOIN in MySQL? - Use UNION of LEFT JOIN and RIGHT JOIN. 3. What is a Cartesian product, and when does it occur? - A Cartesian product occurs in a CROSS JOIN or when no ON condition is specified, resulting in all possible row combinations.

๐ŸŽ“๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ! ๐Ÿš€ Upgrade your skill
๐ŸŽ“๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ฒ๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—•๐—ผ๐—ผ๐˜€๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ! ๐Ÿš€ Upgrade your skills and earn industry-recognized certificates โ€” 100% FREE! โœ… Big Data Analytics โ€“ https://pdlink.in/4nzRoza โœ… AI & ML โ€“ https://pdlink.in/401SWry โœ… Cloud Computing โ€“ https://pdlink.in/3U2sMkR โœ… Cyber Security โ€“ https://pdlink.in/4nzQaDQ โœ… Other Tech Courses โ€“ https://pdlink.in/4lIN673 ๐ŸŽฏ Enroll Now & Get Certified for FREE

๐Ÿš€ Coding Projects & Ideas ๐Ÿ’ป Inspire your next portfolio project โ€” from beginner to pro! ๐Ÿ—๏ธ Beginner-Friendly Projects 1๏ธโƒฃ To-Do List App โ€“ Create tasks, mark as done, store in browser. 2๏ธโƒฃ Weather App โ€“ Fetch live weather data using a public API. 3๏ธโƒฃ Unit Converter โ€“ Convert currencies, length, or weight. 4๏ธโƒฃ Personal Portfolio Website โ€“ Showcase skills, projects & resume. 5๏ธโƒฃ Calculator App โ€“ Build a clean UI for basic math operations. โš™๏ธ Intermediate Projects 6๏ธโƒฃ Chatbot with AI โ€“ Use NLP libraries to answer user queries. 7๏ธโƒฃ Stock Market Tracker โ€“ Real-time graphs & stock performance. 8๏ธโƒฃ Expense Tracker โ€“ Manage budgets & visualize spending. 9๏ธโƒฃ Image Classifier (ML) โ€“ Classify objects using pre-trained models. ๐Ÿ”Ÿ E-Commerce Website โ€“ Product catalog, cart, payment gateway. ๐Ÿš€ Advanced Projects 1๏ธโƒฃ1๏ธโƒฃ Blockchain Voting System โ€“ Decentralized & tamper-proof elections. 1๏ธโƒฃ2๏ธโƒฃ Social Media Analytics Dashboard โ€“ Analyze engagement, reach & sentiment. 1๏ธโƒฃ3๏ธโƒฃ AI Code Assistant โ€“ Suggest code improvements or detect bugs. 1๏ธโƒฃ4๏ธโƒฃ IoT Smart Home App โ€“ Control devices using sensors and Raspberry Pi. 1๏ธโƒฃ5๏ธโƒฃ AR/VR Simulation โ€“ Build immersive learning or game experiences. ๐Ÿ’ก Tip: Build in public. Share your process on GitHub, LinkedIn & Twitter. ๐Ÿ”ฅ React โค๏ธ for more project ideas!

Repost from Data Analyst Jobs
๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜ Learn Fundamental Skills with Free Online Courses & E
๐—™๐—ฅ๐—˜๐—˜ ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ง๐—ผ ๐—˜๐—ป๐—ฟ๐—ผ๐—น๐—น ๐—œ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ ๐Ÿ˜ Learn Fundamental Skills with Free Online Courses & Earn Certificates - AI - GenAI - Data Science, - BigData  - Python - Cloud Computing - Machine Learning - Cyber Security  ๐‹๐ข๐ง๐ค ๐Ÿ‘‡:-  https://pdlink.in/4dJ27Ta Enroll for FREE & Get Certified ๐ŸŽ“

Accenture Data Scientist Interview Questions! 1st round- Technical Round - 2 SQl questions based on playing around views and table, which could be solved by both subqueries and window functions. - 2 Pandas questions , testing your knowledge on filtering , concatenation , joins and merge. - 3-4 Machine Learning questions completely based on my Projects, starting from Explaining the problem statements and then discussing the roadblocks of those projects and some cross questions. 2nd round- - Couple of python questions agains on pandas and numpy and some hypothetical data. - Machine Learning projects explanations and cross questions. - Case Study and a quiz question. 3rd and Final round. HR interview Simple Scenerio Based Questions. Data Science Resources ๐Ÿ‘‡๐Ÿ‘‡ https://t.me/datasciencefun Like if you need similar content ๐Ÿ˜„๐Ÿ‘

๐—ฆ๐˜๐—ถ๐—น๐—น ๐—™๐—ฎ๐—ถ๐—น๐—ถ๐—ป๐—ด ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„๐˜€? ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐—–๐—ผ๐˜‚๐—น๐—ฑ ๐—™๐—ถ๐—ป๐—ฎ๐—น๐—น๐˜†
๐—ฆ๐˜๐—ถ๐—น๐—น ๐—™๐—ฎ๐—ถ๐—น๐—ถ๐—ป๐—ด ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„๐˜€? ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐Ÿฏ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ฅ๐—ฒ๐˜€๐—ผ๐˜‚๐—ฟ๐—ฐ๐—ฒ๐˜€ ๐—–๐—ผ๐˜‚๐—น๐—ฑ ๐—™๐—ถ๐—ป๐—ฎ๐—น๐—น๐˜† ๐—–๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐—ง๐—ต๐—ฎ๐˜๐Ÿ˜ Youโ€™ve spent hours solving LeetCode problems. Youโ€™ve gone through entire DSA playlists๐Ÿ—ฃโœจ๏ธ The internet is filled with confusing roadmaps and endless practice sets. But what you need is clarity, structure, and confidence. Thatโ€™s exactly what these 3 high-impact, free YouTube videos give you.๐Ÿ‘จโ€๐Ÿ’ป๐Ÿ“Œ ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/4feEnaA This is your new cheat codeโœ…๏ธ

โญ Beginner To Advanced FULLSTACK
+8
โญ Beginner To Advanced FULLSTACK

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๐—š๐—ฒ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฟ๐—ฒ๐—ฎ๐—บ ๐—œ๐—ง ๐—๐—ผ๐—ฏ ๐—œ๐—ป ๐—ง๐—ผ๐—ฝ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€๐Ÿ˜ Master Coding Skills & Get Salary Package Upto 41LPA Designed by the Top 1% from IITs and top MNCs. ๐—›๐—ถ๐—ด๐—ต๐—น๐—ถ๐—ด๐—ต๐˜๐—ฒ๐˜€:-  - Learn from the Top 1% of the tech industry - Placement assistance - 60+ hiring drives each month ๐—•๐—ผ๐—ผ๐—ธ ๐—ฎ ๐—™๐—ฅ๐—˜๐—˜ ๐——๐—ฒ๐—บ๐—ผ๐Ÿ‘‡:-  ๐—ข๐—ป๐—น๐—ถ๐—ป๐—ฒ:- https://pdlink.in/4m3JoFN ๐—›๐˜†๐—ฑ๐—ฒ๐—ฟ๐—ฎ๐—ฏ๐—ฎ๐—ฑ:- https://pdlink.in/3EZpScU ๐—ฃ๐˜‚๐—ป๐—ฒ:- https://pdlink.in/4iXLioG ( Hurry Up ๐Ÿƒโ€โ™‚๏ธLimited Slots )

PYTHON SYNTAX
PYTHON SYNTAX

๐Ÿฑ ๐—ฅ๐—ฒ๐—ฎ๐—น-๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ โ€“ ๐—ช๐—ถ๐˜๐—ต ๐—™๐˜‚๐—น๐—น ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น๐˜€
๐Ÿฑ ๐—ฅ๐—ฒ๐—ฎ๐—น-๐—ช๐—ผ๐—ฟ๐—น๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜๐˜€ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฅ๐—ฒ๐˜€๐˜‚๐—บ๐—ฒ โ€“ ๐—ช๐—ถ๐˜๐—ต ๐—™๐˜‚๐—น๐—น ๐—ง๐˜‚๐˜๐—ผ๐—ฟ๐—ถ๐—ฎ๐—น๐˜€!๐Ÿ˜ Are you ready to build real-world tech projects that donโ€™t just look good on your resume, but actually teach you practical, job-ready skills?๐Ÿง‘โ€๐Ÿ’ป๐Ÿ“Œ Hereโ€™s a curated list of 5 high-value development tutorials โ€” covering everything from full-stack development and real-time chat apps to AI form builders and reinforcement learningโœจ๏ธ๐Ÿ’ป ๐‹๐ข๐ง๐ค๐Ÿ‘‡:- https://pdlink.in/3UtCSLO Theyโ€™re real, portfolio-worthy projects you can start todayโœ…๏ธ

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Guide to Building an AI Agent 1๏ธโƒฃ ๐—–๐—ต๐—ผ๐—ผ๐˜€๐—ฒ ๐˜๐—ต๐—ฒ ๐—ฅ๐—ถ๐—ด๐—ต๐˜ ๐—Ÿ๐—Ÿ๐—  Not all LLMs are equal. Pick one that: - Excels in reasoning benchmarks - Supports chain-of-thought (CoT) prompting - Delivers consistent responses ๐Ÿ“Œ Tip: Experiment with models & fine-tune prompts to enhance reasoning. 2๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น ๐—Ÿ๐—ผ๐—ด๐—ถ๐—ฐ 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. ๐Ÿ“Œ Choosing the right approach improves reasoning & reliability. 3๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐—–๐—ผ๐—ฟ๐—ฒ ๐—œ๐—ป๐˜€๐˜๐—ฟ๐˜‚๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ & ๐—™๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ๐˜€ Set operational rules: - How to handle unclear queries? (Ask clarifying questions) - When to use external tools? - Formatting rules? (Markdown, JSON, etc.) - Interaction style? ๐Ÿ“Œ Clear system prompts shape agent behavior. 4๏ธโƒฃ ๐—œ๐—บ๐—ฝ๐—น๐—ฒ๐—บ๐—ฒ๐—ป๐˜ ๐—ฎ ๐— ๐—ฒ๐—บ๐—ผ๐—ฟ๐˜† ๐—ฆ๐˜๐—ฟ๐—ฎ๐˜๐—ฒ๐—ด๐˜† 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. ๐Ÿ“Œ Example: A financial AI recalls risk tolerance from past chats. 5๏ธโƒฃ ๐—˜๐—พ๐˜‚๐—ถ๐—ฝ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐˜„๐—ถ๐˜๐—ต ๐—ง๐—ผ๐—ผ๐—น๐˜€ & ๐—”๐—ฃ๐—œ๐˜€ 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? ๐Ÿ“Œ Example: A support AI retrieves order details via CRM API. 6๏ธโƒฃ ๐——๐—ฒ๐—ณ๐—ถ๐—ป๐—ฒ ๐˜๐—ต๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜โ€™๐˜€ ๐—ฅ๐—ผ๐—น๐—ฒ & ๐—ž๐—ฒ๐˜† ๐—ง๐—ฎ๐˜€๐—ธ๐˜€ Narrowly defined agents perform better. Clarify: - Mission: (e.g., "I analyze datasets for insights.") - Key Tasks: (Summarizing, visualizing, analyzing) - Limitations: ("I donโ€™t offer legal advice.") ๐Ÿ“Œ Example: A financial AI focuses on finance, not general knowledge. 7๏ธโƒฃ ๐—›๐—ฎ๐—ป๐—ฑ๐—น๐—ถ๐—ป๐—ด ๐—ฅ๐—ฎ๐˜„ ๐—Ÿ๐—Ÿ๐—  ๐—ข๐˜‚๐˜๐—ฝ๐˜‚๐˜๐˜€ Post-process responses for structure & accuracy: - Convert AI output to structured formats (JSON, tables) - Validate correctness before user delivery - Ensure correct tool execution ๐Ÿ“Œ Example: A financial AI converts extracted data into JSON. 8๏ธโƒฃ ๐—ฆ๐—ฐ๐—ฎ๐—น๐—ถ๐—ป๐—ด ๐˜๐—ผ ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ (๐—”๐—ฑ๐˜ƒ๐—ฎ๐—ป๐—ฐ๐—ฒ๐—ฑ) 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? ๐Ÿ“Œ Example: 1๏ธโƒฃ One agent fetches data 2๏ธโƒฃ Another summarizes 3๏ธโƒฃ A third generates a report Master the fundamentals, experiment, and refine and.. now go build something amazing!

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