How to master ChatGPT-4o....
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
The secret? Prompt engineering.
These 9 frameworks will help you!
APE
↳ Action, Purpose, Expectation
Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.
RACE
↳ Role, Action, Context, Expectation
Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.
COAST
↳ Context, Objective, Actions, Scenario, Task
Context: Set the stage.
Objective: Describe the goal.
Actions: Explain needed steps.
Scenario: Describe the situation.
Task: Outline the task.
TAG
↳ Task, Action, Goal
Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.
RISE
↳ Role, Input, Steps, Expectation
Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.
TRACE
↳ Task, Request, Action, Context, Example
Task: Define the task.
Request: Describe the need.
Action: State the required action.
Context: Provide the situation.
Example: Illustrate with an example.
ERA
↳ Expectation, Role, Action
Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.
CARE
↳ Context, Action, Result, Example
Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.
ROSES
↳ Role, Objective, Scenario, Expected Solution, Steps
Role: Specify ChatGPT's role.
Objective: State the goal or aim.
Scenario: Describe the situation.
Expected Solution: Define the outcome.
Steps: Ask for necessary actions to reach solution.
Join for more: https://news.1rj.ru/str/machinelearning_deeplearning
❤3
Forwarded from Artificial Intelligence
𝗪𝗮𝗻𝘁 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗜𝗻-𝗗𝗲𝗺𝗮𝗻𝗱 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 — 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘 — 𝗗𝗶𝗿𝗲𝗰𝘁𝗹𝘆 𝗳𝗿𝗼𝗺 𝗚𝗼𝗼𝗴𝗹𝗲?😍
Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket🎟️
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𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/42vL6br
Enjoy Learning ✅️
Whether you’re a student, job seeker, or just hungry to upskill — these 5 beginner-friendly courses are your golden ticket🎟️
No fluff. No fees. Just career-boosting knowledge and certificates that make your resume pop✨️
𝐋𝐢𝐧𝐤👇:-
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Enjoy Learning ✅️
❤1
📈 GPT-4 performed better in financial analysis with larger and more mature firms, BI researchers reported.
A study has found that OpenAI's GPT-4 can analyze financial statements and sometimes predict a company's future performance better than a human analyst.
Researchers at the University of Chicago Booth School of Business studied more than 150,000 firm observations, from about 15,000 companies, and evaluated the performance of financial analysts in their predictions. The analysts achieved 53% accuracy in monthly forecasts of the direction of future earnings.
GPT-4, given financial reports without textual information, achieved 52% accuracy. However, when the researchers used a command-line thought chain, the model achieved 60% accuracy, outperforming human analysts.
The results showed that GPT, by receiving more instructions and approaching the analysis like a human, could outperform human analysts even without key textual information commonly found in financial reports.
A study has found that OpenAI's GPT-4 can analyze financial statements and sometimes predict a company's future performance better than a human analyst.
Researchers at the University of Chicago Booth School of Business studied more than 150,000 firm observations, from about 15,000 companies, and evaluated the performance of financial analysts in their predictions. The analysts achieved 53% accuracy in monthly forecasts of the direction of future earnings.
GPT-4, given financial reports without textual information, achieved 52% accuracy. However, when the researchers used a command-line thought chain, the model achieved 60% accuracy, outperforming human analysts.
The results showed that GPT, by receiving more instructions and approaching the analysis like a human, could outperform human analysts even without key textual information commonly found in financial reports.
❤2
Anti Aging Breakthrough
Researchers at NYU have developed an AI powered tool called the Nuclear Morphometric Pipeline (NMP) that accurately identifies and tracks senescent cells - damaged cells linked to aging and disease, by analyzing changes in their nuclei.
The tool could improve understanding of aging, aid in drug development, and support therapies to reverse age related damage.
Another important step toward understanding aging
Researchers at NYU have developed an AI powered tool called the Nuclear Morphometric Pipeline (NMP) that accurately identifies and tracks senescent cells - damaged cells linked to aging and disease, by analyzing changes in their nuclei.
The tool could improve understanding of aging, aid in drug development, and support therapies to reverse age related damage.
Another important step toward understanding aging
❤2
𝗛𝗮𝗿𝘃𝗮𝗿𝗱 𝗝𝘂𝘀𝘁 𝗥𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝟱 𝗙𝗥𝗘𝗘 𝗧𝗲𝗰𝗵 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻’𝘁 𝗠𝗶𝘀𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
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𝐋𝐢𝐧𝐤👇:-
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💡Learn at your own pace, earn certificates, and boost your resume✅️
🚨 Harvard just dropped 5 FREE online tech courses — no fees, no catches!📌
Whether you’re just starting out or upskilling for a tech career, this is your chance to learn from one of the world’s top universities — for FREE. 🌍
𝐋𝐢𝐧𝐤👇:-
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💡Learn at your own pace, earn certificates, and boost your resume✅️
❤1
𝗨𝗽𝘀𝗸𝗶𝗹𝗹 𝗙𝗮𝘀𝘁: 𝗟𝗲𝗮𝗿𝗻 𝗧𝗲𝗰𝗵 𝗦𝗸𝗶𝗹𝗹𝘀 𝘄𝗶𝘁𝗵 𝗣𝗿𝗼𝗷𝗲𝗰𝘁-𝗕𝗮𝘀𝗲𝗱 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗶𝗻 𝗝𝘂𝘀𝘁 𝟯𝟬 𝗗𝗮𝘆𝘀!😍
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Start today and you’ll be 10x more confident by the end of it!✅️
Level up your tech skills in just 30 days! 💻👨🎓
Whether you’re a beginner, student, or planning a career switch, this platform offers project-based courses👨💻✨️
𝐋𝐢𝐧𝐤👇:-
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Start today and you’ll be 10x more confident by the end of it!✅️
❤1
Forwarded from Artificial Intelligence
𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗥𝗘𝗘 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗖𝗼𝘂𝗿𝘀𝗲 – 𝗟𝗲𝗮𝗿𝗻 𝗛𝗼𝘄 𝘁𝗵𝗲 𝗙𝘂𝘁𝘂𝗿𝗲 𝗼𝗳 𝗔𝗜 𝗪𝗼𝗿𝗸𝘀😍
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This course is your launchpad into the future of artificial intelligence✅️
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This course is your launchpad into the future of artificial intelligence✅️
❤1
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- AI
- IOT- Data Science
- Machine Learning
A project-based pedagogy that allows you to learn while building! 🚀
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Check this out 👇
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Check this out👇
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- AI
- IOT- Data Science
- Machine Learning
A project-based pedagogy that allows you to learn while building! 🚀
1️⃣ AI for beginners
Check this out 👇
http://microsoft.github.io/AI-For-Beginners
2️⃣ IOT
Check this out 👇
https://microsoft.github.io/IoT-For-Beginners
3️⃣ Machine Learning
Check this out👇
http://microsoft.github.io/ML-For-Beginners/#/
4️⃣ Data Science
Check this out👇
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❤2
Forwarded from Artificial Intelligence
𝗪𝗶𝗽𝗿𝗼’𝘀 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: 𝗬𝗼𝘂𝗿 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝘁𝗼 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿!😍
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Copy & paste these 7 ChatGPT prompts to create an irresistible Resume/CV 👇
Showcase your strengths. Turn applications into interview invites!
Use these 10 proven ChatGPT prompts:
📈 Prompt 1: ATS Keyword Optimizer
Analyze the job denoscription for [Position] and my resume. Identify 10 crucial keywords. Suggest natural placements in my resume, ensuring ATS compatibility. Present results as a table with Keyword, Relevance Score (1-10), and Suggested Placement. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 2: Experience Section Enhancer
Optimize the bullet points for my most recent role as [Job Title]. Focus on achievements, skills utilized, and quantifiable results. Use strong action verbs. Present a before/after comparison with explanations for changes. Current job denoscription: [Paste Current Bullets].
📈 Prompt 3: Skills Hierarchy Creator
Evaluate my skills for [Job Denoscription]. Create a skills hierarchy with 3 tiers: core, advanced, and distinguishing skills. Suggest how to demonstrate each skill briefly. Present a visual skills pyramid with examples. My resume: [Paste Resume]. Job requirements: [Paste Requirements].
📈 Prompt 4: Professional Summary Crafter
Write a compelling professional summary for my resume for [Job Title]. Incorporate my unique value proposition, key skills, and career experience. Limit to 3-4 sentences. Provide 3 versions: conservative, balanced, and bold. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 5: Education Optimizer
Refine my education section for [Job Title]. Highlight relevant coursework, projects, or academic achievements. Suggest how to present ongoing education/certifications effectively. Provide a before/after version with explanations. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 6: Technical Skills Showcase
List my technical skills for [Industry/Role]. Create a visual representation (Described in Text) that organizes these skills by proficiency level and relevance to [Target Role]. Suggestion skills to acquire/improve. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 7: Positive Career Gap Framing
Write an explanation for my [X months/years] career gap between [Start Date] and [End Date]. Focus on growth, skills gained, and valuable experiences. Show how these enhance my fit for [Target Job Title]. Create 3 versions for resume, cover letter, and interview response. My resume: [Paste Resume]. Job denoscription: [Paste Job Denoscription].
Join for more: https://news.1rj.ru/str/aiindi
#aiprompt
Showcase your strengths. Turn applications into interview invites!
Use these 10 proven ChatGPT prompts:
📈 Prompt 1: ATS Keyword Optimizer
Analyze the job denoscription for [Position] and my resume. Identify 10 crucial keywords. Suggest natural placements in my resume, ensuring ATS compatibility. Present results as a table with Keyword, Relevance Score (1-10), and Suggested Placement. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 2: Experience Section Enhancer
Optimize the bullet points for my most recent role as [Job Title]. Focus on achievements, skills utilized, and quantifiable results. Use strong action verbs. Present a before/after comparison with explanations for changes. Current job denoscription: [Paste Current Bullets].
📈 Prompt 3: Skills Hierarchy Creator
Evaluate my skills for [Job Denoscription]. Create a skills hierarchy with 3 tiers: core, advanced, and distinguishing skills. Suggest how to demonstrate each skill briefly. Present a visual skills pyramid with examples. My resume: [Paste Resume]. Job requirements: [Paste Requirements].
📈 Prompt 4: Professional Summary Crafter
Write a compelling professional summary for my resume for [Job Title]. Incorporate my unique value proposition, key skills, and career experience. Limit to 3-4 sentences. Provide 3 versions: conservative, balanced, and bold. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 5: Education Optimizer
Refine my education section for [Job Title]. Highlight relevant coursework, projects, or academic achievements. Suggest how to present ongoing education/certifications effectively. Provide a before/after version with explanations. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 6: Technical Skills Showcase
List my technical skills for [Industry/Role]. Create a visual representation (Described in Text) that organizes these skills by proficiency level and relevance to [Target Role]. Suggestion skills to acquire/improve. My resume: [Paste Resume]. Job denoscription: [Paste Denoscription].
📈 Prompt 7: Positive Career Gap Framing
Write an explanation for my [X months/years] career gap between [Start Date] and [End Date]. Focus on growth, skills gained, and valuable experiences. Show how these enhance my fit for [Target Job Title]. Create 3 versions for resume, cover letter, and interview response. My resume: [Paste Resume]. Job denoscription: [Paste Job Denoscription].
Join for more: https://news.1rj.ru/str/aiindi
#aiprompt
❤2
Forwarded from Artificial Intelligence
𝗛𝗶𝗱𝗱𝗲𝗻 𝗚𝗲𝗺 𝗳𝗼𝗿 𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗿𝗼𝗺 𝗠𝗜𝗧, 𝗛𝗮𝗿𝘃𝗮𝗿𝗱 & 𝗦𝘁𝗮𝗻𝗳𝗼𝗿𝗱!😍
Still searching for quality learning resources?📚
What if I told you there’s a platform offering free full-length courses from top universities like MIT, Stanford, and Harvard — and most people have never even heard of it? 🤯
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Don’t skip this chance✅️
Still searching for quality learning resources?📚
What if I told you there’s a platform offering free full-length courses from top universities like MIT, Stanford, and Harvard — and most people have never even heard of it? 🤯
𝗟𝗶𝗻𝗸𝘀:-👇
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Don’t skip this chance✅️
❤1
🧭 Roadmap to Learn Generative AI (2025 Edition)
1. Master Python Programming (1 Month)
Learn basic syntax, data structures, and object-oriented programming.
Practice with libraries like NumPy, pandas, and Matplotlib.
Understand how to build simple applications using Python.
2. Understand Machine Learning Fundamentals (1 Month)
Grasp core concepts like supervised, unsupervised learning, and reinforcement learning.
Study algorithms such as linear regression, decision trees, k-means clustering, etc.
Learn about model evaluation metrics.
3. Dive into Deep Learning (1 Month)
Explore neural networks and architectures such as Feedforward Neural Networks (FNN), CNN, and RNN.
Learn about backpropagation, activation functions, and optimization techniques.
4. Grasp Generative Models (1 Month)
Study Autoencoders (AEs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
Understand how these models generate new data by learning from existing data.
5. Explore Natural Language Processing (NLP) (1 Month)
Learn about text preprocessing, embeddings, and sequence models.
Study the transformers architecture and attention mechanisms.
Understand how models like GPT and BERT work.
6. Engage with Generative AI Tools (1 Month)
Get hands-on with frameworks like Hugging Face for pre-trained models.
Learn to fine-tune models and build generative applications using these tools.
7. Work on Real-World Projects (Ongoing)
Apply your skills by developing projects such as chatbots, content generators, or image generators.
Continuously work on open-source projects or participate in competitions to improve your skills.
8. Join the AI Community (Ongoing)
Engage in forums, attend webinars, and follow AI researchers.
📅 Suggested 6-Month Learning Plan
Month 1: Python Programming
Month 2: Machine Learning Fundamentals
Month 3: Deep Learning Basics
Month 4: Generative Models
Month 5: Natural Language Processing
Month 6: Generative AI Tools & Real-World Projects
1. Master Python Programming (1 Month)
Learn basic syntax, data structures, and object-oriented programming.
Practice with libraries like NumPy, pandas, and Matplotlib.
Understand how to build simple applications using Python.
2. Understand Machine Learning Fundamentals (1 Month)
Grasp core concepts like supervised, unsupervised learning, and reinforcement learning.
Study algorithms such as linear regression, decision trees, k-means clustering, etc.
Learn about model evaluation metrics.
3. Dive into Deep Learning (1 Month)
Explore neural networks and architectures such as Feedforward Neural Networks (FNN), CNN, and RNN.
Learn about backpropagation, activation functions, and optimization techniques.
4. Grasp Generative Models (1 Month)
Study Autoencoders (AEs), Variational Autoencoders (VAEs), and Generative Adversarial Networks (GANs).
Understand how these models generate new data by learning from existing data.
5. Explore Natural Language Processing (NLP) (1 Month)
Learn about text preprocessing, embeddings, and sequence models.
Study the transformers architecture and attention mechanisms.
Understand how models like GPT and BERT work.
6. Engage with Generative AI Tools (1 Month)
Get hands-on with frameworks like Hugging Face for pre-trained models.
Learn to fine-tune models and build generative applications using these tools.
7. Work on Real-World Projects (Ongoing)
Apply your skills by developing projects such as chatbots, content generators, or image generators.
Continuously work on open-source projects or participate in competitions to improve your skills.
8. Join the AI Community (Ongoing)
Engage in forums, attend webinars, and follow AI researchers.
📅 Suggested 6-Month Learning Plan
Month 1: Python Programming
Month 2: Machine Learning Fundamentals
Month 3: Deep Learning Basics
Month 4: Generative Models
Month 5: Natural Language Processing
Month 6: Generative AI Tools & Real-World Projects
❤4
𝟯 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
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𝗟𝗶𝗻𝗸:-👇
https://pdlink.in/3IohnJO
No confusion, no fluff — just pure value✅️
Want to break into Data Analytics but don’t know where to start? 🤔
These 3 beginner-friendly and 100% FREE courses will help you build real skills — no degree required!👨🎓
𝗟𝗶𝗻𝗸:-👇
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No confusion, no fluff — just pure value✅️
10 ChatGPT Prompts for Marketing You'll Actually Use:
1. Crafting a Brand Story
Prompt: "Develop an engaging brand story and persona for [company name] that authentically conveys our mission, values, and competitive differentiation."
2. Optimizing Landing Pages
Prompt: "Optimize the landing page for [product/service page name] to immediately convey value, build trust, and motivate visitors to convert."
3. Generating Content Ideas
Prompt: "Suggest 10 compelling content ideas related to [topic/keyword] that will engage our target audience and promote brand awareness."
4. Improving SEO
Prompt: "Provide 3 strategic recommendations to improve SEO and increase organic traffic for [company name/website]."
5. Building an Email Nurture Sequence
Prompt: "Design a personalized, multi-message email nurture sequence focused on educating and converting leads interested in [product/service]."
6. Crafting Value Propositions
Prompt: "Create strong, benefit-driven value propositions highlighting the top 3 advantages of using [product/service] over competitors."
7. Producing Engaging Social Media Content
Prompt: "Develop 5 creative social media post ideas for [platform] that will resonate with our audience and align with broader campaign goals."
8. Planning an Influencer Marketing Partnership
Prompt: "Outline an influencer partnership strategy for [company] to build brand awareness and trust among our target demographic."
9. Crafting Paid Ads
Prompt: "Write high-converting Facebook/Google ads for [product/service] tailored to our unique selling proposition and audience motivations."
10. Building an Email Marketing Campaign
Prompt: "Construct a complete email marketing campaign for the launch of [product/service], including series copy, visual assets, send schedule, and success metrics."
Share with your friends: https://news.1rj.ru/str/Learn_Startup
ENJOY LEARNING 👍👍
1. Crafting a Brand Story
Prompt: "Develop an engaging brand story and persona for [company name] that authentically conveys our mission, values, and competitive differentiation."
2. Optimizing Landing Pages
Prompt: "Optimize the landing page for [product/service page name] to immediately convey value, build trust, and motivate visitors to convert."
3. Generating Content Ideas
Prompt: "Suggest 10 compelling content ideas related to [topic/keyword] that will engage our target audience and promote brand awareness."
4. Improving SEO
Prompt: "Provide 3 strategic recommendations to improve SEO and increase organic traffic for [company name/website]."
5. Building an Email Nurture Sequence
Prompt: "Design a personalized, multi-message email nurture sequence focused on educating and converting leads interested in [product/service]."
6. Crafting Value Propositions
Prompt: "Create strong, benefit-driven value propositions highlighting the top 3 advantages of using [product/service] over competitors."
7. Producing Engaging Social Media Content
Prompt: "Develop 5 creative social media post ideas for [platform] that will resonate with our audience and align with broader campaign goals."
8. Planning an Influencer Marketing Partnership
Prompt: "Outline an influencer partnership strategy for [company] to build brand awareness and trust among our target demographic."
9. Crafting Paid Ads
Prompt: "Write high-converting Facebook/Google ads for [product/service] tailored to our unique selling proposition and audience motivations."
10. Building an Email Marketing Campaign
Prompt: "Construct a complete email marketing campaign for the launch of [product/service], including series copy, visual assets, send schedule, and success metrics."
Share with your friends: https://news.1rj.ru/str/Learn_Startup
ENJOY LEARNING 👍👍
❤2
Forwarded from Artificial Intelligence
𝟲 𝗥𝗲𝗮𝗹-𝗪𝗼𝗿𝗹𝗱 𝗦𝗤𝗟 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 (𝗙𝗥𝗘𝗘 𝗗𝗮𝘁𝗮𝘀𝗲𝘁𝘀!)😍
🎯 Want to level up your SQL skills with real business scenarios?📚
These 6 hands-on SQL projects will help you go beyond basic SELECT queries and practice what hiring managers actually care about👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/40kF1x0
Save this post — even completing 1 project can power up your SQL profile!✅️
🎯 Want to level up your SQL skills with real business scenarios?📚
These 6 hands-on SQL projects will help you go beyond basic SELECT queries and practice what hiring managers actually care about👨💻📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/40kF1x0
Save this post — even completing 1 project can power up your SQL profile!✅️
❤2
Roadmap to Building AI Agents
1. Master Python Programming – Build a solid foundation in Python, the primary language for AI development.
2. Understand RESTful APIs – Learn how to send and receive data via APIs, a crucial part of building interactive agents.
3. Dive into Large Language Models (LLMs) – Get a grip on how LLMs work and how they power intelligent behavior.
4. Get Hands-On with the OpenAI API – Familiarize yourself with GPT models and tools like function calling and assistants.
5. Explore Vector Databases – Understand how to store and search high-dimensional data efficiently.
6. Work with Embeddings – Learn how to generate and query embeddings for context-aware responses.
7. Implement Caching and Persistent Memory – Use databases to maintain memory across interactions.
8. Build APIs with Flask or FastAPI – Serve your agents as web services using these Python frameworks.
9. Learn Prompt Engineering – Master techniques to guide and control LLM responses.
10. Study Retrieval-Augmented Generation (RAG) – Learn how to combine external knowledge with LLMs.
11. Explore Agentic Frameworks – Use tools like LangChain and LangGraph to structure your agents.
12. Integrate External Tools – Learn to connect agents to real-world tools and APIs (like using MCP).
13. Deploy with Docker – Containerize your agents for consistent and scalable deployment.
14. Control Agent Behavior – Learn how to set limits and boundaries to ensure reliable outputs.
15. Implement Safety and Guardrails – Build in mechanisms to ensure ethical and safe agent behavior.
React ❤️ for more
1. Master Python Programming – Build a solid foundation in Python, the primary language for AI development.
2. Understand RESTful APIs – Learn how to send and receive data via APIs, a crucial part of building interactive agents.
3. Dive into Large Language Models (LLMs) – Get a grip on how LLMs work and how they power intelligent behavior.
4. Get Hands-On with the OpenAI API – Familiarize yourself with GPT models and tools like function calling and assistants.
5. Explore Vector Databases – Understand how to store and search high-dimensional data efficiently.
6. Work with Embeddings – Learn how to generate and query embeddings for context-aware responses.
7. Implement Caching and Persistent Memory – Use databases to maintain memory across interactions.
8. Build APIs with Flask or FastAPI – Serve your agents as web services using these Python frameworks.
9. Learn Prompt Engineering – Master techniques to guide and control LLM responses.
10. Study Retrieval-Augmented Generation (RAG) – Learn how to combine external knowledge with LLMs.
11. Explore Agentic Frameworks – Use tools like LangChain and LangGraph to structure your agents.
12. Integrate External Tools – Learn to connect agents to real-world tools and APIs (like using MCP).
13. Deploy with Docker – Containerize your agents for consistent and scalable deployment.
14. Control Agent Behavior – Learn how to set limits and boundaries to ensure reliable outputs.
15. Implement Safety and Guardrails – Build in mechanisms to ensure ethical and safe agent behavior.
React ❤️ for more
❤3
Master AI (Artificial Intelligence) in 10 days 👇👇
#AI
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
Free Resources: https://news.1rj.ru/str/machinelearning_deeplearning
Share for more: https://news.1rj.ru/str/datasciencefun
ENJOY LEARNING 👍👍
#AI
Day 1: Introduction to AI
- Start with an overview of what AI is and its various applications.
- Read articles or watch videos explaining the basics of AI.
Day 2-3: Machine Learning Fundamentals
- Learn the basics of machine learning, including supervised and unsupervised learning.
- Study concepts like data, features, labels, and algorithms.
Day 4-5: Deep Learning
- Dive into deep learning, understanding neural networks and their architecture.
- Learn about popular deep learning frameworks like TensorFlow or PyTorch.
Day 6: Natural Language Processing (NLP)
- Explore the basics of NLP, including tokenization, sentiment analysis, and named entity recognition.
Day 7: Computer Vision
- Study computer vision, including image recognition, object detection, and convolutional neural networks.
Day 8: AI Ethics and Bias
- Explore the ethical considerations in AI and the issue of bias in AI algorithms.
Day 9: AI Tools and Resources
- Familiarize yourself with AI development tools and platforms.
- Learn how to access and use AI datasets and APIs.
Day 10: AI Project
- Work on a small AI project. For example, build a basic chatbot, create an image classifier, or analyze a dataset using AI techniques.
Free Resources: https://news.1rj.ru/str/machinelearning_deeplearning
Share for more: https://news.1rj.ru/str/datasciencefun
ENJOY LEARNING 👍👍
🔥1
Forwarded from Data Analysis Books | Python | SQL | Excel | Artificial Intelligence | Power BI | Tableau | AI Resources
𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 𝗶𝗻 𝟮𝟬𝟮𝟱 — 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝗝𝘂𝘀𝘁 𝟯 𝗖𝗼𝗿𝗲 𝗦𝗸𝗶𝗹𝗹𝘀!😍
Want to break into Data Analytics without a degree or expensive bootcamps?👨💻📌
All you need are 3 essentials to get started👇
📊 Excel | 🛢 SQL | 🧠 Basic Maths
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3IwVWGE
You can learn & practice them 100% FREE✅️
Want to break into Data Analytics without a degree or expensive bootcamps?👨💻📌
All you need are 3 essentials to get started👇
📊 Excel | 🛢 SQL | 🧠 Basic Maths
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3IwVWGE
You can learn & practice them 100% FREE✅️
❤1