ChatGPT & Free AI Resources
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๐Ÿ† Learn ChatGPT & Artificial Intelligence
๐Ÿค– Learn Python & Data Science
๐Ÿ”ฐAll about Deep Learning, LLMs #deeplearning #deep_learning #AI #ML
โœŒ๏ธFollow for quality content amid all the noise in #AI

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Superintelligence is now in sight.
๐Ÿ˜3๐Ÿคฃ1
๐—ฃ๐—ฟ๐—ฒ๐—ฝ๐—ฎ๐—ฟ๐—ถ๐—ป๐—ด ๐—ณ๐—ผ๐—ฟ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ? ๐—›๐—ฒ๐—ฟ๐—ฒโ€™๐˜€ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—ฆ๐˜๐—ฒ๐—ฝ-๐—ฏ๐˜†-๐—ฆ๐˜๐—ฒ๐—ฝ ๐—ฅ๐—ผ๐—ฎ๐—ฑ๐—บ๐—ฎ๐—ฝ ๐˜๐—ผ ๐—–๐—ฟ๐—ฎ๐—ฐ๐—ธ ๐—ฃ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜-๐—•๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—–๐—ผ๐—บ๐—ฝ๐—ฎ๐—ป๐—ถ๐—ฒ๐˜€!๐Ÿ˜

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โค3
Forwarded from Artificial Intelligence
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—•๐˜‚๐—ถ๐—น๐—ฑ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—ฃ๐—ผ๐—ฟ๐˜๐—ณ๐—ผ๐—น๐—ถ๐—ผ ๐—ง๐—ต๐—ฎ๐˜ ๐—š๐—ฒ๐˜๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—›๐—ถ๐—ฟ๐—ฒ๐—ฑ?๐Ÿ˜

If youโ€™re just starting out in data analytics and wondering how to stand out โ€” real-world projects are the key๐Ÿ“Š

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โค1
How to master ChatGPT-4o....

The secret? Prompt engineering.

These 9 frameworks will help you!

APE
โ†ณ Action, Purpose, Expectation

Action: Define the job or activity.
Purpose: Discuss the goal.
Expectation: State the desired outcome.


RACE
โ†ณ Role, Action, Context, Expectation

Role: Specify ChatGPT's role.
Action: Detail the necessary action.
Context: Provide situational details.
Expectation: Describe the expected outcome.


COAST
โ†ณ 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
โ†ณ Task, Action, Goal

Task: Define the task.
Action: Describe the steps.
Goal: Explain the end goal.


RISE
โ†ณ Role, Input, Steps, Expectation

Role: Specify ChatGPT's role.
Input: Provide necessary information.
Steps: Detail the steps.
Expectation: Describe the result.


TRACE
โ†ณ 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
โ†ณ Expectation, Role, Action

Expectation: Describe the desired result.
Role: Specify ChatGPT's role.
Action: Specify needed actions.


CARE
โ†ณ Context, Action, Result, Example

Context: Set the stage.
Action: Describe the task.
Result: Describe the outcome.
Example: Give an illustration.


ROSES
โ†ณ 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://t.me/machinelearning_deeplearning
โค3
Forwarded from Artificial Intelligence
๐—ช๐—ฎ๐—ป๐˜ ๐˜๐—ผ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—œ๐—ป-๐——๐—ฒ๐—บ๐—ฎ๐—ป๐—ฑ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ โ€” ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฅ๐—˜๐—˜ โ€” ๐——๐—ถ๐—ฟ๐—ฒ๐—ฐ๐˜๐—น๐˜† ๐—ณ๐—ฟ๐—ผ๐—บ ๐—š๐—ผ๐—ผ๐—ด๐—น๐—ฒ?๐Ÿ˜

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Enjoy Learning โœ…๏ธ
โค1
๐Ÿ“ˆ 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.
โค2
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
โค2
๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ ๐—๐˜‚๐˜€๐˜ ๐—ฅ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐Ÿฑ ๐—™๐—ฅ๐—˜๐—˜ ๐—ง๐—ฒ๐—ฐ๐—ต ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ฌ๐—ผ๐˜‚ ๐—–๐—ฎ๐—ปโ€™๐˜ ๐— ๐—ถ๐˜€๐˜€ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ!๐Ÿ˜

๐Ÿšจ Harvard just dropped 5 FREE online tech courses โ€” no fees, no catches!๐Ÿ“Œ

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โค1
๐—จ๐—ฝ๐˜€๐—ธ๐—ถ๐—น๐—น ๐—™๐—ฎ๐˜€๐˜: ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—ง๐—ฒ๐—ฐ๐—ต ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜-๐—•๐—ฎ๐˜€๐—ฒ๐—ฑ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ถ๐—ป ๐—๐˜‚๐˜€๐˜ ๐Ÿฏ๐Ÿฌ ๐——๐—ฎ๐˜†๐˜€!๐Ÿ˜

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โค1
๐Ÿค– 6 PROMPTS TO USE CHATCPT AS YOUR DATA ANALYST...
โค1
ChatGPT Cheatsheet

#chatgpt
โค1
Forwarded from Artificial Intelligence
๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ผ๐—ณ๐˜โ€™๐˜€ ๐—™๐—ฅ๐—˜๐—˜ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ โ€“ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—›๐—ผ๐˜„ ๐˜๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—”๐—œ ๐—ช๐—ผ๐—ฟ๐—ธ๐˜€๐Ÿ˜

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โค1
Microsoft is offering FREE courses in following areas:

- AI
- IOT- Data Science
- Machine Learning
A project-based pedagogy that allows you to learn while building! ๐Ÿš€

1๏ธโƒฃ AI for beginners
Check this out ๐Ÿ‘‡
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2๏ธโƒฃ IOT
Check this out ๐Ÿ‘‡
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3๏ธโƒฃ Machine Learning
Check this out๐Ÿ‘‡
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4๏ธโƒฃ Data Science
Check this out๐Ÿ‘‡
http://microsoft.github.io/Data-Science-For-Beginners/#/
โค2
Forwarded from Artificial Intelligence
๐—ช๐—ถ๐—ฝ๐—ฟ๐—ผโ€™๐˜€ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐——๐—ฎ๐˜๐—ฎ ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ ๐—”๐—ฐ๐—ฐ๐—ฒ๐—น๐—ฒ๐—ฟ๐—ฎ๐˜๐—ผ๐—ฟ: ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—™๐—ฎ๐˜€๐˜-๐—ง๐—ฟ๐—ฎ๐—ฐ๐—ธ ๐˜๐—ผ ๐—ฎ ๐——๐—ฎ๐˜๐—ฎ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ!๐Ÿ˜

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Copy & paste these 7 ChatGPT prompts to create an irresistible Resume/CV ๐Ÿ‘‡

Showcase your strengths. Turn applications into interview invites!

Use these 10 proven ChatGPT prompts:


๐Ÿ“ˆ Prompt 1: ATS Keyword Optimizer

Analyze the job description 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 description: [Paste Description].


๐Ÿ“ˆ 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 description: [Paste Current Bullets]. 


๐Ÿ“ˆ Prompt 3: Skills Hierarchy Creator

Evaluate my skills for [Job Description]. 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].


๐Ÿ“ˆ 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 description: [Paste Description].


๐Ÿ“ˆ 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 description: [Paste Description].


๐Ÿ“ˆ 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 description: [Paste Description].


๐Ÿ“ˆ 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 description: [Paste Job Description].

Join for more: https://t.me/aiindi

#aiprompt
โค3
5 ChatGPT Prompt Frameworks That Will Instantly Level Up Your Outputs ๐Ÿš€๐Ÿ“‹

Donโ€™t just wing it - use a formula.
These pro-level structures will make your prompts smarter, faster, and way more effective.
โค1
Forwarded from Artificial Intelligence
๐—›๐—ถ๐—ฑ๐—ฑ๐—ฒ๐—ป ๐—š๐—ฒ๐—บ ๐—ณ๐—ผ๐—ฟ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐—ณ๐—ฟ๐—ผ๐—บ ๐— ๐—œ๐—ง, ๐—›๐—ฎ๐—ฟ๐˜ƒ๐—ฎ๐—ฟ๐—ฑ & ๐—ฆ๐˜๐—ฎ๐—ป๐—ณ๐—ผ๐—ฟ๐—ฑ!๐Ÿ˜

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โค1
๐Ÿงญ 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.


๐Ÿ“… 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
โค4
๐Ÿฏ ๐—™๐—ฅ๐—˜๐—˜ ๐—–๐—ผ๐˜‚๐—ฟ๐˜€๐—ฒ๐˜€ ๐˜๐—ผ ๐—ฆ๐˜๐—ฎ๐—ฟ๐˜ ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐——๐—ฎ๐˜๐—ฎ ๐—”๐—ป๐—ฎ๐—น๐˜†๐˜๐—ถ๐—ฐ๐˜€ ๐—–๐—ฎ๐—ฟ๐—ฒ๐—ฒ๐—ฟ ๐—ถ๐—ป ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฑ!๐Ÿ˜

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