2024 Nobel Physics Prize winners are John Hopfield and Geoff Hinton, Pioneers of AI and ML
#artificialintelligence #ai
#artificialintelligence #ai
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👁🗨 MIMO Neural Network Completely Transforms Characters in Videos
MIMO is a new video-to-video model from Alibaba. It can imitate anyone, anywhere, even during complex movements with object interactions.
With a reference image, MIMO can synthesize animated avatars in just a few minutes.
GitHub and neural network's main page
#artificialintelligence #ai
MIMO is a new video-to-video model from Alibaba. It can imitate anyone, anywhere, even during complex movements with object interactions.
With a reference image, MIMO can synthesize animated avatars in just a few minutes.
GitHub and neural network's main page
#artificialintelligence #ai
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Physicists think AI is physics.
Statisticians think AI is statistics.
Mathematicians think AI is mathematics.
Psychologists think AI is psychology.
Neuroscientists think AI is neuroscience.
And they’re all right.
Statisticians think AI is statistics.
Mathematicians think AI is mathematics.
Psychologists think AI is psychology.
Neuroscientists think AI is neuroscience.
And they’re all right.
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Coding Project Ideas with AI 👇👇
1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.
2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.
3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.
4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.
5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.
6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.
7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.
8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.
9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.
10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.
Join for more: https://t.me/Programming_experts
ENJOY LEARNING 👍👍
1. Sentiment Analysis Tool: Develop a tool that uses AI to analyze the sentiment of text data, such as social media posts, customer reviews, or news articles. The tool could classify the sentiment as positive, negative, or neutral.
2. Image Recognition App: Create an app that uses AI image recognition algorithms to identify objects, scenes, or people in images. This could be useful for applications like automatic photo tagging or security surveillance.
3. Chatbot Development: Build a chatbot using AI natural language processing techniques to interact with users and provide information or assistance on a specific topic. You could integrate the chatbot into a website or messaging platform.
4. Recommendation System: Develop a recommendation system that uses AI algorithms to suggest products, movies, music, or other items based on user preferences and behavior. This could enhance the user experience on e-commerce platforms or streaming services.
5. Fraud Detection System: Create a fraud detection system that uses AI to analyze patterns and anomalies in financial transactions data. The system could help identify potentially fraudulent activities and prevent financial losses.
6. Health Monitoring App: Build an app that uses AI to monitor health data, such as heart rate, sleep patterns, or activity levels, and provide personalized recommendations for improving health and wellness.
7. Language Translation Tool: Develop a language translation tool that uses AI machine translation algorithms to translate text between different languages accurately and efficiently.
8. Autonomous Driving System: Work on a project to develop an autonomous driving system that uses AI computer vision and sensor data processing to navigate vehicles safely and efficiently on roads.
9. Personalized Content Generator: Create a tool that uses AI natural language generation techniques to generate personalized content, such as articles, emails, or marketing messages tailored to individual preferences.
10. Music Recommendation Engine: Build a music recommendation engine that uses AI algorithms to analyze music preferences and suggest playlists or songs based on user tastes and listening habits.
Join for more: https://t.me/Programming_experts
ENJOY LEARNING 👍👍
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Python AI Roadmap
Stage 1 – Learn Python Basics (Syntax, Data Types)
Stage 2 – Data Handling (Pandas, NumPy)
Stage 3 – Machine Learning (Scikit-Learn, Basic Models)
Stage 4 – Deep Learning (TensorFlow/PyTorch, Neural Networks)
Stage 5 – Build & Train ML Models
Stage 6 – Natural Language Processing (NLTK, spaCy)
Stage 7 – Model Deployment (Flask/FastAPI)
Stage 8 – AI Testing & Optimization
🏆 – Python AI Developer
Stage 1 – Learn Python Basics (Syntax, Data Types)
Stage 2 – Data Handling (Pandas, NumPy)
Stage 3 – Machine Learning (Scikit-Learn, Basic Models)
Stage 4 – Deep Learning (TensorFlow/PyTorch, Neural Networks)
Stage 5 – Build & Train ML Models
Stage 6 – Natural Language Processing (NLTK, spaCy)
Stage 7 – Model Deployment (Flask/FastAPI)
Stage 8 – AI Testing & Optimization
🏆 – Python AI Developer
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Python + AI Entrepreneurship Roadmap
Stage 1 – Identify AI Opportunity (Solve Real-World Problems)
Stage 2 – Build Python/AI Skills (ML, Deep Learning)
Stage 3 – Design AI Product (Prototyping with Flask/TensorFlow)
Stage 4 – Validate AI Model (Data Collection & Training)
Stage 5 – Build MVP (Deploy AI App)
Stage 6 – Secure Funding (Pitch to Investors)
Stage 7 – Marketing & Growth (AI-Driven Campaigns)
Stage 8 – Scale Product (Optimize & Automate)
🏆 – Python AI Entrepreneur
Stage 1 – Identify AI Opportunity (Solve Real-World Problems)
Stage 2 – Build Python/AI Skills (ML, Deep Learning)
Stage 3 – Design AI Product (Prototyping with Flask/TensorFlow)
Stage 4 – Validate AI Model (Data Collection & Training)
Stage 5 – Build MVP (Deploy AI App)
Stage 6 – Secure Funding (Pitch to Investors)
Stage 7 – Marketing & Growth (AI-Driven Campaigns)
Stage 8 – Scale Product (Optimize & Automate)
🏆 – Python AI Entrepreneur
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Uber used RAG and AI agents to build its in-house Text-to-SQL, saving 140,000 hours annually in query writing time. 📈
Here’s how they built the system end-to-end:
The system is called QueryGPT and is built on top of multiple agents each handling a part of the pipeline.
1. First, the Intent Agent interprets user intent and figures out the domain workspace which is relevant to answer the question (e.g., Mobility, Billing, etc).
2. The Table Agent then selects suitable tables using an LLM, which users can also review and adjust.
3. Next, the Column Prune Agent filters out any unnecessary columns from large tables using RAG. This helps the schema fit within token limits.
4. Finally, QueryGPT uses Few-Shot Prompting with selected SQL samples and schemas to generate the query.
QueryGPT reduced query authoring time from 10 minutes to 3, saving over 140,000 hours annually!
Link to the full article
Here’s how they built the system end-to-end:
The system is called QueryGPT and is built on top of multiple agents each handling a part of the pipeline.
1. First, the Intent Agent interprets user intent and figures out the domain workspace which is relevant to answer the question (e.g., Mobility, Billing, etc).
2. The Table Agent then selects suitable tables using an LLM, which users can also review and adjust.
3. Next, the Column Prune Agent filters out any unnecessary columns from large tables using RAG. This helps the schema fit within token limits.
4. Finally, QueryGPT uses Few-Shot Prompting with selected SQL samples and schemas to generate the query.
QueryGPT reduced query authoring time from 10 minutes to 3, saving over 140,000 hours annually!
Link to the full article
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🔴 How to MASTER a programming language using ChatGPT: 📌
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT 👇👇
https://t.me/free4unow_backup/687
Master DSA 👇👇
https://t.me/dsabooks/156
Like for more ❤️
#ai
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
How to Create Resume using ChatGPT 👇👇
https://t.me/free4unow_backup/687
Master DSA 👇👇
https://t.me/dsabooks/156
Like for more ❤️
#ai
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Powerful Impacts of AI on the Job Market You Need to Know
Artificial Intelligence is not a recent innovation. Even though its current application is highly groundbreaking, It has been transforming jobs for decades. In what ways did AI transform jobs in the early years?
Initially, Artificial Intelligence and machine learning applied automation only to repetitive, manual tasks in industries such as manufacturing and retail.
However, with the increasing maturity of AI, the tasks it performed and took over became progressively more complex, shifting from finance and other healthcare-related sectors where human judgment came into the picture.
....read full article
Artificial Intelligence is not a recent innovation. Even though its current application is highly groundbreaking, It has been transforming jobs for decades. In what ways did AI transform jobs in the early years?
Initially, Artificial Intelligence and machine learning applied automation only to repetitive, manual tasks in industries such as manufacturing and retail.
However, with the increasing maturity of AI, the tasks it performed and took over became progressively more complex, shifting from finance and other healthcare-related sectors where human judgment came into the picture.
....read full article
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You can use ChatGPT to make money online.
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Prompt: "I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?"
2. Create Online Course Material:
Make detailed and educational online course content.
Prompt: "I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?"
Read more......
Here are 10 prompts by ChatGPT
1. Develop Email Newsletters:
Make interesting email newsletters to keep audience updated and engaged.
Prompt: "I run a local community news website. Can you help me create a weekly email newsletter that highlights key local events, stories, and updates in a compelling way?"
2. Create Online Course Material:
Make detailed and educational online course content.
Prompt: "I'm creating an online course about basic programming for beginners. Can you help me generate a syllabus and detailed lesson plans that cover fundamental concepts in an easy-to-understand manner?"
Read more......
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Machine Learning with Decision Trees and Random Forest 📝.pdf
1.8 MB
Machine Learning with Decision Trees and Random Forest 📝.pdf
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Data Scientist:
Focuses on data cleaning, preprocessing, and exploratory data analysis (EDA).
Utilizes statistical modeling, hypothesis testing, and machine learning model development.
AI Engineer: - Specializes in model deployment, integration, and optimizing model performance.
Focuses on data cleaning, preprocessing, and exploratory data analysis (EDA).
Utilizes statistical modeling, hypothesis testing, and machine learning model development.
AI Engineer: - Specializes in model deployment, integration, and optimizing model performance.
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Top 5 key developments happening today in the AI and tech space.
1. OpenAI raised $6.6 billion, reaching a valuation of $157 billion, highlighting investor interest in generative AI.
2. Nvidia reported record quarterly revenue of $30 billion, with a 154% increase in data center revenue driven by AI demand.
3. New AI coding assistants like Poolside AI ($626M) and Magic ($465M) are enhancing developer productivity through advanced tools.
4. The White House launched a task force to coordinate policies on AI regulation, focusing on economic and environmental concerns.
5. AI adoption is surging across industries, with significant growth seen in healthcare, finance, and customer service sectors.
1. OpenAI raised $6.6 billion, reaching a valuation of $157 billion, highlighting investor interest in generative AI.
2. Nvidia reported record quarterly revenue of $30 billion, with a 154% increase in data center revenue driven by AI demand.
3. New AI coding assistants like Poolside AI ($626M) and Magic ($465M) are enhancing developer productivity through advanced tools.
4. The White House launched a task force to coordinate policies on AI regulation, focusing on economic and environmental concerns.
5. AI adoption is surging across industries, with significant growth seen in healthcare, finance, and customer service sectors.
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AI as a life saver:
1. ChatGPT - thesis, essay, writing
2. Scite and perplexity - literature review
3. Consesus - latest research paper
4. Gemini - coding and technical
5. Claude AI - Analysis data, comparison data, literature review
1. ChatGPT - thesis, essay, writing
2. Scite and perplexity - literature review
3. Consesus - latest research paper
4. Gemini - coding and technical
5. Claude AI - Analysis data, comparison data, literature review
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