How to Build Your Career in Artificial Intelligence by Andrew Ng!
This books includes:
✅ Steps to Career Growth.
✅ Learning Technical Skills for a Promising AI Career.
✅ Should You Learn Math to Get a Job in AI?
✅ Finding Projects that Complement
✅ Building a Portfolio of Projects that Shows Skill Progression.
✅ A Simple Framework for Starting Your AI Job Search.
✅ Finding the Right AI Job for You.
Good read for beginners 🚀
This books includes:
✅ Steps to Career Growth.
✅ Learning Technical Skills for a Promising AI Career.
✅ Should You Learn Math to Get a Job in AI?
✅ Finding Projects that Complement
✅ Building a Portfolio of Projects that Shows Skill Progression.
✅ A Simple Framework for Starting Your AI Job Search.
✅ Finding the Right AI Job for You.
Good read for beginners 🚀
This media is not supported in your browser
VIEW IN TELEGRAM
Jensen introduced GPUs like Steve Jobs used to introduce iPhones! 🚀
Nvidia Introduced Blackwell. It's not gonna be the only chip; it’s a platform. —Jensen Huang, CEO, NVIDIA
Blackwell platform for trillion-parameter scale generative AI.
Main features:
- AI Superchip, 208B transistors
- 2nd Gen Transformer Engine: FP4/FP6 Tensor Core
- 5th Generation NVLink: Scales to 576 GPUs
- RAS Engine: 100% In-System Self-Test
- Secure AI: Full Performance Encryption
- Decompression Engine: 800GB/sec
The most powerful GPU in the market. Exciting announcement, from GTC2024.
Nvidia Introduced Blackwell. It's not gonna be the only chip; it’s a platform. —Jensen Huang, CEO, NVIDIA
Blackwell platform for trillion-parameter scale generative AI.
Main features:
- AI Superchip, 208B transistors
- 2nd Gen Transformer Engine: FP4/FP6 Tensor Core
- 5th Generation NVLink: Scales to 576 GPUs
- RAS Engine: 100% In-System Self-Test
- Secure AI: Full Performance Encryption
- Decompression Engine: 800GB/sec
The most powerful GPU in the market. Exciting announcement, from GTC2024.
This week's Ai News
1) Nvidia Launches Next-Generation Blackwell GPUs Amid AI ‘Arms Race’
2) Apple in Talks to License Google Gemini for iPhone.📱
3) Elon Musk ‘goes for a walk’ with Tesla's humanoid robot. 🤖
4) India next big playground for AI: Samsung. 📱
5) Stability AI CEO resigns to ‘pursue decentralized AI’
6) UN passes first global AI resolution. 🌎
7) Elon Musk’s xAI open-source Grok 🐥
1) Nvidia Launches Next-Generation Blackwell GPUs Amid AI ‘Arms Race’
2) Apple in Talks to License Google Gemini for iPhone.📱
3) Elon Musk ‘goes for a walk’ with Tesla's humanoid robot. 🤖
4) India next big playground for AI: Samsung. 📱
5) Stability AI CEO resigns to ‘pursue decentralized AI’
6) UN passes first global AI resolution. 🌎
7) Elon Musk’s xAI open-source Grok 🐥
Ai revolution and learning path 📚
The current AI revolution is exhilarating 🚀, pushing the boundaries of what's possible across different sectors. Yet, it's essential to anchor oneself in the foundational elements that enable these advancements:
- Neural Networks: Grasp the basics and variations, understanding how they process information and learning about key types like CNNs and RNNs 🧠.
- Loss Functions and Optimization: Familiarize yourself with how loss functions measure model performance and the role of optimization techniques like gradient descent in improving accuracy 🔍.
- Activation Functions: Learn about the significance of activation functions such as ReLU and Sigmoid in capturing non-linear patterns 🔑.
- Training and Evaluation: Master the nuanced art of model training, from preventing overfitting with regularization to fine-tuning hyperparameters for optimal performance 🎯.
- Data Handling: Recognize the importance of data preprocessing and augmentation in enhancing model robustness. 💾
- Stay Updated: Keep an eye on emerging trends, like transformers and GANs, and understand the ethical considerations in AI application. 🌐
Immersing yourself in these core areas not only prepares you for the ongoing AI wave but sets a solid foundation for navigating future advancements. Balancing a strong grasp of fundamental concepts with an awareness of new technologies is key to thriving in the AI domain.
The current AI revolution is exhilarating 🚀, pushing the boundaries of what's possible across different sectors. Yet, it's essential to anchor oneself in the foundational elements that enable these advancements:
- Neural Networks: Grasp the basics and variations, understanding how they process information and learning about key types like CNNs and RNNs 🧠.
- Loss Functions and Optimization: Familiarize yourself with how loss functions measure model performance and the role of optimization techniques like gradient descent in improving accuracy 🔍.
- Activation Functions: Learn about the significance of activation functions such as ReLU and Sigmoid in capturing non-linear patterns 🔑.
- Training and Evaluation: Master the nuanced art of model training, from preventing overfitting with regularization to fine-tuning hyperparameters for optimal performance 🎯.
- Data Handling: Recognize the importance of data preprocessing and augmentation in enhancing model robustness. 💾
- Stay Updated: Keep an eye on emerging trends, like transformers and GANs, and understand the ethical considerations in AI application. 🌐
Immersing yourself in these core areas not only prepares you for the ongoing AI wave but sets a solid foundation for navigating future advancements. Balancing a strong grasp of fundamental concepts with an awareness of new technologies is key to thriving in the AI domain.
This Week's AI News 🌏
1) OpenAI voice cloning new feature called Voice Engine. 🗣
2) Elon’s x.ai launch latest generative AI, Grok-1.5 , Elon musk’s grok can now code and do maths 📚
3) Microsoft And OpenAI Partnering On Stargate, A $100B U.S. Data Center 🚀
4) Google launch VLOGGER AI transforms images into avatar
5) Meta is planning to make WhatsApp smarter, will soon add AI chatbot, photo editor and more.
6) OpenAI tries going Hollywood - Sam Altman is looking to win over movie studios with Sora, OpenAI's new video-generating tool.
7) Nvidia new business entry generative AI nurse for $9/hour👩🏻⚕️
1) OpenAI voice cloning new feature called Voice Engine. 🗣
2) Elon’s x.ai launch latest generative AI, Grok-1.5 , Elon musk’s grok can now code and do maths 📚
3) Microsoft And OpenAI Partnering On Stargate, A $100B U.S. Data Center 🚀
4) Google launch VLOGGER AI transforms images into avatar
5) Meta is planning to make WhatsApp smarter, will soon add AI chatbot, photo editor and more.
6) OpenAI tries going Hollywood - Sam Altman is looking to win over movie studios with Sora, OpenAI's new video-generating tool.
7) Nvidia new business entry generative AI nurse for $9/hour👩🏻⚕️
This media is not supported in your browser
VIEW IN TELEGRAM
📢 OpenAI just launched the Voice Engine
OpenAI introduces 'Voice Engine,' a groundbreaking voice cloning technology capable of replicating a person's voice from just a 15-second sample.
This is scary and cool at the same time!
Soon, we all need to ask for passcodes to trust phone calls from family members👀
On the bright side, Modi, Kejriwal, and Rahul Gandhi will tell me some jokes daily.😆
OpenAI introduces 'Voice Engine,' a groundbreaking voice cloning technology capable of replicating a person's voice from just a 15-second sample.
This is scary and cool at the same time!
Soon, we all need to ask for passcodes to trust phone calls from family members👀
On the bright side, Modi, Kejriwal, and Rahul Gandhi will tell me some jokes daily.😆
95% of Machine Learning solutions in the real world are for tabular data.
Not LLMs, not transformers, not agents, not fancy stuff.
Learning to do feature engineering and build tree-based models will open a ton of opportunities.
Not LLMs, not transformers, not agents, not fancy stuff.
Learning to do feature engineering and build tree-based models will open a ton of opportunities.
AI will improve Programming but will it ever replace Professional programmer 🧑🏻💻
Current evidence says no.
1. AI can turn non-coders into average programmers
2. AI can help average programmers become better
3. AI can't help expert programmers much
Current evidence says no.
1. AI can turn non-coders into average programmers
2. AI can help average programmers become better
3. AI can't help expert programmers much
This week's Ai News 🌏
🔥 AI is on fire this week with incredible new releases!
1) GPT-4 Turbo with Vision is now generally available in the API.
2) Gemini 1.5 Pro can now Listen!
3) Mistral releases a new MoE model with a torrent link!
4) Google Ai Magic Editor free for all Google Photo users.
5) Google launch google vids create customized video with Ai
6) Google unveil Imagen 2 DALL-E, Midjourney competitor.
7) Humane Ai Pin launch subscription costs $24/month
8) WhatsApp Messenger integrated the Llma2 model in chat.
🔥 AI is on fire this week with incredible new releases!
1) GPT-4 Turbo with Vision is now generally available in the API.
2) Gemini 1.5 Pro can now Listen!
3) Mistral releases a new MoE model with a torrent link!
4) Google Ai Magic Editor free for all Google Photo users.
5) Google launch google vids create customized video with Ai
6) Google unveil Imagen 2 DALL-E, Midjourney competitor.
7) Humane Ai Pin launch subscription costs $24/month
8) WhatsApp Messenger integrated the Llma2 model in chat.
🥁 Llama3 is out 🥁
Meta has finally unveiled the long-anticipated Llama 3.
•Token count increased from 32K to 128K between #Llama2 and Llama3.
•All models in Llama 3, including the smallest 8B model, now utilize Grouped Query Attention (GQA).
•Context window size expanded to 8192 tokens, up from 4096 in Llama 2 and 2048 in Llama 1.
•Llama 3 was trained on a massive 15 trillion-token dataset, compared to Llama 2's 2 trillion tokens.
•Openly available pre-trained and fine-tuned models include 8B and 70B parameter variants.
Resources you need to explore more 👇
Github👉https://github.com/meta-llama/llama3
Blog👉 https://ai.meta.com/blog/meta-llama-3/
Meta has finally unveiled the long-anticipated Llama 3.
•Token count increased from 32K to 128K between #Llama2 and Llama3.
•All models in Llama 3, including the smallest 8B model, now utilize Grouped Query Attention (GQA).
•Context window size expanded to 8192 tokens, up from 4096 in Llama 2 and 2048 in Llama 1.
•Llama 3 was trained on a massive 15 trillion-token dataset, compared to Llama 2's 2 trillion tokens.
•Openly available pre-trained and fine-tuned models include 8B and 70B parameter variants.
Resources you need to explore more 👇
Github👉https://github.com/meta-llama/llama3
Blog👉 https://ai.meta.com/blog/meta-llama-3/
This week's Ai news 🐥
1. MetaAIs Llama3 is out with very exciting features.
2. OpenAI introduces Batch Processing API recently.
3. Limitless Pendant: Your Personalised AI assistant
4. Microsoft’s WizardLM-2 Outperforms GPT-4 in performance.
5. AI in Cybersecurity: Microsoft's new AI-powered tool helps cybersecurity teams track and neutralize hackers, enhancing security operations..
1. MetaAIs Llama3 is out with very exciting features.
2. OpenAI introduces Batch Processing API recently.
3. Limitless Pendant: Your Personalised AI assistant
4. Microsoft’s WizardLM-2 Outperforms GPT-4 in performance.
5. AI in Cybersecurity: Microsoft's new AI-powered tool helps cybersecurity teams track and neutralize hackers, enhancing security operations..
Follow the Ai Jobs channel on WhatsApp https://whatsapp.com/channel/0029VaE0DrvDZ4LgCbLKkW43
(Edit: lots of Internships and Freshers jobs are on the way! )
Ai Jobs https://www.tg-me.com/AiIndiaJobs
(Edit: lots of Internships and Freshers jobs are on the way! )
Ai Jobs https://www.tg-me.com/AiIndiaJobs
WhatsApp.com
Ai Jobs | WhatsApp Channel
Ai Jobs WhatsApp Channel. Daily Jobs and Internship openings post in
📌Artificial Intelligence
📌Data Science
📌Python
📌Data Engineering & BI
📌Big Data and Automation
Not to Profit Community by Industry professionals. We are connecting job seekers to Companies!…
📌Artificial Intelligence
📌Data Science
📌Python
📌Data Engineering & BI
📌Big Data and Automation
Not to Profit Community by Industry professionals. We are connecting job seekers to Companies!…
Forwarded from Deep Learning, Computer Vision and NLP (Artificial Intelligence)
Microsoft just casually shared their new Phi-3 LLMs less than a week after Llama 3 release. Based on the benchmarks in technical report (https://arxiv.org/abs/2404.14219), even the smallest Phi-3 model beats Llama 3 8B despite being less than half the size.
Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion)
Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B.
Despite being small enough to be deployed on a phone (according to report), it matches the performance of the much larger Mixtral 8x7B and GPT-3.5. (Phi-3 mini can be quantized to 4-bits, so it only requires ≈ 1.8GB of memory.)
What is the secret sauce? According to the technical report, it's dataset quality over quantity: "heavily filtered web data and synthetic data".
Next to the 4k context-window version, there's also a phi-3-mini-128K model that supports up to 128k tokens.
Fun fact: Phi-3 uses the same tokenizer with a vocabulary size of 32,064 as Llama 2.
Phi-3 has "only" been trained on 5x fewer tokens than Llama 3 (3.3 trillion instead of 15 trillion)
Phi-3-mini less has "only" 3.8 billion parameters, less than half the size of Llama 3 8B.
Despite being small enough to be deployed on a phone (according to report), it matches the performance of the much larger Mixtral 8x7B and GPT-3.5. (Phi-3 mini can be quantized to 4-bits, so it only requires ≈ 1.8GB of memory.)
What is the secret sauce? According to the technical report, it's dataset quality over quantity: "heavily filtered web data and synthetic data".
Next to the 4k context-window version, there's also a phi-3-mini-128K model that supports up to 128k tokens.
Fun fact: Phi-3 uses the same tokenizer with a vocabulary size of 32,064 as Llama 2.
Computer Vision Bootcamp 🤖
+40 hrs sessions.
+12 Weeks.
+13 Tools & Technology..
+7 Projects.
+5 Case studies
+5 Skills.
+5 Domains.
+7 Homework Assignments.
Duration: 3 months
📌Remote and weekend sessions.
📌Starting from basics.
📌Get Certificate.
For registrations: https://aiindia.ai/cv-bootcamp/
To attend 1st session on Python for Computer Vision: https://chat.whatsapp.com/BibIwuuUEWrGEWdZHYluNe
+40 hrs sessions.
+12 Weeks.
+13 Tools & Technology..
+7 Projects.
+5 Case studies
+5 Skills.
+5 Domains.
+7 Homework Assignments.
Duration: 3 months
📌Remote and weekend sessions.
📌Starting from basics.
📌Get Certificate.
For registrations: https://aiindia.ai/cv-bootcamp/
To attend 1st session on Python for Computer Vision: https://chat.whatsapp.com/BibIwuuUEWrGEWdZHYluNe
❗Generative AI is EVERYWHERE right now.
So I've searched the internet for the best 10 FREE digital trainings available to really get started with #GenAI.
🔍 Beginner Level Courses:
1. Fundamentals of Generative AI for Beginners with Curtis Morton on Coursera - https://www.coursera.org/learn/aws-generative-ai-for-beginners
2. Introduction to Generative AI by Google Cloud - https://www.cloudskillsboost.google/course_templates/536
3. Generative AI for Everyone with Andrew Ng on Coursera - https://www.coursera.org/learn/generative-ai-for-everyone
4. Snowflake Data Academy for Generative AI on Snowflake - https://www.snowflake.com/data-cloud-academy-generative-ai-llm/
5. Foundations of Prompt Engineer on AWS SkillBuilder (FREE) - https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering
6. Introduction to Large Language Models (LLMs)* with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models?action=enroll
🛑 Intermediate/Advanced Level Courses:
1. Encoder - Decoder Architecture with Google* on Coursera - https://www.coursera.org/learn/encoder-decoder-architecture
2. Attention Mechanisms with Google* on Coursera - https://www.coursera.org/learn/attention-mechanism
3. Probabalistic Deep Learning* with TensorFlow and Imperial College London on Coursera - https://www.coursera.org/learn/probabilistic-deep-learning-with-tensorflow2
4. Generative AI with Large Language Models* with DeepLearning.AI on Coursera - Introduction to Large Language Models (LLMs) with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models
*Any course I've marked with an * can be accessed as a part of a free trial - so please pick wisely! Anything without the * is free of charge and should be consumed!
Oftentimes, Coursera will allow you to take these courses FREE as an audit of the content.
♻ Did you find this post helpful? Don't gate keep - share it with your network!
Join the Ai India Community! (https://linktr.ee/AiCommunity)
So I've searched the internet for the best 10 FREE digital trainings available to really get started with #GenAI.
🔍 Beginner Level Courses:
1. Fundamentals of Generative AI for Beginners with Curtis Morton on Coursera - https://www.coursera.org/learn/aws-generative-ai-for-beginners
2. Introduction to Generative AI by Google Cloud - https://www.cloudskillsboost.google/course_templates/536
3. Generative AI for Everyone with Andrew Ng on Coursera - https://www.coursera.org/learn/generative-ai-for-everyone
4. Snowflake Data Academy for Generative AI on Snowflake - https://www.snowflake.com/data-cloud-academy-generative-ai-llm/
5. Foundations of Prompt Engineer on AWS SkillBuilder (FREE) - https://explore.skillbuilder.aws/learn/course/external/view/elearning/17763/foundations-of-prompt-engineering
6. Introduction to Large Language Models (LLMs)* with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models?action=enroll
🛑 Intermediate/Advanced Level Courses:
1. Encoder - Decoder Architecture with Google* on Coursera - https://www.coursera.org/learn/encoder-decoder-architecture
2. Attention Mechanisms with Google* on Coursera - https://www.coursera.org/learn/attention-mechanism
3. Probabalistic Deep Learning* with TensorFlow and Imperial College London on Coursera - https://www.coursera.org/learn/probabilistic-deep-learning-with-tensorflow2
4. Generative AI with Large Language Models* with DeepLearning.AI on Coursera - Introduction to Large Language Models (LLMs) with Google on Coursera - https://www.coursera.org/learn/introduction-to-large-language-models
*Any course I've marked with an * can be accessed as a part of a free trial - so please pick wisely! Anything without the * is free of charge and should be consumed!
Oftentimes, Coursera will allow you to take these courses FREE as an audit of the content.
♻ Did you find this post helpful? Don't gate keep - share it with your network!
Join the Ai India Community! (https://linktr.ee/AiCommunity)
Follow the Ai Jobs channel on WhatsApp https://whatsapp.com/channel/0029VaE0DrvDZ4LgCbLKkW43
(Edit: lots of Internships and Freshers jobs are on the way! )
Ai Jobs https://www.tg-me.com/AiIndiaJobs
(Edit: lots of Internships and Freshers jobs are on the way! )
Ai Jobs https://www.tg-me.com/AiIndiaJobs
WhatsApp.com
Ai Jobs | WhatsApp Channel
Ai Jobs WhatsApp Channel. Daily Jobs and Internship openings post in
📌Artificial Intelligence
📌Data Science
📌Python
📌Data Engineering & BI
📌Big Data and Automation
Not to Profit Community by Industry professionals. We are connecting job seekers to Companies!…
📌Artificial Intelligence
📌Data Science
📌Python
📌Data Engineering & BI
📌Big Data and Automation
Not to Profit Community by Industry professionals. We are connecting job seekers to Companies!…