📢 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.😆

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.

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

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.

Meta introduced AI Chatbot On WhatsApp Now 🚀

To access Meta AI on WhatsApp, simply look for a new icon in the top right corner of your main chat list.

Key Features of Meta AI

1. Conversational Capabilities
2. Image Generation Tool
3. Integration with Microsoft’s Bing

🥁 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/

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​..

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

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.

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

❗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)

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

Ai / Computer Vision Bootcamp🚀

Learn Ai / Computer Vision from Basics to Deployment from IITian and COEPian.

✅ Build Face Recognition ☺️
✅ Build Ai Object detection 🏍️🚇✈️
✅ Building Social Distancing App
✅ Build Automated Invoice reader 📃
✅Image Classification 🍘🥗
✅ Build Application of Computer Vision in Healthcare, Automotive, retail, Manufacturing and Security, Surveillance. 📸

+40 Hrs sessions.
+12 Weeks.
+13 Tools & Technology.
+7 Projects.
+7 Homework Assignments.
+5 Case studies
+5 Skills.
+5 Domains.

📌 Remote and weekend sessions.
📌 Starting from basics.
📌 Get Certificate.

Duration: 3 months

Attend the 1st FREE session on 11th May: https://chat.whatsapp.com/BibIwuuUEWrGEWdZHYluNe

For registrations: https://aiindia.ai/cv-bootcamp/

Companies won't go from 100 developers down to 0 because of AI.

They will, however, solve 10x more problems with the same team. 10x more software, 10x higher quality.

We may see a net gain in software jobs, not a decrease.

OpenAI released GPT-4o🔥

It's the JARVIS we all dreamed of.

It can reason across text, audio, and video in real time. It's extremely versatile, fun to play with and is a step towards a much more natural form of human computer interaction (and even human computer computer interaction)
Checkout: https://openai.com/index/hello-gpt-4o/

💡Ai research Funding opportunity—share with your ML networks💡

CSET Georgetown just opened their 2nd call for research ideas, this time on expanding the toolkit for frontier model releases. Expressions of interest due Jul 3. This is going to be a good opportunity for students and researchers. Full details ➡️ https://cset.georgetown.edu/wp-content/uploads/FRG-Call-for-Research-Ideas-Expanding-the-Toolkit-for-Frontier-Model-Releases.pdf

Microsoft releases PCs ‘designed for AI, going to be completely new experience!

It will be called "Copilot+ PC”, which uses chips made by Qualcomm rather than Intel, and will have a battery life of 22 hours, Microsoft said, which is slightly ahead of what Apple delivers with its MacBook Pro and MacBook Air. Their new feature called RECALL is going to be very exciting.
https://blogs.microsoft.com/blog/2024/05/20/introducing-copilot-pcs/

One of the best courses on LLMs

The LLM course is divided into 3 parts:

🧩 LLM Fundamentals covers essential knowledge about mathematics, Python, and neural networks.
🧑‍🔬 The LLM Scientist focuses on building the best possible LLMs using the latest techniques.
👷 The LLM Engineer focuses on creating LLM-based applications and deploying them.
https://github.com/mlabonne/llm-course

Doordarshan launched AI Anchor named AI KRISHI and AI BHOOMI 🚀

These anchors can speak upto +50 language, These AI anchors making Doordarshan Kisan the first government TV channel in India to employ artificial intelligence in this way. The AI anchors are designed to look and function just like human presenters, capable of delivering news 24/7 without breaks.

🎉 Google has an open sourced Python based rapid UI creation library: mesop.

It is also used internally at Google to create internal apps by devs who are not well versed with frontend development.

pip3 install mesop

👉 Docs: https://google.github.io/mesop/

⚙️ GitHub: https://github.com/google/mesop

⚡️ Checkout the Colab Notebook: https://colab.research.google.com/github/google/mesop/blob/main/notebooks/mesop_colab_getting_started.ipynb

🦋 GenAI/LLM support straight out of the box for Chat app in mesop 👉 Demo: https://google.github.io/mesop/demo/