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- New AI model of Google and Elon's doubles down on Tesla robotaxis
New AI model of Google and Elon's doubles down on Tesla robotaxis
Also, a public version of DreamStudio + Samsung developing ChatGPT like AI and more...
Welcome to the AiSuite created and delivered by Sharyph
📒In today's edition:
🧠 Top Stories
⚡️ Trending AI Tools
👨💻 In-Depth Post
🎬️ AI Tutorial
Read time - 4 minutes
Today’s AI Tool
Engage AI writing comments on LinkedIn.
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🧠 Top Stories
1. Google’s newest A.I. model uses nearly five times more text data for training than its predecessor
Google said in a blog post about PaLM 2 that the model uses a “new technique” called “compute-optimal scaling.” That makes the LLM “more efficient with overall better performance, including faster inference, fewer parameters to serve, and a lower serving cost.”
PaLM 2 is more powerful than any existing model, based on public disclosures. Facebook’s LLM called LLaMA, announced in February, is trained on 1.4 trillion tokens. The last time OpenAI shared ChatGPT’s training size was with GPT-3, when the company said it was trained on 300 billion tokens at the time. OpenAI released GPT-4 in March and said it exhibits “human-level performance” on many professional tests.
2. Elon Musk doubles down on Tesla robotaxis in TV interview
Tesla held its annual meeting Tuesday afternoon after the market closed. Tesla CEO Elon Musk told excited attendees that the Cybertruck would be produced in 2023 and that he would drive one.
He confirmed a reduction in silicon carbide power electronics in drive units and presented the company's humanoid robotics program.
He also said "We're now at the point where the car can drive on highways and in cities with and where a human dimension is extremely rare. So I mean, just—I was able to drive for several days, just dropping a navigation pin in random locations in the greater Austin area with no interventions. And the same in San Francisco, which is a very difficult place to drive. So I mean, it's—you’ve got bus lanes, one-way streets. You know, it's quite a challenging homeless situation,"
3. Stability AI has released StableStudio, a public version of DreamStudio.
Stability AI is open-sourcing DreamStudio, a commercial interface for its AI image generator model, Stable Diffusion.
Stability AI announced Wednesday that StableStudio "marks a fresh chapter" for the platform and will demonstrate the company's "dedication to advancing open-source development."
It lets community developers tweak the interface, which could benefit the company.
In its press release, Stability AI stressed community building: “From enabling local-first development to experimenting with a new plugin system, we've tried hard to make things extensible for external developers.”
4. Samsung is Developing ChatGPT-like AI
Samsung and Naver are building a ChatGPT-like generative AI platform.
This AI tool will be used internally by Samsung employees, unlike ChatGPT.
Samsung learned the hard way that ChatGPT in the workplace is dangerous.
When a few employees used ChatGPT to simplify their work, they didn't realize that the information and code they shared with the generative AI would become part of ChatGPT and be stored on remote servers outside Samsung's control.
5. ChatGPT Plugins are Available for all ChatGPT Plus Users
Story in short
Customers of ChatGPT Plus will have access to more than 70 third-party plugins, including internet access.
You must purchase a subscription to ChatGPT Plus, which is about $20 per month, in order to use these capabilities.
Subscribers can obtain a number of advantages by using these plugins, including:
Real-time information access, including news and stock prices
Retrieve knowledge-based data such as business documents and private notes.
Perform specific tasks, such as ordering food or arranging trips
Find employment opportunities and real estate classifieds
Get customised product suggestions
Convenient experience when purchasing online
Play video games for fun.
⚡️ Trending Tools
Iteration X
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Guidde
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👨💻 In-Depth Post
The Importance of a Data Analyst Portfolio and How you can Build Yours.
Data analysts need a strong portfolio in today's competitive job environment.
Unlike a résumé, a data analyst portfolio shows recruiters, hiring managers, and potential clients how one applies their technical skills in the real world.
A good data analyst portfolio shows an individual's ability to analyse and understand data and how their unique insights and analysis can help firms solve challenges and seize new opportunities.
Job searchers might improve their chances of getting a desired position by providing a visually appealing and diverse portfolio of projects.
Employers need a data analyst portfolio to prove technical skills and experience.
The portfolio helps data analysts stand out from the competition and make a good impression on employers.
This is how I covered the in-depth version:
How to Stand Out in the Job Market
How to show your skills
Key components you should include in your portfolio.
My favorite tips for creating a portfolio
🎬️ Ai Tutorial
Create Visual Docs with AI
You'll discover how to easily create visually appealing documents using Canva Docs and its AI, Magic Write!
This is just one of many new features that Canva recently unveiled.
You'll enjoy using Canva Docs because it functions just like Word while incorporating Canva's powerful visual capabilities.
Include visual components like charts, graphs, images, videos, your own drawings, and other supported external apps.
🥇 InvaluableTreasures of Knowledge
1. ChatGPT Prompts for Data Analysts (get it for free)
2. 300+ AI Tool Database (get it for free)
3. Data Science Roadmap to get started (200+ are learning)
That's all for now! 👍️
If you have any interesting projects or ideas, please reach out to me by responding to this email or by sending me a DM on Twitter @sharyph_
As always, thanks for reading, and see you next time.
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