💡 A New Monster on the Block

Plus: Analyzing and Optimizing Resumes

Read time: 3 minutes (Click underlined topics or headings for links.)

Hey AI Family, happy Tuesday! We like to keep things short and productive at The Edge, so you can get back to your busy life!

Here’s The Breakdown:

  • 💎 𝟛 Tools to Give You The Edge

  • 💡 𝟚 Breaking AI News Rundowns

  • 💻 𝟙 Practical Use of AI

Let’s jump in!

💎 𝟛 Tools to Give You The Edge

Trinka AI: Trinka is an online grammar checker and language correction AI tool for academic and technical writing. The perfect tool for college students

Notion: Notion is an all in one productivity platform. Think, write, and plan. Capture thoughts, manage projects, or even run an entire company — and do it exactly the way you want.

PromptBase: PromptBase is an engine that provides and sells prompts to use AI more accurately and efficiently. Saving both time and money, PromptBase provides suggestive top prompts to maximize enhanced results.

💡Breaking AI News

Nvidia, the world's most valuable chipmaker, is unveiling a range of products and services tied to artificial intelligence (AI).

Nvidia is up over 170% year to date and is now valued at a 1 trillion dollar market. Check out the chart.

The new products they are introducing include a new robotics design, gaming capabilities, advertising services, and networking technology.

Jensen Huang, Nvidia’s CEO, revealed an AI supercomputer platform called the DGX GH200. They are shifting away from being a GPU manufacturer and becoming an AI behemoth.

Meet Voyager, the LLM powering AI Minecraft exploration. What a time to be alive!

The AI agent can play indefinitely in the game. It explores new worlds, acquires new skills, and makes discoveries without the need for human interaction.

Voyager is made up of three main parts:

1. An automatic lesson plan that focuses on making new discoveries.

2. A growing library of working code that can remember and perform complicated tasks.

3. A system that uses feedback from its surroundings, learns from its mistakes, and checks itself to make the program better.

I can’t wait for AI Minecraft speed runs💨

💻 Real Life Use Case

Chat GPT Prompt: Analyze and optimize my resume.

Writing a good looking resume is hard, and it takes multiple times to get it right for some people. I know it did for me.

With this Chat GPT prompt you can analyze and optimize your resume to best fit your job description.

🔏 Copy and paste the prompt below ⬇️ 

"Please review and analyze my existing resume (indicated by #resume). Adapt and modify it to align with the roles and responsibilities outlined in the provided “job description” (marked as #Jd) I am interested in applying for. If possible, present the information in strong, action-oriented bullet points. However, if there are numerous bullet points, combine related ones for conciseness. To increase the compatibility with Applicant Tracking Systems (ATS), add relevant skills and deliverables. Wherever possible, incorporate the specified keywords (denoted by #Keywords) into the revised resume. 

Keep in mind that the language of the resume should be:

1. Specific rather than general.
2. Active instead of passive.
3. Clear and straightforward, aiming to express rather than impress.
4. Fact-based, with a focus on quantifiable and qualifiable data.
5. Catered to those who scan quickly.

Additionally, adhere to these formatting guidelines:

1. Maintain consistency in format and content.
2. Ensure the document is easy to read and follow, balancing white space effectively.
3. Present skills and deliverables succinctly, ideally within one to two sentences.
4. List headings such as 'Experience' in order of importance.
5. Within each heading, list information in reverse chronological order, starting with the most recent."

Daily Definition

Convolutional Neural Networks (CNN)

'Convolutional Neural Networks' (CNNs) are a type of deep learning model primarily used for image processing, classification, and segmentation. They are inspired by the biological processes of the human brain, specifically the organization of our visual perception.

At their core, CNNs are designed to automatically and adaptively learn spatial hierarchies of features from images. They do this through the use of their distinctive layers - the convolutional layer, pooling layer, and fully connected layer.

For example, if you've ever seen a feature in your phone or digital camera that recognizes faces, that's a CNN at work. It's learned to understand the particular patterns, shapes, and features that together, make up a 'face'.

🔮 AI Inspiration

That’s all for today!

Thanks for your time today. If it is your first time here, welcome. I hope you found value in today’s Edge edition. If you are returning, thank you. It means the world to me that you spend a few minutes of your day with me. If you have any ideas you’d like me to cover in the future, reply to this email.

Thanks for reading see you tomorrow,

Best,

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