How can you utilize DeepSeek R1 for personal performance?

Serhii Melnyk

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I constantly wished to gather statistics about my productivity on the computer system. This concept is not brand-new; there are a lot of apps developed to resolve this problem. However, all of them have one considerable caution: you must send out extremely sensitive and individual details about ALL your activity to "BIG BROTHER" and trust that your information will not wind up in the hands of individual data reselling companies. That's why I chose to create one myself and make it 100% open-source for complete openness and trustworthiness - and you can utilize it too!

Understanding your performance focus over a long duration of time is vital due to the fact that it provides important insights into how you allocate your time, determine patterns in your workflow, and discover areas for enhancement. Long-term performance tracking can help you identify activities that consistently add to your objectives and those that drain your energy and time without significant results.

For instance, tracking your productivity trends can reveal whether you're more efficient during certain times of the day or in particular environments. It can likewise assist you assess the long-term effect of adjustments, like changing your schedule, adopting new tools, or tackling procrastination. This data-driven method not just empowers you to enhance your daily routines however likewise helps you set reasonable, attainable objectives based upon evidence instead of assumptions. In essence, comprehending your productivity focus with time is a critical action towards creating a sustainable, surgiteams.com efficient work-life balance - something Personal-Productivity-Assistant is developed to support.

Here are main functions:

- Privacy & Security: social.japrime.id No details about your activity is sent over the web, making sure complete personal privacy.

- Raw Time Log: The application stores a raw log of your activity in an open format within a designated folder, offering full openness and user control.

- AI Analysis: An AI design examines your long-term activity to uncover hidden patterns and supply actionable insights to boost productivity.

- Classification Customization: Users can by hand adjust AI classifications to better reflect their personal efficiency goals.

- AI Customization: Today the application is using deepseek-r1:14 b. In the future, users will be able to select from a variety of AI models to suit their particular requirements.

- Browsers Domain Tracking: The application likewise tracks the time invested in private websites within browsers (Chrome, yogaasanas.science Safari, Edge), using a detailed view of online activity.


But before I continue explaining how to have fun with it, let me say a couple of words about the main killer feature here: DeepSeek R1.

DeepSeek, a Chinese AI startup established in 2023, has just recently amassed significant attention with the release of its latest AI model, R1. This model is noteworthy for its high efficiency and cost-effectiveness, positioning it as a formidable competitor to established AI models like OpenAI's ChatGPT.

The design is open-source and can be worked on computers without the need for substantial computational resources. This democratization of AI innovation enables individuals to experiment with and examine the design's capabilities firsthand

DeepSeek R1 is not excellent for everything, there are reasonable concerns, but it's perfect for our productivity tasks!

Using this model we can categorize applications or websites without sending out any information to the cloud and hence keep your data protect.

I strongly believe that Personal-Productivity-Assistant might result in increased competitors and drive development throughout the sector of similar productivity-tracking services (the integrated user base of all time-tracking applications reaches tens of millions). Its open-source nature and complimentary availability make it an outstanding alternative.

The design itself will be provided to your computer through another job called Ollama. This is done for benefit and much better resources allowance.

Ollama is an open-source platform that enables you to run large language models (LLMs) locally on your computer, enhancing information personal privacy and control. It's suitable with macOS, Windows, and Linux operating systems.

By running LLMs in your area, Ollama ensures that all data processing occurs within your own environment, getting rid of the requirement to send sensitive details to external servers.

As an open-source project, Ollama gain from constant contributions from a vibrant neighborhood, ensuring routine updates, feature enhancements, and robust assistance.

Now how to set up and run?

1. Install Ollama: Windows|MacOS

2. Install Personal-Productivity-Assistant: Windows|MacOS

3. First start can take some, due to the fact that of deepseek-r1:14 b (14 billion params, chain of ideas).

4. Once set up, a black circle will appear in the system tray:.


5. Now do your routine work and wait a long time to gather good quantity of stats. Application will keep quantity of second you invest in each application or website.

6. Finally generate the report.

Note: Generating the report requires a minimum of 9GB of RAM, and the procedure might take a couple of minutes. If memory use is an issue, it's possible to switch to a smaller sized model for more effective resource management.

I 'd love to hear your feedback! Whether it's function requests, bug reports, or your success stories, join the community on GitHub to contribute and prawattasao.awardspace.info help make the tool even better. Together, shiapedia.1god.org we can form the future of performance tools. Check it out here!

GitHub - smelnyk/Personal-Productivity-Assistant: Personal Productivity Assistant is a.

Personal Productivity Assistant is an advanced open-source application committing to enhancing people focus ...

github.com

About Me

I'm Serhii Melnyk, with over 16 years of experience in creating and carrying out high-reliability, scalable, and premium jobs. My technical proficiency is matched by strong team-leading and communication skills, which have helped me successfully lead teams for over 5 years.

Throughout my profession, I've concentrated on developing workflows for garagesale.es artificial intelligence and data science API services in cloud infrastructure, along with creating monolithic and Kubernetes (K8S) containerized microservices architectures. I have actually also worked thoroughly with high-load SaaS options, REST/GRPC API implementations, and CI/CD pipeline style.

I'm passionate about product shipment, and my background consists of mentoring group members, performing thorough code and design evaluations, and managing individuals. Additionally, I've worked with AWS Cloud services, in addition to GCP and Azure integrations.