The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

Video: Beating Big Tech Coding Interviews

Certo Modo • 0 implied HN points • 24 Aug 23
🕹 Technology Programming Interviews
  1. The post discusses tactics for excelling in coding interviews at big tech companies.
  2. The video presentation offers valuable insights on preparing for challenging parts of the interview process, particularly focusing on technical aspects.
  3. The talk was delivered at a Vegas Programmers Meetup and acts as a complement to a previous post about obtaining an SRE role.

Automate Production in Three Steps!

Certo Modo • 0 implied HN points • 07 Sep 23
🕹 Technology Automation Documentation Tools Features Production
  1. Automating manual tasks is crucial for growth, as manual work can consume time needed for innovation and advancement.
  2. Runbooks, as documented step-by-step instructions, are key to delegating work, reducing single points of failure, and ensuring consistency in task execution.
  3. Converting manual scripts into full-fledged software services allows for instant and automated task completion, improving efficiency and reducing human involvement.

It's Time to Stop Using Jenkins

Certo Modo • 0 implied HN points • 19 Sep 23
🕹 Technology CI/CD Automation Security Alternatives
  1. Consider alternatives to Jenkins for new software projects due to limitations in plugin complexity.
  2. Evaluate your R&D department's expertise and resources to manage Jenkins installation and perform updates.
  3. Assess the security risks and maintenance requirements of Jenkins installations to prevent potential breaches.

Running DroneCI

Certo Modo • 0 implied HN points • 30 Oct 23
🕹 Technology CI/CD Continuous Integration CLI Software Engineering
  1. Drone CI is a self-service Continuous Integration platform that simplifies CI pipeline configuration by using a .drone.yml file in the project's root directory.
  2. Make sure the Drone service is public-facing with port 443 accessible, and use a read-through cache with Docker to ensure resilience to Docker Hub outages.
  3. Add yourself as an administrator to new Drone installations to have full access to API features, set up cron interval as needed, and utilize the CLI tool for more advanced capabilities.
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Primer on Machine Learning Interviews for Software Engineers

ExpandAI Newsletter • 0 implied HN points • 30 Jun 23
🕹 Technology Machine Learning Software Engineering Mathematics Neural Networks Systems Engineering
  1. Software engineers in the future will likely require strong machine learning backgrounds.
  2. Machine learning interviews for software engineers cover software engineering, mathematics, and machine learning topics.
  3. Preparing for machine learning interviews should focus on optimizing for both software and machine learning skills.

NVIDIA's Vision for AI

Gonzo ML • 0 implied HN points • 08 Jan 25
🕹 Technology Artificial Intelligence Computing Hardware Software Gaming
  1. NVIDIA is leading the way in AI technology, and their new RTX Blackwell chip is really powerful, making gaming and other processes faster and more efficient.
  2. Project Digits is an exciting new product that allows for powerful AI processing in a compact and portable form, which could change how we use AI at home.
  3. NVIDIA's focus on world models and agents signals a shift towards more sophisticated AI systems, making it clear they are planning for a future where AI plays a bigger role in daily life.

Perplexity AI Just Killed Google (Just Like Video Killed The Radio Star)

B2B SEO & Growth with Annika Helendi • 0 implied HN points • 10 Feb 24
🕹 Technology AI Search Engine Marketing Tools
  1. Perplexity AI offers direct answers with trusted sources, potentially replacing Google search for many users.
  2. Perplexity AI provides tools for focused searches, better data, and organization, assisting marketers with deep dives and project management.
  3. Consider the Pro plan for benefits like unlimited Copilot queries and enhanced file uploads, useful for in-depth marketing tasks and strategy development.

Your ✅ Monday briefing: Wishing you a happy and relaxing summer

Wadds Inc. newsletter • 0 implied HN points • 24 Jul 23
🕹 Technology AI Media Tools Business Ethics
  1. The Wadds Inc. newsletter is taking a summer break and will return on September 4. It's a good time to relax and enjoy the season!
  2. NME is going back to print because of the renewed interest in vinyl and retro vibes, showing that old-school media still has a place today.
  3. Gen Z prefers social media, especially Instagram, for news instead of traditional media. This marks a big shift in how younger people get their information.

Building DroneCI Pipelines

Certo Modo • 0 implied HN points • 14 Nov 23
🕹 Technology CI/CD DevOps Software Development Monitoring Containers
  1. Each pipeline step in DroneCI can use different container images, allowing for versatile tasks like testing across multiple platforms.
  2. Base64 encoding secrets in DroneCI is a useful technique for securely handling sensitive information like SSH keys.
  3. Monitoring DroneCI pipelines can be enhanced by utilizing Prometheus to track status, duration, and using a Push Gateway to export build metrics.

Extracting Audio from Video

rtnF • 0 implied HN points • 15 Jun 23
🕹 Technology Audio Video Compression
  1. To extract audio from a video, use the command 'ffmpeg -i input.mp4 -vn -acodec copy output-audio.aac'
  2. After extraction, compress the audio with 'ffmpeg -i input.aac -map 0:a:0 -b:a 96k output.mp3'
  3. The process involves two steps: extraction and compression

Make a photo collage without hassle

rtnF • 0 implied HN points • 09 Jun 23
🕹 Technology
  1. Use ImageMagick to create a photo collage without manual hassle
  2. Download and install ImageMagick to easily arrange photos
  3. Customize the command to create a collage and insert it into documents

Descriptive Statistics with Orange

rtnF • 0 implied HN points • 01 Apr 23
🕹 Technology Data Mining Data Analysis Statistics
  1. Descriptive statistics with Orange allows for easy data analysis without needing spreadsheet equations or code.
  2. The mean and median provide insight into average building height, helping to understand outlier influence on data.
  3. Understanding dispersion, like the coefficient of variation, reveals how data points spread out relative to the mean.

How to Show Your Value In DevOps/SRE

Certo Modo • 0 implied HN points • 14 Dec 23
🕹 Technology DevOps Business impact Operational Efficiency Communication Strategies
  1. Focus on demonstrating the impact of your work to the business in terms of time and money saved/made compared to what you are being paid.
  2. Communicate the importance of your work to your peers and stakeholders by adding value propositions to your tasks, measuring impact, and tracking significant wins with supporting metrics.
  3. Consistently delivering impactful work, improving organizational perception, and effective communication can lead to growth opportunities such as team expansion, promotions, and better job offers.

✅ Monday briefing: Socially Mobile is open for applications for the final cohort of 2023

Wadds Inc. newsletter • 0 implied HN points • 03 Jul 23
🕹 Technology Artificial Intelligence Social media Public Relations Media Communication
  1. Socially Mobile is accepting applications for its last cohort of 2023, aiming to help people from diverse backgrounds improve their PR skills. The deadline to apply is August 20, and classes start on September 14.
  2. AI tools for identifying fake content are not very reliable, which raises concerns about misinformation online. It's important to be cautious and critical about what we see and share.
  3. LinkedIn has updated its algorithm to boost posts that provide useful knowledge and insights. This change means that sharing advice relevant to your expertise can help your posts reach a wider audience.

Image Data Augmentation using Albumentations

The Beep • 0 implied HN points • 08 May 24
🕹 Technology Machine Learning Computer Vision Data science Software Development Artificial Intelligence
  1. Data augmentation helps improve deep learning models by artificially increasing the size and diversity of training data. This makes models better at understanding new, unseen data.
  2. It's especially useful when there's a limited amount of training data or the data has lots of variations. For example, if images are taken in different lighting or angles, data augmentation can help the model learn to handle those differences.
  3. Albumentations is a fast tool for applying these augmentations in image processing. It allows users to easily create different versions of images to enhance model training.

The Scenic Route to Software: Code Generation for Non-Traditional Developers

Nick Savage • 0 implied HN points • 08 Jan 25
🕹 Technology Coding AI Tools Software Development Automation
  1. AI coding tools like Cursor can help non-traditional developers build software faster and more easily. They allow users to focus on the interesting parts of a project instead of getting stuck on complicated coding tasks.
  2. Having some coding knowledge is important when using these AI tools. They work best when you understand what you're trying to do and can guide the AI, rather than starting completely from scratch.
  3. The use of AI in development helps bridge the gap between idea and execution. This means that even those who took a different route into tech can now create projects that once felt out of reach.

Awesome List for AutoML - Speed Up Model Development

The Beep • 0 implied HN points • 09 Apr 24
🕹 Technology Machine Learning Automation Software Development Cloud Services Data science
  1. AutoML automates tasks in the machine learning process, making it easier for people with less expertise to use. This means more folks can build models without needing to learn everything about data science.
  2. Using AutoML can save time and resources as it speeds up tasks like data preparation and model tuning. This lets data scientists focus on more complex problems instead.
  3. Though AutoML is helpful, it may reduce control over the modeling process and can introduce biases. It's important to combine AutoML with human expertise to make sure decisions are well-informed.

How to Use AI/ML Models for Your Projects

CodeLink’s Substack • 0 implied HN points • 24 Nov 23
🕹 Technology Integration Model optimization Frontend Development
  1. AI is accessible even if you don't have a background in it, thanks to tools and platforms available.
  2. Integrating AI into projects can be done conveniently through API services like those offered by OpenAI, Google Cloud Platform, Azure, and AWS.
  3. Bringing AI to the frontend, optimizing model size and latency, and exploring resources like HuggingFace and TensorFlow.js are key in leveraging AI's potential in development projects.

The Path To Undestand Image Generation and Stable Diffusion

The Beep • 0 implied HN points • 07 Apr 24
🕹 Technology AI Models Machine Learning Image Processing Deep Learning Data science
  1. Stable diffusion has made a big splash in image generation, allowing users to create impressive images using text prompts.
  2. Generative models like Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) help in building these image generation systems by learning from existing data.
  3. Understanding how stable diffusion combines text and image decoding can enhance the image creation process, making it more flexible for various tasks.

ML & AI: From Problem Framing to Integration

CodeLink’s Substack • 0 implied HN points • 20 Sep 23
🕹 Technology Machine Learning Artificial Intelligence Integration
  1. Effective problem framing is crucial in ML engineering to avoid complex solutions that don't deliver results.
  2. For model selection, consider using pre-trained models for common tasks and build custom datasets for niche problems.
  3. During model training, focus on evaluating performance, optimizing latency, and documenting the model for integration into existing systems.

Unlocking the Secrets of GDPR Compliance in IT Outsourcing

CodeLink’s Substack • 0 implied HN points • 01 Aug 23
🕹 Technology Data Protection Security Measures Data Breaches
  1. GDPR is a crucial regulation that transforms how organizations handle personal data globally.
  2. Understanding key GDPR terminology and principles is essential for ensuring compliance and data protection.
  3. GDPR compliance in IT outsourcing requires careful consideration of roles, responsibilities, and implementing key requirements.

Vector Database Checklist Point

The Beep • 0 implied HN points • 01 Mar 24
🕹 Technology AI Data Software Search Databases
  1. Always start with a clear goal when building a VectorDB. This helps in setting the right direction and making evaluation easier.
  2. Data quality is crucial for VectorDB to work well. Clean and well-prepared data leads to better search results.
  3. Choosing the right VectorDB is important. Picking the wrong one can lead to issues with how effectively it retrieves information.

Building on a Subnet solution by Ava Labs

CodeLink’s Substack • 0 implied HN points • 12 Sep 23
🕹 Technology Blockchain Developers Gaming Tools Prototyping
  1. Avalanche Subnets allow developers to create customized blockchains for specific needs, enhancing performance and security.
  2. Using Kurtosis makes setting up Avalanche Subnets quicker and simpler for deploying blockchain applications.
  3. Developers can easily deploy and play multiplayer games on a local Avalanche subnet with step-by-step guidance.

Top Embedding Model for VectorDB

The Beep • 0 implied HN points • 22 Feb 24
🕹 Technology Artificial Intelligence Machine Learning Data science Software Development Database Management
  1. VectorDB is a type of database that organizes data as vectors, making it easy to index and search different types of information like images, text, or sounds.
  2. RoBERTa is one model that can transform text into vectors, but it has a limit of 512 tokens and might shorten longer texts.
  3. When choosing an embedding model for a VectorDB project, it's important to consider the model's size and capabilities based on your needs.

Air Street: 2024 year in review

Guide to AI • 0 implied HN points • 12 Jan 25
🕹 Technology AI Investing Startups Research Trends
  1. In 2024, a lot of money continued to flow into AI companies, with new investments and mergers happening across the industry. This shows that AI is still a hot topic and technology is growing quickly.
  2. Air Street had a very busy year, releasing new reports and hosting many events that brought together people interested in AI. These events helped foster connections and share knowledge among researchers and entrepreneurs.
  3. The community is excited for the future of AI, as they believe we're just at the beginning of its potential. People are looking forward to seeing what new ideas and advancements will come in 2025.

2024's greatest hits on Air Street Press

Guide to AI • 0 implied HN points • 29 Dec 24
🕹 Technology AI Research Policy Data Economics
  1. Data acquisition is crucial for AI startups. It's important to know different methods like using synthetic data and scraping from various sources.
  2. Strong storytelling helps tech companies succeed. Good story-telling is needed to explain technology and attract support.
  3. AI's energy needs are growing, making nuclear energy a potential solution. However, the speed of building new infrastructure to support it must improve.

#OpenSourceDiscovery 80: Kutt

#OpenSourceDiscovery • 0 implied HN points • 02 Jul 23
🕹 Technology Open Source API
  1. Kutt is an open-source alternative to Bitly for URL shortening with features like custom domain support and built-in analytics.
  2. Kutt community has developed third-party packages for easy integration and browser extensions for simple link management.
  3. Challenges with Kutt include disabled signup functionality, outdated dependencies, and default environment variable issues.

How Breaking Changes Affect API Documentation

The API Changelog • 0 implied HN points • 15 Mar 24
🕹 Technology Consumers Updates Dependencies
  1. Breaking changes in APIs can cause a mismatch between what the API does and what the documentation says. Updating documentation with new restrictions is complex and involves updating various elements like how-tos, tutorials, and code samples.
  2. When capabilities are removed from an API, corresponding parts of the documentation become outdated. It's crucial to update documentation to reflect what capabilities are no longer available, instead of leaving users confused with dead-end links.
  3. Maintaining a list of documentation dependencies for each API operation can help keep documentation aligned with changes introduced in the API. This method ensures that all relevant parts of the documentation are reviewed and updated when necessary.

Cart Recommendation with VectorDB

The Beep • 0 implied HN points • 15 Feb 24
🕹 Technology AI Data science Software Development Machine Learning Programming
  1. VectorDB helps supermarkets recommend items based on customers' previous shopping carts. It turns past transaction data into useful suggestions to increase sales.
  2. The recommendation system involves transforming shopping data into vectors and indexing them for efficient searches. This makes it quick to find similar items for recommendations.
  3. Using Python libraries like Pandas, Numpy, and Annoy, developers can create and manage the vectorized data easily. This setup allows for fast and accurate item suggestions for supermarket customers.

Building Question Similarity Search using Vector DB

The Beep • 0 implied HN points • 11 Feb 24
🕹 Technology Software Databases Programming Data science Machine Learning
  1. Creating a question similarity system can help avoid duplicate posts on forums like Stack Overflow. This makes it easier for users to find existing answers and helps contributors manage their workload better.
  2. The system uses Vector databases and text embeddings to show related questions as users type their title. This means users get instant suggestions, which improves their experience when asking for help.
  3. To build this system, you need to follow a few steps including getting data, creating a database, transforming questions into embeddings, and finding similar questions. It's a straightforward process if you break it down.

Best of LLM Models for your use cases

The Beep • 0 implied HN points • 01 Feb 24
🕹 Technology Artificial Intelligence Open Source Machine Learning Software Development Data science
  1. There are many open-source language models (LLMs) tailored for specific fields like healthcare, mathematics, and coding. These can perform better in their niche compared to general models.
  2. Models like Clinical Camel and Meditron are designed specifically for medical applications, using curated datasets to enhance their accuracy and performance in healthcare settings.
  3. The push for open-source LLMs promotes collaboration and innovation. By sharing models and data, communities can work together to improve technology and solve problems more effectively.

Elevate The LLM Game with Prompt Engineering

The Beep • 0 implied HN points • 25 Jan 24
🕹 Technology AI Machine Learning Software Development Data science Automation
  1. Prompt engineering helps you create better questions for AI, leading to more helpful answers. It involves trying different ways to ask until you get the response you want.
  2. There are different types of prompts, like zero-shot, one-shot, and few-shot. Each type provides different amounts of context to help the AI understand what you're asking.
  3. Using tools for prompt engineering can make the process easier and more efficient. They help in crafting prompts that get better results without needing to retrain the AI.