balls

Thanks for this detailed tutorial, i have been struggling for ages. Many thanks and subscribed as gratitude ✌✌

Anyone watching in 2024?

I cannot give enough praise to this video. I've been learning about this topic for a few days and I constantly had questions that weren't answered, and gaps in my knowledge. This single video filled in every single hole and answered every single question I had, and some I didn't know I had. Thanks for this amazing resource

I enjoyed your teaching, hope to get more from you

A

I decided to give a chance to php and jQuery for bigger web applications... I regret everything

Who else is watching this in 2024?

just saw your 13 years old video and its still awesome

I thought Autoblogs were good and the Deceptiblogs were bad.

After many years of using data deduplication, I can honestly say that I have never lost more data to any other computing technology. I've lost entire RAID 5 arrays (RAID 5 is a scam) but I haven't lost any more data there than I have using data deduplication. It sounds good on paper but in practice, it always fails. Wendell from Level 1 Techs says this: "Friends don't let friends do data deduplication."

I recently rediscovered your channel after losing track of it for a while. Back in the day, I remember you were all about general IT content, so it's great to see you active again! As a computer scientist and AI engineer, I almost turned my back on AI due to the limitations of early models. However, the advent of transformers, attention mechanisms, and other breakthroughs reignited my passion. I studied AI at MIT and, honestly, I used to think it might have been in vain-turns out, I was wrong! I've been deeply involved in AI research for the past two years, publishing articles and currently working on enhancing Retrieval-Augmented Generation for sectors like finance, healthcare, and law. It’s exhilarating to pivot away from IT infrastructure and network management. I definitely don’t miss developing point-of-sale systems; I’m much happier innovating in AI!

Quite informative, the basic principles are relative to that of musical understanding, and glad Eli, you've explained Octets.

Why were you hiding that awesome wall map behind shelves made of...pine?

i tried this and it dont work, please help

tank you very much

So please sir!! how can we manage it with the graphic interface???

So brilliant

very long video with such little information. this can be done by 2 minutes video...

Everyone on the internet is an expert and a journalist! Ai adds makeup,...er markup...or was it makeup?

I don't know whats happening, but the KZbin algo is doing Eli dirty. Disgraceful! Eli is a legend!!

Thanks!

ill tell ya why! all the damn numbers lol

Nice

thanks Eli

This is a great video on how to install an FTP server. Thank you!

Brilliant presentation - well done

You shouldn't nag your wife mate, and you should stay away from Windows 11.

Thank you very much.........................................

Thank you for this share, it’s educational and you are a great teacher! May I ask, is it possible to define with NIC is the or shall be the main one (indirectly configuring the interfaces? In nmtui one can archive that and it is just point and click. But in my case doing that breaks my system which is on a Pi5, Raspberry OS 64 Lite and with OMV on top of it all.. when I sat the system up I only had the built in NIC of the Pi5, recently I got myself a 2.5Gb NIC and did’t know better so I reached out to Pi5 forums and got recommended using NetworkManager and since then I’m unable to use the system. I can boot it and using a HDMI adapter attach a monitor but as long as I don’t fix my configuration of the NIC’s using SystemD my setup will keep having errors on boot and be unstable since OMV uses that and seem to be having majors issues cause of my configuration using nmtui) Would appreciate your input in this matter! You got a sub either way ofc.

Take a shot every time you hear 'industry' pronounced as 'inn-Dusss-Tree'

Eli the Computer guy is the greatest......tells you like it is in simple language. Great work Eli.

the best intro video ever

The firewall typically sits between the modem and router. Often the firewall and router are the same device.

I must say you have made my day after 5 painful days trying to perform a migration of servers and yet the updates kept me getting frustrated. God bless you.

🎯 Key Takeaways for quick navigation: 00:00 *🎓 Introduction to Silicon Dojo and its courses * - Introduction to the free, hands-on technology classes offered at Silicon Dojo, where the instructor highlights the classes are free for end-users but not cost-free to provide. - Mention of financial support request through donor box to keep the courses running. 00:41 *💻 Overview of using ChatGPT API for web scraping * - Explanation of how to scrape RSS feeds using the ChatGPT API, building on previous knowledge of scraping with Python and Beautiful Soup. - Discussion on the importance of extracting specific text from massive source documents to minimize unnecessary data processing and costs. 02:18 *📊 Detailed problem of text extraction in RSS feeds * - Challenges and strategies in efficiently extracting relevant text from web pages, highlighting the cost implications of sending non-essential data to ChatGPT. - Importance of cleaning up the input to ChatGPT to avoid high costs and potential failures. 03:13 *🗃️ Utilizing RSS feeds with Python for efficient data handling * - Utilization of feed parser and Beautiful Soup to work with RSS feeds and extract URLs. - Discussion on compiling and querying lists of data from various feeds to detect trends or specific information using ChatGPT. 04:52 *🖥️ Practical demonstration and application of RSS scraping * - Demonstration of a Python script that aggregates titles from multiple RSS feeds into a singular list and querying ChatGPT to identify trending product names from those titles. - Explanation of avoiding disclaimers in ChatGPT responses to keep output clean and focused on the desired query results. 06:29 *⏳ Performance and output considerations in ChatGPT usage * - Discussion on the performance aspect of ChatGPT in processing large amounts of data and the real-time results demonstrated in the tutorial. - Review of how ChatGPT parses and identifies product names from a list of titles, providing practical use cases for trend analysis and content tagging. 08:58 *🤖 Implementation of ChatGPT in Web Scraping Projects* - Techniques for using Beautiful Soup and ChatGPT to process and summarize data from web pages effectively. - Using Python to automate the extraction of text for summarization and tagging by ChatGPT. - Creation of HTML outputs using the processed data for easy review and usage. 11:06 *⚖️ Addressing Legal Concerns in Web Scraping* - Emphasizes the importance of understanding legal implications such as copyright and fair use in tech projects, especially in web scraping. - Detailed discussion on fair use, highlighting it is determined case-by-case and dependent on many factors. - Encouragement to consider the cost versus benefit in potential legal scenarios to avoid expensive litigation, even in victorious cases. 16:02 *🧠 Cost and Efficiency Considerations in API Usage* - Evaluation of performance and financial efficiency between different versions of the ChatGPT model in handling large volumes of data. - Exploration of the impact on project costs when using more advanced but expensive ChatGPT models. - Acknowledgment of the potential for higher computational requirements and costs when submitting large data requests through APIs. 18:35 *💸 Examining Cost-Efficiency of Data Processes* - Discussion of financial considerations when employing advanced computational models (like GPT-4) in production environments. - Mention of potential high costs in production compared to lab or demonstration environments. - Overview of using RSS feeds for data scraping to achieve cost-effectiveness and efficiency. 20:24 *📊 Optimizing Data Handling with RSS Feeds* - Explaining the advantages of using RSS feeds over traditional web scraping methods for data extraction. - RSS feeds provide cleaner, more structured data compared to parsing raw webpage data. - Discusses the standardization of RSS feeds using XML that simplifies data parsing tasks. 24:02 *🛠️ Setting Up and Understanding Key Tools for RSS Parsing* - Step-by-step guide on setting up the environment and installing necessary modules for RSS and web scraping. - Instructions include installation of feed parser and Beautiful Soup, essential tools for handling RSS feeds and HTML content. - Introduction to testing and verifying the functionality of installed tools to ensure proper setup for data extraction tasks. 27:37 *🔑 Understanding Dictionary Keys in Python for RSS Parsing* - Explanation of dictionary keys in Python and their importance in handling RSS feed data. - Demonstrates how to print and identify all keys from a dictionary representing an RSS feed entry. - Discusses how these keys help in accessing various elements of the RSS feed such as titles and links. 29:01 *📜 Streamlining RSS Feed Data Extraction Process* - Detailed walkthrough of extracting titles and links from RSS feed entries in Python. - Highlights the steps to print total number of stories within an RSS feed. - Emphasizes the simplicity and efficiency of parsing RSS feeds for specific data like article titles and URLs. 31:31 *🔄 Integrating Multiple RSS Feeds for Comprehensive Data Aggregation* - Methodology for combining multiple RSS feeds to analyze industry-wide trends or data. - Uses Feedparser to parse through several feeds, aggregating titles into a single list. - Illustrates how to consolidate data from different feeds effectively for broader insights. 34:24 *🤖 Enhancing RSS Feed Parsing with AI Integration* - Introduction to incorporating OpenAI's ChatGPT model to interpret aggregated RSS feed titles. - Discusses setting up and using the OpenAI API with Python for advanced data processing. - Outlines steps to connect multiple RSS feeds, retrieve, and possibly analyze the data using AI to provide deeper insights. 36:39 *🛠️ Utilizing GPT-4 for Effective RSS Feed Analysis* - Experimenting with different versions of GPT for parsing RSS feeds; GPT-4 provides significant improvements over older versions. - Focused on customizing the output to be comma-separated values for better data handling. - Emphasizes the necessity of specific instructions to GPT-4 to optimize output for practical applications, such as extracting product names from RSS titles. 38:41 *📊 Handling and Parsing Data in Production Systems* - Discusses transforming and parsing RSS feed data using tools like Feedparser and Beautiful Soup. - Analysis of the responsiveness of ChatGPT in a lab versus production environments. - Insights on data tailoring, such as removing unnecessary disclaimers from outputs to streamline processes. 45:12 *🔄 Building and Manipulating Feed Aggregation Lists* - Overview of appending URLs to a master list from various RSS feeds and handling output files, - Iterating through RSS feed entries and collecting URLs into a centralized list. - Creation and management of an output file, handling file status to either overwrite or create a new one. 46:08 *🔗 Efficiently Limiting Loop Iterations* - Implementing counters to limit the number of iterations in a data processing loop for efficiency, - Setting a maximum iteration limit to prevent extensive processing time and cost. - Utilizing loop breaks to manage execution flow efficiently within predefined limits. 47:58 *🌐 Extracting and Cleaning Web Page Data* - Using Beautiful Soup to parse HTML content and extract text cleanly from web pages, - Techniques for retrieving and cleaning specified HTML tag contents to avoid unwanted styling and formatting. - Emphasis on processing efficiency by stripping unnecessary HTML/CSS content to obtain plain text. 50:14 *🤖 Integrating ChatGPT for Concise Content Summarization and Tagging* - Employing OpenAI's ChatGPT to generate concise summaries and relevant tags for articles, - Using artificial intelligence to streamline content summarization and metadata tagging. - Demonstrating practical applications of AI in processing and simplifying web-sourced content. 52:05 *📝 Automating Content Structuring and File Writing* - Scripting automated write-ups for web parsed content into structured HTML format, - Efficiently structuring and writing the parsed data into files with HTML tagging. 53:59 *🌍 Practical Applications of RSS and AI* - Discussion on real-world simulations and applications using RSS, Django, and AI for data management, - Explores the use of Django to store RSS feed data into databases for dynamic content updates, 55:59 *📚 RSS as a Standardized Data Format* - Benefits of using RSS for web scraping due to its standard format, which simplifies the process compared to scraping individual homepages, - Discusses the complexity of web scraping with examples of variability in HTML structure across different sites, 57:50 *⚖️ Legal Considerations and Cost Implications in AI Deployments* - Examines the legal complexities and copyright considerations of using AI to generate web content, - Explains the importance of being cautious about content reproduction and syndication online, Made with HARPA AI

Hi, im a bit late but i need some help. When i try to save my script it doesn't work. I can't put it in any file. Anyone knows what to do?

looking at the view counts here, it's easy to say that KZbin's algorithm has some serious problems.

I have to say that your english is too clear and clean, i am not an english native speaker so I appreciate that

This channel is a gold mine!