When bicycles burst onto the Victorian scene in the 1800s, they were a big deal. This cool contraption made it possible

Let me start by saying that both 10x types are valuable and that in most engineering orgs you need both of them. I would also claim that there are several personality attributes and behavioral patterns that are commonly found in both types of 10x engineers. But in terms of the type of excellence they bring to the table, they are completely different from each other.

You can call Aristotle and Dante Discover the Secrets of the Universe a love story. But in its heart, it’s the story of being a misunderstood teenager and the struggle of dealing with a world so hell-bent on ostracising what it considers as “different”. It’s a book you MUST read, for it will leave you with tears of happiness and goosebumps all over your skin.

The popularity of chatbots has been on the rise for the past decade. Chatbots are usually used for quick responses to most commonly asked questions on a particular website. Chatbots save time as well as reduce human labor and expenditure. There are so many types of chatbots, and each of them specializes, in particular, in one or a few fields. The best approach for knowing what kind of chatbot you want to build is as follows — If you want to build chatbots, the best approach is to look for what are your target audience, companies, or businesses. Making specific chatbots is ideal as you can greatly improve the performance of the distinct task.

Optical character recognition is the conversion of 2-Dimensional text data into a form of machine-encoded text by the use of an electronic or mechanical device. You use computer vision to read the image or text files. After reading the images, use the pytesseract module of python to read the text data in the image or the PDF and then convert them into a string of data that can be displayed in python.

OCR engines have been developed into many kinds of domain-specific OCR applications, such as receipt OCR, invoice OCR, check OCR, legal billing document OCR. The various applications and utilizations of OCR technology in real-life scenarios are Data entry for business documents, e.g., Cheque, passport, invoice, bank statement, and receipt, Automatic number plate recognition, In airports, for passport recognition and information extraction, and so much more.

After a few failed attempts to simplify the query language plus a series of cosmetic UI changes that miserably failed to bring more users into a very advanced application, we decide to take a different direction:

More methods of pre-processing and natural language processing can be used to achieve a higher accuracy and reduced loss on the training of the model. This can also improve the overall predictions of the model. Advanced training algorithms like the GPT-3 model trained on almost 175 billion parameters works fantastic even for conversational chatbots and it is a great alternative method to train high-quality chatbots. Other methods like transfer learning based classification, sequence to sequence models with attention, or even certain one-shot learning methods for training can be used.

By manipulating the shoulders blades and hips, we can construct a harder version of the plank. One that challenges the very abdominal muscles we were trying to target in the first place. Now that the secret is out, it’s time to go brush up on an old exercise and take your core training to the next level!

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s a field of the surrounding anonymous struct. However since it is defined as a const it only exists at compilation time. If you inspected the memory of the LinkedList struct at runtime, you would find no area corresponding to Node.

The data we were collecting and storing was super valuable, the only problem was that in order to actually be able to use this data the user had to be both an expert in graph theory as well as have an intimate knowledge of our proprietary data model. In reality, the learning curve was so steep, that most of our customers had no more than 3 people who were able to query the data. All other potential data consumers had to “submit a request for a UCMDB view” and wait for these honorable 3 admins to prepare it for them. Not a very efficient way to consume real-time data.

I want to take you back to 2012. I was working for HP, leading the R