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ChatGPT can automate repetitive communication tasks like customer support or report summaries. Integrated with workflow tools, it boosts efficiency and reduces manual workloads.
ChatGPT can automate repetitive communication tasks like customer support or report summaries. Integrated with workflow tools, it boosts efficiency and reduces manual workloads.
Read lessPrompt engineering helps users get more accurate and useful responses by crafting inputs that clearly define the task, tone, and context. It’s an essential technique for optimizing outputs from large language models.
Prompt engineering helps users get more accurate and useful responses by crafting inputs that clearly define the task, tone, and context. It’s an essential technique for optimizing outputs from large language models.
Read lessNLP enables ChatGPT to understand the structure and intent of human language. It allows the model to interpret meaning, context, and nuance, generating coherent and natural-sounding text responses.
NLP enables ChatGPT to understand the structure and intent of human language. It allows the model to interpret meaning, context, and nuance, generating coherent and natural-sounding text responses.
Read lessChatGPT can be integrated through OpenAI’s API, allowing developers to add conversational AI features to websites or apps. Using RESTful endpoints, it enables chat-based support, virtual assistants, or smart knowledge bots with minimal backend setup.
ChatGPT can be integrated through OpenAI’s API, allowing developers to add conversational AI features to websites or apps. Using RESTful endpoints, it enables chat-based support, virtual assistants, or smart knowledge bots with minimal backend setup.
Read lessChatGPT is a conversational AI developed by OpenAI. It’s a language model trained on a vast amount of text data, allowing it to understand natural language, answer questions, and hold meaningful conversations. It can be used to: Answer general or technical ...Read more
ChatGPT is a conversational AI developed by OpenAI. It’s a language model trained on a vast amount of text data, allowing it to understand natural language, answer questions, and hold meaningful conversations. It can be used to:
Starting with javascript is important, it shows you the basics of object oriented programming and how a DOM can interact with HTML to edit the frontend. This principle is necessary in Django, however by using python, there is a large ...Read more
Starting with javascript is important, it shows you the basics of object oriented programming and how a DOM can interact with HTML to edit the frontend. This principle is necessary in Django, however by using python, there is a large amount of key principles left out. Learning how types operate and why data locations should be managed by the programmer is an essential skill, but easily managed by python, for this reason, I would start with Javascript to understand how to change the front end, and then “migrate” these skills into Django only once you have learned the key OOP principles
Read lessIf you asked this question in 2011, the reply would have been: “probably yes, but only because of the massively huge code base developed in 15 years”. In 2017, we have to reply: “There has been a disruptive factor called PHP ...Read more
If you asked this question in 2011, the reply would have been: “probably yes, but only because of the massively huge code base developed in 15 years”.
In 2017, we have to reply: “There has been a disruptive factor called PHP 7. It changed a lot in the backend development perspective”.
PHP 5.5+ had been a big step up already. From the ancient, C flavoured spaghetti code, to a proper rich and modern language.
PHP 7 is not “just” monstruosly fast (it’s been reenginered from scratch), it also takes a LOT of the “good stuff” from Java and other good languages and makes it extremely easy to create proper code.
Code fast, code fast code (!) and have nothing special to install. No stale compiled files, no need for complicated sources building software, no need for a compiler at all.