TechGuru

ChatGPT is an extension of the GPT-3 language model developed by OpenAI. It is a chatbot designed to have natural and engaging conversations with users. One of the key features of ChatGPT is its ability to understand context and remember previous conversations. This allows it to have more fluid and engaging conversations, as it can reference previous statements and questions to provide more accurate and relevant responses. In addition to its conversational capabilities, ChatGPT is also able to perform various tasks, such as answering questions, providing information, and even generating text. This makes it a powerful tool for a variety of applications, including customer service, education, and entertainment. One potential use of ChatGPT is in the customer service industry. It could be used to assist customers in real-time, providing quick and accurate responses to their questions and concerns. This could help reduce the workload of human customer service representatives, allowing them

  PYTHON Data Science: Python is the programming language of choice for data scientists . Although it wasn’t the first primary programming language, its popularity has grown throughout the years. In 2016, it  overtook R on Kaggle , the premier platform for data science competitions. In 2017, it  overtook R on KDNuggets’s annual poll  of data scientists’ most-used tools. In 2018, 66% of data scientists reported  using Python daily , making it the number one language for analytics professionals. In 2021, it  overtook Java on the TIOBE index  and is now the most popular programming language. What’s more, python for data science experts expect this trend to continue, sample .  What does the current labor market look like for data scientists?  According to Glassdoor, the  average salary for a data scientist  in 2022 is $119,118. That number is only expected to rise as demand for data scientists  increases . In 2020, there were  three times  as many open positions for data scientists as the

  How to integrate SQLite Database with Spring Boot? Spring Boot doesn’t provide a straightforward way to integrate SQLite database compared to other databases such as MySQL , MongoDB etc. SQLite is the most used database engine in the world as SQLite website claims. And yet it is a surprise Spring Boot doesn’t treat it the same way as it treats other databases. To integrate SQLite into your spring boot application you need to do one major step which you don’t have to do for other databases. That is , to add an SQL Dialect. Let’s see step by step , how to integrate SQLite database with Spring Boot starting from scratch. STEP 1: Let’s create a base project using Spring Initializr. Go to  https://start.spring.io/  and generate a project template. Add  Spring Web  and  Spring Data JPA  dependencies as shown below: STEP 2: Add sqlite jdbc driver dependency to your pom.xml: <dependency> <groupId>org.xerial</groupId> <artifactId>sqlite-jdbc</artifactId>