Haseeb Mir

LangChain-Coder   is a web application that can generate code, fix bugs, and run it using GPT-3, CodexAI, and Vertex AI. It is a powerful tool that can help developers of all levels to write better code faster. How it works LangChain-Coder uses a combination of natural language processing and machine learning to generate code. When you enter a programming task, the app will first try to understand what you are asking. It will then use its knowledge of programming languages to generate code that solves the task. If the generated code has any bugs, LangChain-Coder can also fix them. It does this by analyzing the code and identifying the errors. It can then suggest changes to the code that will fix the errors. Once the code is generated and fixed, LangChain-Coder can run it. This allows you to see how the code works and to test it for errors. The technologies it uses LangChain-Coder uses a variety of technologies, including: GPT-3:  A large language model from OpenAI that can generate tex

Graph Generator is a tool used to generate quick and simple graphs using QuickChart.io. It allows the user to simply input a query and receive a preview of the graph. The process is simple: the user types in their query using English inside curly brackets, and the program generates a graph based on the input. QuickChart.io is the main platform that the program uses to generate the graph. It is a simple and free chart-making tool that can process data from any type of JSON, XML, CSV or Raw format. The program takes advantage of the flexibility and ease of use of QuickChart.io, allowing users to quickly create and share graphs. The steps to use Graph Generator are simple. First, the user types in their query inside curly brackets. Then, the program generates a QuickChart.io URL based on the query and encodes it according to specific rules. Finally, the program generates a preview image of the graph and returns it to the user. Graph Generator is a convenient and user-friendly tool that al

Chat-GPT vs Google BERT AI: Understanding the Differences and Similarities Artificial Intelligence (AI) has taken the world by storm, and its impact can be seen in many areas of our daily lives. In particular, Natural Language Processing (NLP) has seen tremendous growth in recent years, with AI-powered chatbots and language models playing a big role in this field. Two of the most popular AI-powered NLP systems are Chat-GPT and Google BERT AI. In this article, we will explore the similarities and differences between these two AI systems and understand how they work. What is Chat-GPT? Chat-GPT is a language model developed by OpenAI that is based on the transformer architecture. It is a deep learning model that uses neural networks to generate human-like text. Chat-GPT is trained on a massive amount of text data, allowing it to generate highly coherent and natural language text. This makes it ideal for use in chatbots, language translation, and other NLP applications. What is Google BERT

 

  Here is book which I recommend its called The C Programming Language by  Brian Kernighan  and  Dennis Ritchie  here are the steps that shows latest book is the best to learn the programming First and foremost, " The C Programming Language " by Brian Kernighan and Dennis Ritchie is considered the "bible" of C programming. It is written by the creators of the C language, which gives it a level of authority and expertise that other books on the subject cannot match. The book is written in a clear and concise manner, making it easy to understand even for beginners. It covers the basics of C programming, including data types, variables, loops, and functions, in a logical and organized way. The book also covers advanced topics such as pointers, memory management, and file input/output, which are essential for any serious C programmer. These topics are explained in detail and with clear examples, making it easy to understand even for those who may be new to programming.