Atharv Gyan

Deep learning language models represent a class of artificial intelligence (AI) models that leverage deep neural networks to understand and generate human-like language. These models have significantly advanced natural language processing (NLP) capabilities, allowing them to comprehend and generate text with a level of sophistication that was previously challenging to achieve. Fundamental Architecture: Deep learning language models are built upon neural networks, specifically recurrent neural networks (RNNs) or transformer architectures. The core idea is to create a network with multiple layers, allowing the model to learn hierarchical representations of language. Each layer processes information from the previous layer, enabling the model to capture intricate patterns and dependencies within the data. Embeddings: Language models typically begin by representing words as embeddings. These embeddings encode semantic information about words and enable the model to understand relationshi

Operating systems (OS) are typically developed using low-level programming languages like C and Assembly. C provides a good balance between performance and portability, while Assembly is used for specific hardware interactions. Operating Systems (OS) are the software that manage computer hardware and provide services for computer programs. OS programming involves writing code for the core functionalities of an operating system, such as process management, memory allocation, file systems, and device drivers. Here's a brief explanation along with examples: 1. Process Management: Explanation: OS programming involves managing processes, which are instances of executing programs. This includes creating, scheduling, and terminating processes. Example: Implementing a process scheduler that determines the order in which processes are executed on a multi-tasking system. 2. Memory Management: Explanation: Allocating and deallocating memory for processes, ensuring efficient usage of availa