Think Logically
The Future of Quantum Computing in Artificial Intelligence The dawn of quantum computing heralds a paradigm shift, poised to redefine the boundaries of artificial intelligence (AI). This confluence of quantum mechanics and computational intelligence promises transformative potential, addressing challenges hitherto deemed insurmountable. Let us embark on a meticulous exploration of how quantum computing may illuminate …
Large Language Models (LLMs) are classified based on their architecture, purpose, training approach, scale, and deployment. Here’s a breakdown of the different types of LLM models: 1. Based on Model Architecture Transformer-Based ModelsUse the transformer architecture for natural language understanding and generation.Examples: GPT, BERT, T5, RoBERTa. RNN-Based ModelsUse recurrent neural networks or LSTMs (Long Short-Term …
Chain-of-Thought, Tree-of-Thought, and Graph-of-Thought prompting techniques, which are strategies used in prompting large language models for better reasoning and problem-solving: 1. Chain-of-Thought Prompting Definition: This technique encourages the model to reason step-by-step through a problem or task, explicitly detailing each step in the thought process. Usage: It is particularly effective for complex reasoning tasks where …
List of popular frameworks and libraries designed for building multi-threaded and scalable AI applications, focusing on distributed computing, parallel processing, and performance optimization: 1. Ray Description: An open-source framework for building distributed applications, particularly for machine learning and reinforcement learning. Ray simplifies parallel and distributed computing in Python. Key Features: Task parallelism and distributed execution. …
LangChain is a framework designed to help develop applications that leverage the power of large language models (LLMs) for a variety of use cases. It is used to build complex LLM-powered applications like chatbots, intelligent document processing tools, autonomous agents, etc. The main components of LangChain include: . LLMs (Large Language Models) Models: LangChain supports …
The term AI was first coined by John McCarthy in 1956 in Dartmouth conference. As per Wiki- In 1955 John McCarthy, then a young Assistant Professor of Mathematics at Dartmouth College, decided to organize a group to clarify and develop ideas about thinking machines. He picked the name ‘Artificial Intelligence’ for the new field. He chose the …