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Prompt Engineering Guide Prompt engineering is a relatively new discipline for developing and optimizing prompts to efficiently use language models (LMs) for a wide variety of applications and research topics. Prompt engineering skills help to better understand the capabilities and limitations of large language models (LLMs). Researchers use prompt engineering to improve the capacity of…
Course on Large Language Models NOTE: You’re only meant to change code marked with “# TODO:” Table of Contents Setting Up API Key Configuration Connecting to OpenAI API Exploring the API Creating Chat Completions Understanding Completion Parameters Prompt Engineering Crafting Effective Prompts Strategies and Best Practices Advanced Techniques Utilizing Embeddings Function Calling in LLMs Extras…
What is SciPy? SciPy is an interactive Python session used as a data-processing library that is made to compete with its rivalries such as MATLAB, Octave, R-Lab, etc. It has many user-friendly, efficient, and easy-to-use functions that help to solve problems like numerical integration, interpolation, optimization, linear algebra, and statistics. The benefit of using the…
In today’s fast-paced, tech-driven world, understanding the fundamentals of computers is crucial. This blog will explore key topics related to computer science, providing detailed explanations, examples, and relevant questions and answers for each topic.
Numerical Analysis is the study of algorithms for solving mathematical problems involving continuous variables. It differs from discrete mathematics and focuses on deriving and analyzing methods to obtain numerical solutions.
A linear equation is an equation involving a linear combination of variables.
In probability theory, a probability distribution is a mathematical function that provides the probabilities of occurrence of different possible outcomes in an experiment. These distributions are either discrete or continuous, depending on whether the outcomes are countable or measurable over a range of values.
Operations Research (OR) is a multidisciplinary field that uses mathematical models, statistical analysis, and optimization techniques to solve complex decision-making problems in various industries such as manufacturing, transportation, healthcare, finance, and logistics.
Algorithm design and analysis form the backbone of computer science and computational theory. Algorithms are step-by-step procedures or formulas for solving problems, and their efficiency determines how well software performs in terms of speed, memory usage, and scalability.
Neural networks are the backbone of modern artificial intelligence (AI), powering applications like image recognition, natural language processing, and autonomous vehicles,
