Artificial Intelligence

  APIs-Openai and hugging face Introduction What is API? API stands for Application Programming Interface. It’s a set of rules, protocols, and tools that allow different software applications to communicate with each other. APIs define how different components of software should interact, making it easier for developers to integrate functionalities from one application into another. They can be used for accessing data, services, or functionalities provided by other software or web services. How we use APIs of different tools and websites?  Using APIs (Application Programming Interfaces) of different tools and websites allows developers to access specific functionalities and data provided by those platforms in their own applications. Here's a simplified explanation with an example:   1 . Understanding APIs: APIs are like sets of rules that allow different software applications to communicate with each other. They define the methods and data formats that devel...

What is the Diffusion model? Diffusion models lie in the domain of Computer Vision. Diffusion is the model of deep learning that deals with latent or hidden variables in an image by adding or removing noise. The diffusion model is a computational framework used in psychology and neuroscience to describe decision-making processes and response times in tasks involving perceptual discrimination or categorization. It proposes that decision-making involves accumulating evidence over time from noisy sensory inputs until a threshold is reached, at which point a decision is made. What is noise? Unwanted information that disrupts the clarity and accuracy of the picture. the context of the diffusion model, "noise" refers to random variability or fluctuations in the accumulation of evidence over time. These fluctuations can arise from various sources, including variability in sensory inputs, neural noise, and random fluctuations in cognitive processing. Stable Diffusion: Stable diffus...

  What is Prompt Engineering? Prompt Engineering: Prompt engineering is a way of asking a big AI system like GPT-4 to give  the answer we want. We have to be careful and clever about how to ask the question, because the AI system might not understand us or give us wrong or useless information. We can use different tricks to make our question better, like giving examples, rules, texts, or steps. Prompt engineering can help us talk to the AI system using normal language, without needing to know a lot of technical stuff. Prompt Engineering deals with the challenge of getting best possible outcomes utilizing token limits. What is the Anatomy of Prompt ? Anatomy of Prompt: In the context of language models, a prompt refers to the input or instructions provided to the model to generate the specific response or output. Characteristics of prompts are also called anatomy of prompts. Following step are needed to be taken while making a prompt; ☆Simulate persona: In this step ,first of ...