Artificial Intelligence
Overview In this tutorial, we will learn how to fix the OpenAI API RateLimitError. API usage is subject to rate limits on Tokens Per Minute (TPM), Requests Per Day (RPM/RPD), and other model-specific limits. OpenAI API RateLimitError The response code and the error indicated that the server had rate-limited your API request. Below is the stack […]
Create An AI Assistant In this tutorial, you will learn how to create an AI assistant on the OpenAI playground, which allows you to explore the capabilities of the Assistants API. The Assistants API allows you to build AI assistants within your applications. 🤖 What is an AI Assitant? An AI Assistant is a software […]
LLM Testing Tools LLM (Large Language Model) testing tools are essential for evaluating and fine-tuning models like GPT. These tools help ensure the models perform optimally across various tasks, including natural language understanding, generation, and specific use cases like question answering or summarization. Testing Tools List These tools can be used individually or combined to […]
Difference Between LLM and SLM The difference between LLM (Large Language Model) and SLM (Statistical Language Model) primarily lies in their underlying approaches to understanding and generating language. Let’s understand each term first and then look at the differences. Note that: SLM may also mean Small Language Model. A small language model typically refers to […]
Chain of Thought Prompting (CoT) Chain-of-thought (CoT) prompting is a powerful technique to enhance the reasoning capabilities of large language models. It is a method for guiding LLMs through a sequence of connected ideas or thoughts. It aims to stimulate creativity, critical thinking, and problem-solving skills. CoT Prompting Chain-of-Thought prompting ( CoT ) technique allows […]
Zero-Shot Prompting In this tutorial, we will learn about the Zero-shot prompting technique. In this technique, we provide the model with a prompt that is not included in the training set. This technique allows the model to predict the desired outcome without examples. Zero-shot prompting involves providing a prompt to a language model without any […]