n8n
This n8n template delivers a complete AI-powered solution for automated LinkedIn posts, including unique content, custom images, and optimized hashtags.
OpenAI ChatGPT Assistants API overviewBeta
Build AI Assistants with essential tools and integrations.
OpenAI ChatGPT Realtime API
The OpenAI Realtime API enables you to build low-latency, multi-modal conversational experiences with expressive voice-enabled models. These models support realtime text and audio inputs and outputs, voice activation detection, function…
Open AI ChatGPT Voice Translation into Different Languages
Have you ever wanted to translate a podcast into your native language? Translating and dubbing audio content can make it more accessible to audiences worldwide. With GPT-4o's new audio-in and…
GPT Actions library – Tray.ai APIM
This page provides an instruction & guide for developers building a set of GPT Actions across a set of applications. Before you proceed, make sure to first familiarize yourself with…
OpenAI ChatGPT How to evaluate a summarization task
In this notebook we delve into the evaluation techniques for abstractive summarization tasks using a simple example. We explore traditional evaluation methods like ROUGE and BERTScore, in addition to showcasing…
OpenAI ChatGPT Question answering using embeddings-based search
GPT excels at answering questions, but only on topics it remembers from its training data. What should you do if you want GPT to answer questions about unfamiliar topics?
OpenAI ChatGPT Data preparation and analysis for chat model fine-tuning
This notebook serves as a tool to preprocess and analyze the chat dataset used for fine-tuning a chat model. It checks for format errors, provides basic statistics, and estimates token…
OpenAI ChatGPT Using reasoning for data validation
In this guide, we’ll explore how to use the o1 model, specifically o1-preview, to perform data validation through reasoning. We’ll walk through a practical example involving a synthetic medical dataset…
ChatGPT How to count tokens with Tiktoken
Splitting text strings into tokens is useful because GPT models see text in the form of tokens. Knowing how many tokens are in a text string can tell you (a)…
How to work with large language models
Ted Sanders(OpenAI) Jan 20, 2023 Open in Github How large language models work Large language models are functions that map text to text. Given an input string of text, a…