OpenPipe Integrations

OpenAI's mission, which is to ensure artificial general intelligence (AGI), benefits all people. This refers to highly autonomous systems that outperform humans in most economically valuable work. While we will try to build safe and useful AGI, we will also consider our mission accomplished if others are able to do the same. Our API can be used to perform any language task, including summarization, sentiment analysis and content generation. You can specify your task in English or use a few examples. Our constantly improving AI technology is available to you with a simple integration. These sample completions will show you how to integrate with the API.

Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.

TypeScript adds syntax to JavaScript to allow for tighter integration with your editor. Make sure to catch errors in your editor as soon as possible. TypeScript code can be converted to JavaScript and runs wherever JavaScript runs: in a browser, on Node.js, Deno, or in your apps. TypeScript can understand JavaScript and uses type-inference to provide great tooling for JavaScript without any additional code. 78% of 2020 State of JS respondents used TypeScript, and 93% said they would use it again. Type errors are the most common errors programmers make. A certain type of value was used when a different value was expected. This could be simple typos, failure to understand an API surface, incorrect assumptions about runtime behavior or other errors.

Node.js is an asynchronous JavaScript runtime that drives JavaScript calls. It's designed to create scalable network applications. Node.js will go to sleep if there isn't any work being done. This is in contrast with the more common concurrency model today, where OS threads are used. Thread-based networking is slow and difficult to use. Node.js users are not at risk of deadlocking the process because there are no locks. Nearly every function in Node.js performs I/O. The process never blocks unless the I/O is performed using synchronous Node.js methods standard library. Scalable systems are easy to create in Node.js because nothing blocks. Node.js is inspired by and similar to Ruby's Event Machine, and Python's Twisted. Node.js extends the event model a little further. It presents an event loop instead of a library as a runtime construct.

JavaScript is a web scripting language and programming language that allows developers to create dynamic elements on the internet. Client-side JavaScript is used by over 97% of all websites. JavaScript is the most popular scripting language on the internet.

JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.

The next generation of the large language model. This release includes modelweights and starting code to pretrained and fine tuned Llama languages models, ranging from 7B-70B parameters. Llama 1 models have a context length of 2 trillion tokens. Llama 2 models have a context length double that of Llama 1. The fine-tuned Llama 2 models have been trained using over 1,000,000 human annotations. Llama 2, a new open-source language model, outperforms many other open-source language models in external benchmarks. These include tests of reasoning, coding and proficiency, as well as knowledge tests. Llama 2 has been pre-trained using publicly available online data sources. Llama-2 chat, a fine-tuned version of the model, is based on publicly available instruction datasets, and more than 1 million human annotations. We have a wide range of supporters in the world who are committed to our open approach for today's AI. These companies have provided early feedback and have expressed excitement to build with Llama 2

We solve the most difficult problems to make AI models efficient, helpful and reliable. We are the pioneers of open models. We give them to our users, and empower them to share their ideas. Mistral-7B is a powerful, small model that can be adapted to many different use-cases. Mistral 7B outperforms Llama 13B in all benchmarks. It has 8k sequence length, natural coding capabilities, and is faster than Llama 2. It is released under Apache 2.0 License and we made it simple to deploy on any cloud.

PostgreSQL, a powerful open-source object-relational database system, has over 30 years of experience in active development. It has earned a strong reputation for reliability and feature robustness.