Below is a code snippet of a RAG built using LangChain Expressive Language. Python Code Snippet 1 # Defining the chat prompt 2 prompt = ChatPromptTemplate.from_template(template) 3 # Defining the model to be used for chat completion 4 model = ChatOpenAI(temperature=0, openai_api_key=OPENA...
“OpenAI’s mission is to ensure that artificial general intelligence (AGI)—by which we mean highly autonomous systems that outperform humans at most economically valuable work—benefits all of humanity.” OpenAI Charter(1) The company has since spawned an impressive lineup of tools including DALL...
Azure OpenAI processes text by breaking it down into tokens. Tokens can be words or just chunks of characters. For example, the word “hamburger” gets broken up into the tokens “ham”, “bur” and “ger”, while a short and common word like “pear” is a single token. Many tokens ...
OpenAI’schartercontains 476 tokens. The transcript of the USDeclaration of Independencecontains 1,695 tokens. How words are split into tokens is also language-dependent. For example ‘Cómo estás’ (‘How are you’ in Spanish) contains 5 tokens (for 10 chars). The higher token-to-char rat...
OpenAI provides an off‐the‐shelf Moderation API that checks for categories like hate, self‐harm, sexual content, and violence. It returns a simple flag if text is potentially disallowed. Other solutions exist – Google Perspective can measure toxicity, or you could deploy a local toxicity clas...
Prompt Engineering in OpenAI OpenAI Model Selection: Extensive rounds of testing may be required to identify the optimal model for your use case. New, higher-performing models are emerging almost every quarter. Ensure a thorough validation is done before you plan to switch to a ...
OpenAI's GPT series is the superstar of language models, stealing the spotlight with its impressive text generation. Starting with GPT-2 and now with the super-powered GPT-4, these models are experts at generating human-like text. Whether drafting an email or answering a tough question, ...
A crucial element that a lot of popular LLMs need is pre-training. Before an LLM is put to work processing language, it needs to be trained on a vast amount of data, as well as a set of parameters. Take OpenAI's GPT-3.5, for example. This LLM was trained on all kinds of text-...
Using OpenAI’s API is similar to using just about any other public API — you sign up, get an API key, and then use your key to make API calls to any of their models using HTTP requests. I’ll walk you through the general process of sending ...
“A common word may have its own token, uncommon words would certainly be made up of multiple tokens, and some tokens may just be a single space followed by ‘th’ because that sequence of three characters is so common,” said Thompson. To make each prediction, the model inputs a token...