Remove query-your-documents-with-gpt-3
article thumbnail

Digging Through the Minutiae: Query Your Documents With GPT-3

Dataiku

However, organizations also need to extract information from non-public documents such as meeting minutes, legal documents, product specifications, technical documentation, R&D reports, business procedures, and so on.

article thumbnail

5 ways to deploy your own large language model

CIO Business Intelligence

The most popular LLMs in the enterprise today are ChatGPT and other OpenAI GPT models, Anthropic’s Claude, Meta’s Llama 2, and Falcon, an open-source model from the Technology Innovation Institute in Abu Dhabi best known for its support for languages other than English. And ChatGPT is one of the first and easiest coding assistants out there.

Modeling 139
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Setting up and Getting Started with Cloudera’s New SQL AI Assistant

Cloudera

It can help you to create, edit, optimize, fix, and succinctly summarize queries using natural language. Please refer to the product documentation for more information about specific releases. Click “generate” and type your query in natural language. Click “enter” to generate the SQL query.

article thumbnail

Natural Language Querying of GraphDB in LangChain

Ontotext

Natural Language Querying (NLQ) refers to the process of querying a database or an information system using natural language, such as English, instead of formal query languages such as Structured Query Language (SQL). They can simply type or speak their queries, resembling how they would ask another person a question.

article thumbnail

You Don’t Have to Wait for AI, But You Should Plan Carefully!

Smarten

If you are a business owner, technology user or a fan of the news media, it would be difficult to avoid the topic of GPT and artificial intelligence (AI) in today’s news cycle. To leverage the current state of Open AI and GPT, you can look at simple, out-of-the-box potential. “So, proceed, but don’t over pivot.”

article thumbnail

Generative AI use cases for the enterprise

IBM Big Data Hub

Remember how cool it felt when you first held a smartphone in your hand? For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Automate tedious, repetitive tasks.

article thumbnail

What Are ChatGPT and Its Friends?

O'Reilly on Data

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It’s clear that ChatGPT is not your run-of-the-mill automated chat server. GPT-2, 3, 3.5,

IT 262