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Grab Employs LLMs for Conversional Data Discovery with GPT|4 ...


Grab Employs LLMs for Conversational Data Discovery with GPT-4 ...

Grab responded to the challenges of finding valuable datasets among 200k+ tables by enhancing Hubble, the data discovery tool, with new ...

Grab Employs LLMs for Conversional Data Discovery with GPT-4 ...

Grab responded to the challenges of finding valuable datasets among 200k+ tables by enhancing Hubble, the data discovery tool, ...

Enabling conversational data discovery with LLMs at Grab

We embarked on a journey to revolutionise the way our employees find and access the data they need, leveraging the power of AI and Large Language Models (LLMs).

Glean on X: "Read more on how they built this: https://t.co ...

Read more on how they built this: Grab Employs LLMs for Conversional Data Discovery with GPT-4, Glean and Slack. From infoq.com · 6:20 PM · Nov 12, 2024. ·. 143. Views.

Grab Employs LLMs for Conversational Data Discovery with GPT-4 ...

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Grab Employs LLMs for Conversional Data Discovery with GPT-4 ...

Grab enhanced its data discovery tool, Hubble, by incorporating LLMs and GenAI technologies to streamline the process of locating valuable ...

InfoQ on X: "Grab Employs LLMs for Conversional Data Discovery ...

Grab Employs LLMs for Conversional Data Discovery with GPT-4, Glean and Slack https://t.co/qMEnViMwrt by @RafalGancarz.

We simplified data discovery with LLMs. Here's how. - Grab

Employees responsible for handling data in a company are usually stretched thin. They create and manage multiple datasets, usually with only ...

Mastering Data Discovery with Generative AI at Grab - Mischa Dohler

LLM chatbot technology uses large language models to assist users in locating datasets quickly. Grab's HubbleIQ aims to reduce data discovery ...

Creating a Conversational Data Analyst Chatbot using LangChain ...

... uses LangChain and OpenAI's GPT-4-Turbo LLM to query a Google BigQuery cloud data warehouse. When clicked, the chatbot starts by asking if ...

Most powerful LLMs (Large Language Models) - Codingscape

The most powerful large language models (LLMs) from OpenAI GPT-4o to Claude 3.5 Sonnet drive a multi-trillion dollar AI industry. Here are the best LLMs.

Enabling conversational data discovery with LLMs at Grab | daily.dev

Chatting With Data: LLMs Are Transforming AIOps. 4 Upvotes. The New Stack. Designing LLM Chat Interfaces to Leverage Heterogeneous Data Sources.

19 of the best large language models in 2024 - TechTarget

Vicuna is another influential open source LLM derived from Llama. It was developed by LMSYS and was fine-tuned using data from sharegpt.com. It ...

LLMs - The next big thing for enterprise AI…or not? - Yellow.ai

With the recent rise in Generative AI capabilities, Conversational AI platforms are now capable of having more advanced human-like conversations ...

Extracting accurate materials data from research papers ... - Nature

ChatExtract can be applied with any conversational LLMs and yields very high quality data extraction. ... conversational LLMs, like GPT-4. We ...

Grab 通过GPT-4、Glean 和Slack 实施了利用LLM 的转换数据发现

Grab Employs LLMs for Conversional Data Discovery with GPT-4, Glean and Slack (https://www.infoq.com/news/2024/11/grab-data-discovery-llm-slack ...

LLMs will transform medicine, media and more - The Economist

Satnav software uses search algorithms to find the quickest route from your house to that new restaurant; airplanes land themselves; traffic ...

Data harvesting superapp says LLM tamed its unruly data

Singaporean superapp Grab has admitted it gathered more data than it could easily analyze – until a large language and generative AI turned things around.

IBM watsonx Assistant Virtual Agent

IBM watsonx Assistant is a next-gen conversational AI solution that empowers anyone in your organization to effortlessly build generative AI Assistants.

Bard vs. GPT-4 - Which LLM Gets You Better Results? | Width.ai

The same problem is seen in the results of the follow-up prompt. Example #2: Attention-Grabbing Ad Title for a Product. We asked both LLMs to ...