KT Trains Good Audio system, Buyer Name Facilities With AI

South Korea’s hottest AI voice assistant, GiGA Genie, converses with 8 million folks every day.

The AI-powered speaker from telecom firm KT can management TVs, provide real-time visitors updates and full a slew of different home-assistance duties based mostly on voice instructions. It has mastered its conversational abilities within the extremely complicated Korean language due to massive language fashions (LLMs) — machine studying algorithms that may acknowledge, perceive, predict and generate human languages based mostly on enormous textual content datasets.

The corporate’s fashions are constructed utilizing the NVIDIA DGX SuperPOD knowledge middle infrastructure platform and the NeMo Megatron framework for coaching and deploying LLMs with billions of parameters.

The Korean language, often called Hangul, reliably exhibits up in lists of the world’s most difficult languages. It contains 4 varieties of compound verbs, and phrases are sometimes composed of two or extra roots.

KT — South Korea’s main cellular operator with over 22 million subscribers — improved the good speaker’s understanding of such phrases by creating LLMs with round 40 billion parameters. And thru integration with Amazon Alexa, GiGA Genie can converse with customers in English, too.

“With transformer-based fashions, we’ve achieved vital high quality enhancements for the GiGA Genie good speaker, in addition to our buyer providers platform AI Contact Heart, or AICC,” mentioned Hwijung Ryu, LLM growth staff lead at KT.

AICC is an all-in-one, cloud-based platform that gives AI voice brokers and different buyer service-related functions.

It will probably obtain calls and supply requested info — or rapidly join clients to human brokers for solutions to extra detailed inquiries. AICC with out human intervention manages greater than 100,000 calls day by day throughout Korea, in response to Ryu.

“LLMs allow GiGA Genie to realize higher language understanding and generate extra human-like sentences, and AICC to scale back session instances by 15 seconds because it summarizes and classifies inquiry varieties extra rapidly,” he added.

Coaching Massive Language Fashions

Creating LLMs may be an costly, time-consuming course of that requires deep technical experience and full-stack expertise investments.

The NVIDIA AI platform simplified and sped up this course of for KT.

“We educated our LLM fashions extra successfully with NVIDIA DGX SuperPOD’s highly effective efficiency — in addition to NeMo Megatron’s optimized algorithms and 3D parallelism methods,” Ryu mentioned. “NeMo Megatron is constantly adopting new options, which is the largest benefit we expect it affords in bettering our mannequin accuracy.”

3D parallelism — a distributed coaching methodology during which an especially large-scale deep studying mannequin is partitioned throughout a number of units — was essential for coaching KT’s LLMs. NeMo Megatron enabled the staff to simply accomplish this job with the best throughput, in response to Ryu.

“We thought of utilizing different platforms, but it surely was tough to seek out an alternate that gives full-stack environments — from the {hardware} degree to the inference degree,” he added. “NVIDIA additionally gives distinctive experience from product, engineering groups and extra, so we simply solved a number of technical points.”

Utilizing hyperparameter optimization instruments in NeMo Megatron, KT educated its LLMs 2x sooner than with different frameworks, Ryu mentioned. These instruments permit customers to mechanically discover the most effective configurations for LLM coaching and inference, easing and dashing the event and deployment course of.

KT can be planning to make use of the NVIDIA Triton Inference Server to supply an optimized real-time inference service, in addition to NVIDIA Base Command Supervisor to simply monitor and handle lots of of nodes in its AI cluster.

“Due to LLMs, KT can launch aggressive merchandise sooner than ever,” Ryu mentioned. “We additionally consider that our expertise can drive innovation from different corporations, as it may be used to enhance their worth and create modern merchandise.”

KT plans to launch greater than 20 pure language understanding and pure language era APIs for builders in November. The appliance programming interfaces can be utilized for duties together with doc summarization and classification, emotion recognition, and filtering of probably inappropriate content material.

Study extra about breakthrough applied sciences for the period of AI and the metaverse at NVIDIA GTC, operating on-line by Thursday, Sept. 22. 

Watch NVIDIA founder and CEO Jensen Huang’s keynote deal with in replay under:

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