IBM Journey to AI blog

SEPTEMBER 19, 2023

Auto-generated code suggestions can increase developers’ productivity and optimize their workflow by providing straightforward answers, handling routine coding tasks, reducing the need to context switch and conserving mental energy. It can also modernize legacy code and translate code from one programming language to another.

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Auto-complete Generative AI Neural Network Artificial Intelligence 220

NVIDIA

APRIL 3, 2024

ACE microservices allow developers to integrate state-of-the-art generative AI models into digital avatars in games and applications. With ACE microservices, NPCs can dynamically interact and converse with players in-game and in real time. NPCs tap up to four AI models to hear, process, generate dialogue and respond.

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IBM Journey to AI blog

JULY 17, 2023

Generative AI has the potential to significantly disrupt customer care, leveraging large language models (LLMs) and deep learning techniques designed to understand complex inquiries and offer to generate more human-like conversational responses.

Generative AI 145

Generative AI Auto-complete AI AI 145

Towards AI

FEBRUARY 22, 2024

Conversational AI and Chatbots: To offer 24/7 customer support and answer basic inquiries instantly. Downsides of AI-powered CRMs Cost: AI-powered CRMs can be pricier than traditional options. The Black Box Issue: Some AI models lack transparency, making it hard to understand their decision-making.

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Automation Auto-complete AI AI 90

Unite.AI

NOVEMBER 2, 2023

Through the analysis of conversations, AI can provide valuable information to help you comprehensively understand your customers and their journey. Using AI-powered insights, businesses arm themselves with a complete picture of the lead journey, from initial contact to final outcomes, across both digital and offline channels.

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Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set. Catch the sessions you missed!

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 52

Snorkel AI

JUNE 7, 2023

The session highlighted the “last mile” problem in AI applications and emphasized the importance of data-centric approaches in achieving production-level accuracy. Mann’s formal education in machine learning, he said, came during a time when you optimized a model against a test set. Learn more, live!

Data Scientist 52

Data Scientist Large Language Models Machine Learning AI 52