Unite.AI

OCTOBER 20, 2023

AI models in production. Today, seven in 10 companies are experimenting with generative AI, meaning that the number of AI models in production will skyrocket over the coming years. As a result, industry discussions around responsible AI have taken on greater urgency. In 2022, companies had an average of 3.8

Responsible AI 283

Responsible AI Generative AI AI AI 283

Towards AI

JANUARY 24, 2024

Last Updated on January 25, 2024 by Editorial Team Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week, Meta’s AI strategy was in focus, with Mark Zuckerberg boasting of Meta’s GPU hoard and outlining his open-source-focused AI vision.

Large Language Models 86

Large Language Models LLM AI AI 86

Unite.AI

FEBRUARY 15, 2024

This collaboration is crucial for aligning our AI strategy with the specific needs of our customers, which are constantly evolving. Given the rapid pace of advancements in AI, I dedicate a substantial amount of time to staying abreast of the latest developments and trends in the field.

AI Researcher 162

AI Researcher AI Research Machine Learning AI 162

AWS Machine Learning Blog

MAY 9, 2024

The rapid advancements in artificial intelligence and machine learning (AI/ML) have made these technologies a transformative force across industries. According to a McKinsey study , across the financial services industry (FSI), generative AI is projected to deliver over $400 billion (5%) of industry revenue in productivity benefits.

ML 99

ML Generative AI AI AI 99

IBM Journey to AI blog

APRIL 18, 2024

AI systems like LaMDA and GPT-3 excel at generating human-quality text, accomplishing specific tasks, translating languages as needed, and creating different kinds of creative content. On a smaller scale, some organizations are reallocating gen AI budgets towards headcount savings, particularly in customer service.

Neural Network 225

Neural Network LLM AI AI 225

Snorkel AI

JUNE 12, 2023

Our goal is to enable every enterprise to build AI that works for their unique data and use cases and to turn this into a powerful AI moat for their business. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., Footnotes (1) Brants et al.

Data Platform 145

Data Platform Large Language Models Software Development ChatGPT 145

Snorkel AI

JUNE 12, 2023

Our goal is to enable every enterprise to build AI that works for their unique data and use cases and to turn this into a powerful AI moat for their business. Snorkel GenFlow: For programmatic curation, annotation, and management of instruction datasets for generative AI use cases (e.g., Footnotes (1) Brants et al.

Data Platform 141

Data Platform Large Language Models Software Development ChatGPT 141