Natural language generation, recommendation systems, and anomaly detection are good opportunities to create strong business value with genAI. I’ve been working with artificial intelligence systems since the 1980s. Back then, AI was considered a revolution in leveraging computer systems to achieve…
A Guide to Key Terms in Generative AI and Large Language Models
Here is a list of common terms and concepts related to conversational AI, large language models, and generative AI: Natural Language Processing (NLP). Picture AI as a multilingual friend who doesn’t just speak multiple languages but understands and makes sense of…
Expanding AI Technology For Unstructured Biomedical Text Beyond English
The health industry is embracing the power of big data, cloud computing, and clinical analytics, harnessing data to deliver insights that can improve care and efficiency. Still, unstructured text remains a challenge—made even more complex by barriers of language. Doctors’ notes…
Azure Scales 530B Parameter GPT-3 Model With NVIDIA NeMo Megatron
Natural language processing (NLP), automated speech recognition (ASR), and text-to-speech (TTS) applications are becoming increasingly common in today’s world. Most companies have leveraged these technologies to create chatbots for managing customer questions and complaints, streamlining operations, and removing some of the…
Democratizing Access To Large-Scale Language Models With OPT-175B
Large language models — natural language processing (NLP) systems with more than 100 billion parameters — have transformed NLP and AI research over the last few years. Trained on a massive and varied volume of text, they show surprising new capabilities…
How Your Company Catches The AI Wave(s)
Business leaders see much in Artificial Intelligence, including new ways to save money, serve customers, and figure out what to build. What’s often tougher is deciding how to engage. That’s understandable, since getting into AI often raises questions about costs, data…
Shrinking Massive Neural Networks Used To Model Language
You don’t need a sledgehammer to crack a nut. Jonathan Frankle is researching artificial intelligence — not noshing pistachios — but the same philosophy applies to his “lottery ticket hypothesis.” It posits that, hidden within massive neural networks, leaner subnetworks can…
PyCon 2019 | Applied Deep Learning For NLP Using PyTorch
PyCon 2019 | Applied Deep Learning For NLP Using PyTorch Speaker: Elvis Saravia Natural language processing (NLP) has experienced a rapid growth over the last few years and has become an important skill to build applications that range from social…