Conversational AI is changing the way humans interact with machines, bringing great convenience to our lives and work.
However, conversational AI encompasses various technical fields such as automatic speech recognition, natural language processing, and speech synthesis. Developing a conversational AI from scratch requires significant investment in terms of cost and processes.
So, what methods can allow enthusiasts with no programming background or time-pressed AI developers to quickly and efficiently develop high-precision speech language models?
Of course, the answer is: NVIDIA NeMo!
NeMo is an open-source toolkit tailored for developers in the conversational AI field by NVIDIA. Developers can leverage NeMo to quickly and easily develop speech and language models, including model building, training, and fine-tuning. It can be widely applied in fields such as automatic speech recognition (ASR), natural language processing (NLP), and text-to-speech (TTS).
To help everyone better get started with NeMo and develop high-performance conversational AI models, Quantum Bit, in collaboration with NVIDIA, is launching three sessions of NLP public courses. NVIDIA experts will teach you how to quickly get started with natural language processing through theoretical explanations and practical demonstrations, and implement NLP information extraction tasks and speech generation tasks.
Course Highlights:
Quick Start: AI enthusiasts with no background can get started quickly.
One-stop Tool: Learn the integrated models and methods of the conversational AI toolkit, handling various subtasks of speech semantics in one stop.
Rapid Setup: Provides ready-to-use interfaces for AI/NLP frameworks, out-of-the-box, no coding required.
Session 01: Quickly Get Started with Natural Language Processing using NeMo
Natural Language Processing (NLP) is a science that integrates linguistics, computer science, and mathematics. It mainly studies various theories and methods that enable effective communication between humans and computers using natural language, making machines “smarter”.
The NeMo conversational AI toolkit conveniently calls NLP function libraries and pre-trained NLP models, quickly completing various NLP subtasks.
This online seminar is primarily aimed at users who need to quickly develop speech and semantic models. Through this online seminar, you will gain the following content:
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Understand natural language processing and its subtasks
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Understand the workflow and principles of natural language processing
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Understand the groundbreaking NLP model Bert
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Experience using NeMo to quickly complete machine translation tasks in natural language processing
Date:
June 30 (Wednesday), 20:00-21:30
Free Registration:
Scan the code ↓ Follow the “NVIDIA Developer Community” to pop up the registration button, or click “Read the original text” to fill out the registration form.
△ Please fill in your registration information accurately (especially your email~)
p.s After submitting your registration, the NVIDIA community assistant WeChat will pop up. Please be sure to add friends and join the live broadcast group to obtain course PPT, source code, and other materials~
Session 02: Quickly Complete Information Extraction Tasks in Natural Language Processing using NeMo
Information extraction (IE) is the task of automatically extracting structured information from unstructured or semi-structured readable documents or other electronic representations. Information extraction technology provides essential technical support for applications like text mining, intelligent retrieval, intelligent dialogue, knowledge graphs, and recommendation systems.
This online seminar is primarily aimed at developers with speech semantics and AI development needs. Through this course, you will gain the following content:
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Theory of information extraction technology
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NER Named Entity Recognition
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How to build a custom NER dataset suitable for NeMo
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Understand the information extraction models in NeMo
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How to quickly complete NER tasks using NeMo
Live Broadcast Time:
July 14 (Wednesday), 20:00-21:30
Free Registration:
Please scan the code ↓ Add the Quantum Bit assistant and note 02. The registration channel will notify you to fill in the registration information once opened:
Session 03: Quickly Complete Speech Generation Tasks using NeMo
Speech synthesis, also known as text-to-speech (TTS) technology, can convert textual information into standard fluent speech in real-time, effectively giving machines an artificially synthesized “mouth”. TTS involves multiple disciplines, such as acoustics, linguistics, digital signal processing, and computer science.
NeMo integrates models and methods for automatic speech recognition, natural language processing, and speech synthesis, facilitating the use of advanced pre-trained models to quickly complete various subtasks in conversational AI.
This online seminar is primarily aimed at developers with speech semantics and artificial intelligence development needs. Through this online seminar, you will gain the following content:
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Understand the concept and development history of TTS
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Understand the workflow and principles of TTS
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Understand the Tacotron2 and WaveGlow TTS models
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Quickly complete TTS tasks using NeMo
Live Broadcast Time:
July 28 (Wednesday), 20:00-21:30
Free Registration:
Please scan the code ↓ Add the assistant and note 03. The registration channel will notify you to fill in the registration information once opened:
Guest Speaker
Yipeng Li, NVIDIA Developer Community Manager. He has many years of experience in data analysis modeling and AI natural language processing development. He has rich practical experience and insights in technologies such as automatic speech recognition, natural language processing, and natural language understanding.
Click “Read the original text” to register for the first session live broadcast and follow Teacher Yipeng to get started with natural language processing~
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