After much anticipation, an extra free session is added – don't miss out! Get on board with the AI 2.0 generation now!
The February 10th event was a huge success! Thank you all for your enthusiastic support! Don't miss out! ChatGPT's "Year Zero of Generative AI" event is here! Register now to learn about essential generative AI technology trends and techniques, as well as the BLOOM 176B training results. Plus, a detailed introduction to high-performance HPC environments!
What are the hottest AI innovation trends in 2023?
According to VentureBeat, an American technology blog, AI experts are particularly optimistic about three trends in AI innovation in 2023: 1. Workflow automation and "human-centric" AI solutions; 2. Data-driven AI decision-making; and 3. Generative AI applications. Natural Language Processing (NLP) and Large Language Models (LMM), two technologies within the first trend, are particularly promising for their ability to scale business operations and their progress.Obsessed with chatting on ChatGPT?
The recently popular ChatGPT is a chatbot developed based on a large-scale language model (LLM). An LLM is a natural language processing system with over 100 billion parameters, applicable to content generation, text summarization, chatbots, coding, and customized AI applications such as predicting protein structure and biomolecular properties. BLOOM (BigScience Large Open-science Open-access Multilingual Language Model) is the world's largest multilingual model, with 176 billion parameters, encompassing 46 languages and 13 programming languages. However, due to its massive data volume and model size, the development and maintenance of LLMs are extremely difficult, making them unsuitable for most companies to use and train.TWS Ready-to-Go for LLM!
Tai-Alibaba Cloud provides the world-class supercomputer AIHPC with GPU computing power. Through AIHPC's high-performance computing service (HPC) and high-speed file system (HFS), it is the best practice platform for "high-performance computing". It can provide massive 176B model training and inference of BLOOM to run quickly on TWCC. The training time gradually decreases with the number of nodes, achieving a near-linear speedup. It solves the challenge of multi-node inference. At the same time, it launches the only "AI High-Computing Power Consultant" one-stop integrated service in Taiwan, providing AI experts, technical environment resources and LLM development services to accelerate the transformation of enterprise needs into usable models and applications, realizing AI 2.0.
| Date: March 17, 2023 (Friday)
| Time: 15:00-16:00
| Target audience: NLP labs and related practitioners, data scientists, AI engineers, data analysts, cloud platform (next-generation IT) managers, machine learning engineers, technology professionals, computer science professors and students, etc.
You will learn:
- Trends and Applications of LLM
- The TWCC HPC and HFS system features enable linear acceleration of BLOOM Training.
- TWCC helps optimize large model inference systems, successfully overcoming the challenges of multi-node inference.
- TWCC offers the only AI consulting service in Taiwan, realizing AI 2.0.
Organizer: Taiwan Smart Cloud Services Co., Ltd.
Co-organizer: Taiwan Cloud & IoT Industry Association