Together with AtomEcho, we have developed a comprehensive 3-day course to empower companies with a firm understanding of LLM approaches, applications and considerations.
Industry-leading LLM techniques
Solutions and applications
Commonly faced challenges
The course aims to shed light on the intricate process of bringing LLM technology from concept to practical applications, and uncover its potential to reshape the future of business and information technology.
AtomEcho is dedicated to enhancing the professional capabilities of LLMs. Through developing Atom LLM and years of expertise in information retrieval technology, AtomEcho builds personalized intelligent data assistants for businesses and individuals.
Session 0.1 - From Industry: Large Language Model – Next Industrial Revolution
Session 0.2 - From Academia: State-of-the-art Large Language Model Research Outcome and Future Breakthroughs
Session 0.3 - From NVIDIA: Best AI Computation Hardware and Software Ecosystems
Session 1.1 - Technical Roadmap of Natural Language Processing Technologies
Session 1.2 - Core Technologies of Large Language Models
Session 1.3 - Practice of Pretraining Large Language Models
Session 1.4 - Practice of Fine-tuning Large Language Models
Session 2.1 - Evolution Roadmap of Large Language Models
Session 2.2 - Reinforcement Learning
Session 2.3 - Model Inference and Deployment
Session 2.4 - Large Model Knowledge Base Retrieval
Discussion Session
Session 3.1 - Analysis and Tutorial of Assistants Technology
Session 3.2 - Multilingual Large Language Models
Session 3.3 - Architecture of Intelligent Agents
Session 3.4 - Multimodal Large Models
Discussion Session
Attendees will undertake a hands-on assignment. Computation resources and guidance will be provided.
Task Objective
To empower attendees with first-hand experience in model-building pipelines, in the context of real-world problems.
Computation Resources
Datasets Used / Provided
Step 1:Data Processing
Step 2:Model Selection and Model Fine-tuning
Step 3:Vector Database Supported Retrieval Augmented Generation
Step 4:Model Pertaining and Language Alignment (Optional)
0.5 days for Managers
3 days for AI Developers
0.5 days for Managers
3 days for AI Developers
Practical Assignment for AI Developers with 40 A100/H100 GPU Hours