🚀 Are you ready to revolutionize safety and risk management in your organization? Join us for an innovative course that combines cutting-edge theory with hands-on practice to harness the power of Generative AI and Large Language Models (LLMs) for critical environments.
🧠 What you'll learn:This program is designed to build a deep understanding of LLMs and their practical applications in safety, workplace security, and risk reduction. Through the GenAISafety approach, participants will:
Master theoretical concepts.
Apply these skills to real-world scenarios.
Create innovative AI solutions tailored to ethical values and specific sector needs.
Course Highlights
🔍 1. Knowledge (Remembering):
Introduction to LLMs: What they are, history of transformers, roles of attention and pretraining.
Familiarity with key concepts: Transformers, Multi-Headed Attention, Fine-Tuning, RLHF.
💡 2. Understanding:
Key differences: Transformer vs. RNN, Zero-Shot vs. Few-Shot Learning.
Foundations of text generation and inference processes in LLMs.
Use cases: Text generation, classification, and translation.
🛠️ 3. Application (Applying):
Prompt Engineering: Create prompts for various use cases, practice One-Shot and Few-Shot Learning.
Hands-on RAG (Retrieval-Augmented Generation): Integrate external data sources to enhance LLM capabilities.
📊 4. Analysis (Analyzing):
Structure of a Transformer: Tokenizer, Embedding, Encoder, Decoder.
Strengths and limitations of Fine-Tuning techniques like PEFT.
Case studies on managing LLM limitations: Hallucinations, biases, and mitigation strategies.
📜 5. Evaluation (Synthesizing):
Constitutional AI and Ethics: Develop guidelines to align AI with human values (helpfulness, honesty, safety).
Assess the effectiveness of PPO (Proximal Policy Optimization) to enhance model alignment with human preferences.
Implement RAG strategies for workplace safety and risk prevention.
🖥️ 6. Creation (Creating):
Develop a mini-project based on generative AI concepts.
Create a full AI workflow: Pretraining, RLHF fine-tuning, deployment with memory optimization.
Utilize tools like LangChain to design LLM-integrated AI applications for safety and risk management.
📅 Why Join?
✅ Learn from experts at the forefront of Generative AI and LLM development.✅ Gain hands-on experience with real-world tools like LangChain and advanced LLM techniques.✅ Create AI solutions that are ethical, scalable, and aligned with industry needs.
📌 Reserve Your Spot Today!👉 Sign up now
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