Master AI Predictability: Pro Techniques for Reliable Outputs
Focused View
54:38
01 - Embracing the unpredictable.mp4
00:48
02 - What you should know.mp4
01:03
03 - Warning Use responsibly.mp4
00:41
04 - Language model overview.mp4
06:14
05 - Hallucinations, biases, and randomness.mp4
02:36
01 - The value and limitation of processing user prompts.mp4
01:53
02 - Leveraging system instructions.mp4
03:06
03 - Few shot learning.mp4
04:03
04 - Challenge Use system instructions.mp4
00:54
05 - Solution Use system instructions.mp4
02:30
01 - Keeping a human in the loop.mp4
00:38
02 - Designing for human oversight.mp4
02:10
03 - The value of user feedback.mp4
01:38
04 - Conveying risks to users.mp4
01:00
01 - Using moderation components.mp4
03:53
02 - Fine-tuning models.mp4
04:22
03 - Semantic similarity search.mp4
05:33
04 - RAG Value and drawbacks.mp4
07:26
05 - Chunking approaches for RAG.mp4
01:49
06 - Adding re-rank to RAG systems.mp4
01:12
01 - Staying up-to-date with evolving tech.mp4
01:09
More details
Course Overview
This course dives deep into working with AI and large language models, teaching you how to create reliable systems through responsible usage, effective prompting techniques, and human oversight. Learn to mitigate biases, hallucinations, and randomness while implementing advanced AI solutions.
What You'll Learn
- Craft effective user prompts and leverage system instructions
- Implement human oversight for ethical AI decision-making
- Use RAG systems, semantic search, and fine-tuning for better performance
Who This Is For
- AI developers seeking more predictable model outputs
- Technical teams implementing responsible AI systems
- Product managers overseeing AI-powered applications
Key Benefits
- Reduce AI hallucinations and biases in your outputs
- Improve information retrieval with advanced RAG techniques
- Maintain ethical standards while boosting AI efficiency
Curriculum Highlights
- Enhancing User Prompts with System Instructions
- Implementing Human Oversight Systems
- Building Robust AI with RAG and Fine-Tuning
Focused display
Category
- language english
- Training sessions 21
- duration 54:38
- English subtitles has
- Release Date 2025/05/22
