| 1. Advanced Prompt Development Strategies.mp4 | 20.3 MB | ||
| 1. Choose a model that's right for you.mp4 | 9.6 MB | ||
| 1. Data Analytics.mp4 | 12 MB | ||
| 1. Ethical Challenges and Biases.mp4 | 11.2 MB | ||
| 1. Future Trends in LLMs.mp4 | 4.5 MB | ||
| 1. Introduction.mp4 | 19.9 MB | ||
| 1. Iterative Process of Prompt Development.mp4 | 10.5 MB | ||
| 1. What is Prompt What is Prompt Engineering.mp4 | 9.2 MB | ||
| 1.1 Anthropic.html | 102.4 B | ||
| 1.2 Google Gemini.html | 102.4 B | ||
| 1.3 Meta AI.html | 102.4 B | ||
| 1.4 Mistral.html | 102.4 B | ||
| 1.5 OpenAI.html | 102.4 B | ||
| 2. Architecture of LLMs.mp4 | 12.5 MB | ||
| 2. Closing Note.mp4 | 17.6 MB | ||
| 2. Customer Support.mp4 | 9.3 MB | ||
| 2. Fine-Tuning LLMs.mp4 | 7.3 MB | ||
| 2. Prompt Engineering Platforms.mp4 | 9.4 MB | ||
| 2. Prompt Structure and Roles.mp4 | 9.1 MB | ||
| 2. Responsible Use of LLMs.mp4 | 6.3 MB | ||
| 2. What are Large Language Models.mp4 | 7.2 MB | ||
| 2.1 Find the perfect AI tool for every task.html | 102.4 B | ||
| 2.2 Related resources from around the web.html | 102.4 B | ||
| 3. Drafting Enterprise Documents (RFP, SOP, EOI, NCR, NDA, ...).mp4 | 15.4 MB | ||
| 3. Evolution of Language Models.mp4 | 7.9 MB | ||
| 3. Retrieval-Augmented Generation (RAG).mp4 | 5.5 MB | ||
| 3. Strategies for Effective Prompt Engineering.mp4 | 21.3 MB | ||
| 3. What are Tokens.mp4 | 9.1 MB | ||
| 3.1 You can use the tool below to understand how a piece of text might be tokenized by a language model, and the total count of tokens in that piece of text..html | 102.4 B | ||
| 4. Adjusting LLM Parameters.mp4 | 2.6 MB | ||
| 4. Applications of LLMs.mp4 | 10.6 MB | ||
| 4. Content Creation and SEO.mp4 | 12.8 MB | ||
| 4. Quiz.html | 102.4 B | ||
| 5. Programming and Coding.mp4 | 5.8 MB | ||
| 5. Temperature.mp4 | 7.2 MB | ||
| 5.1 Best LLM for Coding Cloud vs Local.html | 102.4 B | ||
| 5.1 Explore resources, tutorials, API docs, and dynamic examples to get the most out of OpenAI's developer platform..html | 102.4 B | ||
| 6. Top-p.mp4 | 5.3 MB | ||
| 7. Max Tokens.mp4 | 6.5 MB | ||
| 8. Top-k and Other Parameters.mp4 | 4.6 MB | ||
| 9. Quiz.html | 102.4 B | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 43 total files | |||
Mastering Large Language Models: No-Code Prompt Engineering
https://DevCourseWeb.com
Published 5/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h | Size: 290 MB
Master the architecture of LLMs like GPT-4, learn iterative prompt engineering, and discover practical use cases.
What you'll learn
Understand how LLMs work, including their architecture, training process, and key parameters.
Learn effective prompt customization techniques, including iterative development, structuring prompts, and identifying roles.
Discover how to optimize LLM performance through parameter adjustment, including temperature, top-p, and max tokens.
Explore practical use cases in data analytics, sentiment analysis, and content creation to apply LLMs effectively.
Gain insights of ethical considerations in LLM use and learn best practices for responsible deployment.
Learn step-by-step tutorials on leveraging prompt engineering platforms, facilitating collaboration among teams, and maximizing productivity.
Requirements
No programming experience needed.
Whether you're a pro or just starting out, you'll find useful tips and ideas you can use right away.
No paid subscription required.
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