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S5E5 Mastering AI-enhanced Content Creation using Retrieval-Augmented Generation (RAG) with Manny Silva
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Can outdated training data and hallucinations in large language models (LLMs) hold back your AI projects?
Manny Silva joins us to uncover Retrieval Augmented Generation (RAG), a technique that improves the output of LLMs. He shares practical insights with real-world applications that ensure AI-generated responses are accurate and contextually relevant.
The future of content creation is going to be automated. Manny reveals how we can cut down the time required to produce first drafts by using developer tools and open-source communities. Learn about integrating engineering and design documents, and templates from the Good Docs Project, all optimized for LLM inference.
This episode also explores the delicate balance between AI and human creativity in writing, emphasizing that while AI can handle initial drafts, human input is invaluable for refinement. Tune in for a compelling discussion that will transform how you approach AI and content creation.
Link to the video demo for RAG. The demo runs from 43:10 to 49:30.
Guest Bio
A tech writer by day and engineer by night, Manny Silva is Head of Docs at Skyflow, codifier of Docs as Tests, and the creator of Doc Detective. He’s passionate about intuitive and scalable developer experiences and likes diving into the deep end as the 0th developer.
Resources
- Engineer-focused article on RAG for Stack Overflow - Manny Silva
- Taking RAG to Production with the MongoDB Documentation AI Chatbot- Ben Perlmutter from MongoDB
Show Credits
- Intro and outro music - Az
- Audio engineer - RJ Basilio
Capítulos
1. S5E5 Mastering AI-enhanced Content Creation using Retrieval-Augmented Generation (RAG) with Manny Silva (00:00:00)
2. RAG Framework and Vector Databases (00:00:04)
3. Optimizing Content for LLM Systems (00:10:48)
4. Advanced Content Creation Automation Techniques (00:22:08)
5. Content Creation and Scalability Strategies (00:29:03)
6. AI and Human Intervention in Writing (00:37:29)
7. Exploring Creativity in Technical Communication (00:49:54)
49 episódios
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