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S5E5 Mastering AI-enhanced Content Creation using Retrieval-Augmented Generation (RAG) with Manny Silva

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Manage episode 421226667 series 2891683
Inhoud geleverd door Zohra Mutabanna. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Zohra Mutabanna of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

Can outdated training data and hallucinations in large language models (LLMs) hold back your AI projects?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

Show Credits

  • Intro and outro music - Az
  • Audio engineer - RJ Basilio
  continue reading

Hoofdstukken

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 afleveringen

Artwork
iconDelen
 
Manage episode 421226667 series 2891683
Inhoud geleverd door Zohra Mutabanna. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Zohra Mutabanna of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

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

Show Credits

  • Intro and outro music - Az
  • Audio engineer - RJ Basilio
  continue reading

Hoofdstukken

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 afleveringen

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