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Slow Data, Fast Data and Adapting AI models for your business
Manage episode 437419501 series 2285741
With so much rapid change happening around AI models, is there a framework for when to build models, train models, fine-tune models, use RAG or something else? Let’s explore…
SHOW: 852
SHOW TRANSCRIPT: The Cloudcast #852 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW SPONSOR:
- Access Gartner cloud research come to life with the “The Future of Cloud in 2028: From Technology to Business Necessity,” webinar.
- Secure your seat for Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2024 with our early bird savings of $400 off standard rates now.
- Upgrade to the next generation of the cloud. Oracle Cloud Infrastructure
SHOW NOTES:
- What is Retrieval Augmented Generation (RAG)?
- Fine-Tuning vs. RAG
- Predictive AI vs. Generative AI
- Andrew Ng (always worth a watch IMO) https://youtu.be/sal78ACtGTc?si=dCoKXb5o4KB2XSer
- Harrison Chase (LangChain) https://youtu.be/pBBe1pk8hf4?si=lAit69_pDeRKcBGq
- https://blog.langchain.dev/what-is-a-cognitive-architecture/
- https://thenewstack.io/lets-get-agentic-langchain-and-llamaindex-talk-ai-agents/
- https://www.youtube.com/watch?v=N-IYzyi86yY
- https://blog.langchain.dev/what-is-an-agent/
- https://www.microsoft.com/en-us/research/project/autogen/
- https://www.crewai.com/
HOW SHOULD WE DECIDE WHICH AI MODEL TO USE FOR OUR APPLICATION?
- Build, buy, use open source, augment with your own data - so many decisions
- How often do you update models with new data?
HOW DO WE BRING OUR COMPANY DATA / KNOWLEDGE TO OUR AI MODELS?
- Large Static Models - Predictive AI
- LLMs + Slow-Changing Data - Align the Model
- LLMs + Fast-Changing Data - RAG
- LLMs + Agent-Learned Data - Agentic AI
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
908 つのエピソード
Manage episode 437419501 series 2285741
With so much rapid change happening around AI models, is there a framework for when to build models, train models, fine-tune models, use RAG or something else? Let’s explore…
SHOW: 852
SHOW TRANSCRIPT: The Cloudcast #852 Transcript
SHOW VIDEO: https://youtube.com/@TheCloudcastNET
CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotw
CHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"
SHOW SPONSOR:
- Access Gartner cloud research come to life with the “The Future of Cloud in 2028: From Technology to Business Necessity,” webinar.
- Secure your seat for Gartner IT Infrastructure, Operations & Cloud Strategies Conference 2024 with our early bird savings of $400 off standard rates now.
- Upgrade to the next generation of the cloud. Oracle Cloud Infrastructure
SHOW NOTES:
- What is Retrieval Augmented Generation (RAG)?
- Fine-Tuning vs. RAG
- Predictive AI vs. Generative AI
- Andrew Ng (always worth a watch IMO) https://youtu.be/sal78ACtGTc?si=dCoKXb5o4KB2XSer
- Harrison Chase (LangChain) https://youtu.be/pBBe1pk8hf4?si=lAit69_pDeRKcBGq
- https://blog.langchain.dev/what-is-a-cognitive-architecture/
- https://thenewstack.io/lets-get-agentic-langchain-and-llamaindex-talk-ai-agents/
- https://www.youtube.com/watch?v=N-IYzyi86yY
- https://blog.langchain.dev/what-is-an-agent/
- https://www.microsoft.com/en-us/research/project/autogen/
- https://www.crewai.com/
HOW SHOULD WE DECIDE WHICH AI MODEL TO USE FOR OUR APPLICATION?
- Build, buy, use open source, augment with your own data - so many decisions
- How often do you update models with new data?
HOW DO WE BRING OUR COMPANY DATA / KNOWLEDGE TO OUR AI MODELS?
- Large Static Models - Predictive AI
- LLMs + Slow-Changing Data - Align the Model
- LLMs + Fast-Changing Data - RAG
- LLMs + Agent-Learned Data - Agentic AI
FEEDBACK?
- Email: show at the cloudcast dot net
- Twitter: @cloudcastpod
- Instagram: @cloudcastpod
- TikTok: @cloudcastpod
908 つのエピソード
すべてのエピソード
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