Fusing Knowledge Graphs and Large Language Models

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  • Опубликовано: 12 авг 2023
  • Large Language Models, KnowledgeGraphs, Hallucinations, LLMs, ChatGPT
    Large Language Models have a major weakness when it comes to facts and their reliability. Knowledge graphs are great for managing facts. These two technologies complement each other and have the potential to address some of the weaknesses that are preventing businesses from adopting LLMs. How to properly fuse LLMs and knowledge graphs is an active area of research.
    This webinar was originally streamed Thursday, August 10th on LinkedIn. During the live stream, there was a major audio problem. This video has been edited to address those issues. As a result of my editing, there are a few sudden transitions, but overall it's coherent.
    If you are interested in this topic and wish to connect. Here is a link to my LinkedIn profile:
    / rudy-agovic-phd-a35b9b9
    Link to GitHub repository with relevant references:
    github.com/RManLuo/Awesome-LL...

Комментарии • 12

  • @mulderbm
    @mulderbm Месяц назад

    Excellent thanks for sharing

  • @LokeshSharma-hc6vg
    @LokeshSharma-hc6vg 4 месяца назад +1

    Excellent content Rudy!
    I have never commented on any video, but here - Please do post more content :-)

  • @InPennyStock
    @InPennyStock 3 месяца назад +1

    Would love an update on this video based on today’s developments and technologies!

  • @andydataguy
    @andydataguy 9 месяцев назад +2

    Hope you make more long vids like this! Keep sharing 😁 there are very few people talking about KG's

  • @josephmacdonald1255
    @josephmacdonald1255 10 месяцев назад

    Excellent presentation which clearly delineates the need and benefits of integrating different AI tools to meet business and personal objectives,

  • @va940
    @va940 Месяц назад

    Awesome content, one of the best videos

  • @angstrom1058
    @angstrom1058 9 месяцев назад +2

    Post more, please, Rudy :)

  • @InPennyStock
    @InPennyStock 3 месяца назад

    Incredible!

  • @HelenJackson-pq4nm
    @HelenJackson-pq4nm 6 месяцев назад

    Great overview, thanks for posting

  • @alimahmoudmansour9681
    @alimahmoudmansour9681 8 месяцев назад

    Thank you. It is a very useful information

  • @PatrickDunca
    @PatrickDunca 9 месяцев назад

    I imagine you can keep adding more loops into this to form better guard rails. While I know nothing about this yet really, it seems like an answer generated by the LLM could be fed into a/another BERT LLM. The relations generated by this BERT could then be compared to the original knowledge graph again for consistency. Any inconsistencies could be fed back to a GPT model to form a new prompt. This prompt would ask for another iteration on the originally generated answer to fix the inconsistencies found.
    Very interesting video. Thank you!

  • @kushalneo
    @kushalneo 5 месяцев назад

    17:49 LLMs as Knowledge Base
    23:26 Knowledge Graphs
    25:30 Use of Ontology in AI
    27:31 Use of Knowledge Graph in Business
    29:25 Model Journeys
    32:26 Learning Over Graph
    35:02 Lowest Hanging Fruit: Based On Practical Use case
    50:03 Overview of Approaches
    1:11:53 Knowledge Graphs enhanced by LLMs.