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Rudy's AI Corner
Приєднався 8 лип 2023
Supercharge Your Revenue Growth Strategy with Knowledge Graphs
This is a recording of a LinkedIn webinar originally streamed on Dec 15, 2023. It provides an overview of knowledge graphs. There is also a Neo4j demo to illustrate how a knowledge graph could be constructed. In the last part of the webinar we discuss how knowledge graphs can enable AI
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Відео
Large Language Models Recent Developments and Implications for Business Success
Переглядів 2664 місяці тому
This is a webinar that originally streamed on Nov 29th 2023 on LinkedIn. The webinar was jointly organized with our partners from Arthur Lawrence. It was right after Sam Altman was ousted from OpenAI. Even though several weeks have passed, this presentation still contains useful information on LLM developments, Retrieval Augment Generation, and developments in the open source community and so o...
Reasoning Using Large Language Models
Переглядів 2,7 тис.7 місяців тому
We all know that LLMs have a weakness when it comes to facts. Reasoning, however, is about more than just facts. Suppose you provide all the facts to an LLM. Now the question is, will the model infer the desired answer? - Can the inference that LLMs do be thought of as reasoning? - If they are truly reasoning, how capable and reliable are they? - Can it be made more reliable? As businesses are ...
Fusing Knowledge Graphs and Large Language Models
Переглядів 9 тис.9 місяців тому
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 knowled...
Making Large Language Models Actionable For Business
Переглядів 35110 місяців тому
An educational webinar on large language models. Originally streamed live 07/06/2023.
Well done!
very nice lecture !!
Awesome lecture! Helped me greatly in getting an overview
Would love an update on this video based on today’s developments and technologies!
Incredible!
Excellent content Rudy! I have never commented on any video, but here - Please do post more content :-)
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.
Great overview, thanks for posting
Nice summary - Thank you for this. Looking forward to more of these.
Quite insightful! Thank you! Looking forward to more presentations from you!
Thank you. It is a very useful information
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!
Post more, please, Rudy :)
Hope you make more long vids like this! Keep sharing 😁 there are very few people talking about KG's
Excellent presentation which clearly delineates the need and benefits of integrating different AI tools to meet business and personal objectives,