The concept of "operating principles" was mentioned repeatedly in the book, Building Knowledge Graphs, by Jesuś Barrasa and Jim Webber, published by O'Reilly in 2023. Trustworthiness is an essential operating principle. Measures of trustworthiness, based on evidence and reason, can be stored as properties of entities and relationships within graphs. The Graphiti project incorporates the temporal dimension into the graph representation.
@FamilyYoutubeTV-x6d
5 сағат бұрын
INteresting. Sounds like category theory.
@stephenterry6372
17 сағат бұрын
I always enjoy the first half of the content, but always anticipate a more conclusive summary of findings.
@code4AI
15 сағат бұрын
The idea is, that then (!) you read the AI research papers that I discuss and you enjoy them in detail .... for your specific case. Smile.
@Adhil_parammel
Күн бұрын
Next:intelligence near edge of chaos.
@Martinsomethingelse
Күн бұрын
@@Adhil_parammel textgrad and llm reasoning woth RAD
@user-wr4yl7tx3w
21 сағат бұрын
Knowledge graphs seems like too much feature engineering. Is that a good direction?
@code4AI
17 сағат бұрын
There are huge graph-based databases available in medicine and pharmacogenomics. Why reinvent the wheel? Use the available resources, be compatible with current research based knowledge graphs.
@withme-Sirike
11 сағат бұрын
@@code4AI I am interested in this field but having challenges finding these graph-based databases. Any recommendation or suggestion of such sources?
@johnkintree763
4 сағат бұрын
Neo4j has a free cloud hosted option for learning and prototyping. They also have a free, open source desktop version. There are tutorials in abundance.
@Martinsomethingelse
Күн бұрын
Complex border training improves llm intelligence presenting border chaotic but still reasonably related data Yale just proved that emergent intelligence models are provided. As a matter of fact less teaining data but more complex data training generate more intelligente LLM s also Textgrad will use comprehensive algorithms to low dimensional transformative values that will optimize Semantics and Prompt engineering the optimization whatever the ML model is. If LLMs cant reach rthe Knowledge graphs you train 2 LlMs with complex data training with TextGrad to train with complex data, like yale said data training sets with complex data then use TextGrad to optimize KG. Border chaos Llms reach emergent reasining.
@juanpcadile
Күн бұрын
Can you share source to Yale work you mention?
@Adhil_parammel
20 сағат бұрын
@@juanpcadile search intelligence at edge of chaos
@thomasf17
12 сағат бұрын
Incredible work man!
@깐돌엄마-g9e
Күн бұрын
I love your Text animations in your video :)
@code4AI
17 сағат бұрын
Thank you. Great to have this feedback. On KZitem not only the content counts, but how you present it ...
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