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The rising popularity of youtube has made many people use it for a wide variety of purposes. Many people have started to understand the potential of this biggest video sharing platform and take advantage of it. Sharing your blog posts on youtube is one of the best things you can do on youtube. This can result in increased views and visibility for your blogs.
This talk explores the integration of Knowledge Graphs (KGs) and Large Language Models (LLM) to harness their combined power for improved natural language understanding. By leveraging KGs' structured knowledge and language models' text comprehension abilities, we can leverage the domain-specific–and potentially sensitive–data together with the general knowledge of LLMs.
We also examine how language models can enhance KGs through knowledge extraction and refinement. The integration of these technologies presents opportunities in various domains, from question-answering to chatbots, fostering more intelligent and context-aware applications.
I recently created a demo for some prospective clients of mine, demonstrating how to use Large Language Models (LLMs) together with graph databases like Neo4J.
The two have a lot of interesting interactions, namely that you can now create knowledge graphs easier than ever before, by having AI find the graph entities and relationships from your unstructured data, rather than having to do all that manually.
On top of that, graph databases also have some advantages for Retrieval Augmented Generation (RAG) applications compared to vector search, which is currently the prevailing approach to RAG.
YouTube’s evolution in 2023 is not just about technological advancements but a commitment to empowering creators globally. These new features and tools reflect YouTube’s dedication to fostering a diverse and thriving community of content creators. By enhancing monetization options, providing AI-driven content creation tools, offering improved analytics, strengthening copyright protection, and enhancing the live streaming experience, YouTube is equipping creators with the resources they need to succeed.
S. Hachmeier, R. Jäschke, und H. Saadatdoorabi. Proceedings of the Conference on ``Lernen, Wissen, Daten, Analysen'', 3341, Seite 213--226. Aachen, (2022)
Y. Wang, A. Mendez Mendez, M. Cartwright, und J. Bello. ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seite 880-884. (Mai 2019)
I. Orsolic, L. Skorin-Kapov, und T. Hoßfeld. 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX) (QoMEX 2019), (Juni 2019)
M. Seufert, N. Wehner, P. Casas, und F. Wamser. 14th International Conference on Network and Service Management (CNSM), Best Paper Award, Rome, Italy, (November 2018)