CALL FOR SPEAKERS NOW OPEN FOR LANGUAGE INTELLIGENCE 2024 - Driving Business Value Via Multilingual AI #LI2024. File ur technology application use cases, presentations highlighting latest innovative technology developments & research outputs https://t.co/tQ2dpvrL2r by 30 June
The 3rd accepted workshop at SEMANTiCS focuses on unifying Large Language Models & Knowledge Graphs! Join for discussions on use cases & examples. #AI#NLP#KnowledgeGraphs#SEMANTiCS#SemanticsConf
For more information please check the website: https://t.co/zFU7Ztv09y
#AESLA#AESLA_seminario
🔁 RT @HardemanHildeML
👉 Merging terminology and knowledge: the power of EuroVoc & IATE through semantic integration
🗣️Jochen Hummel & Michael Wetzel
📆 18 April 2024
⏰ 10:00-11:30 (CET)
💻 online
Further information:
🔗https://t.co/nPuMfsBUpl
@lfstevens@GaryMarcus In technology, the final 1-2% is the most difficult part. First 95% can be done by average engineers, it takes geniuses and the creme of the creme engineers to execute the last 5%
Navigating beyond traditional translation management, our latest report introduces LangOps – the next step in integrating language solutions with core business operations. https://t.co/ttfeQp6xF9
#GenAI techniques like #RAG and #RAFT require relevant content to prompt or train #LLMs. Tough task for larger companies with a global customer base. Multilingual Knowledge System (#MKS) is setting new standards in global communication and AI deployment.
https://t.co/jpadQ4x25Y
I'm delighted to invite @JochenHummel and @wetzelmichael to our next online #ENDORSE follow-up event on 18 April (10.00-11.30 CET) on 'Merging terminology and knowledge: the power of EuroVoc & IATE through semantic integration'. All info: https://t.co/KcWmgqBwcA
@InteroperableEU
Sehr gut: Das #CanG hat den Bundesrat passiert! Der Versuch der Bayerischen Staatsregierung, das Gesetz zu stoppen, ist gescheitert. Die Kriminalisierung von #Cannabis-Konsumenten hat ab 1. April ein Ende. Unser Staat hat auch wirklich wichtigeres zu tun, als Kiffer zu verfolgen.
Our new short course, Knowledge Graphs for RAG, is now available! Knowledge graphs are a data structure that is great at capturing complex relationships between data of multiple types. By enabling more sophisticated retrieval of text than similarity search alone, knowledge graphs can improve the context you pass to the LLM and the performance of your RAG applications.
In this course, taught by @akollegger of @neo4j, you’ll
- Explore how knowledge graphs work by building a graph of public financial documents from scratch
- Learn to write queries that retrieve text and data from the graph and use it to enhance the context you pass to an LLM chatbot
- Combine a knowledge graph with a question-answer chain to build better RAG-powered chat systems
Sign up here! https://t.co/N3gceKrvib
Das Gesetz zur #Cannabis#Legalisierung hat Schwächen – und ist trotzdem richtig. Auch weil es nach der Pandemie das Verhältnis von Bürgern und Staat wieder ins Lot bringt, kommentiert @AngelikaSlavik https://t.co/1D409WMZDh
Markus Söder will zurück zur Wehrpflicht für Männer, lehnt aber eine Verpflichtung für Frauen ab, weil er meint, „dass in der unterschiedlichen Lebensplanung da unterschiedliche Akzente sind“.
Komplizierter hat noch nie jemand „Frauen an den Herd!“ gesagt.
Retrieval-Augmented Generation (RAG): From Theory to LangChain Implementation
From the theory of the original academic paper to its Python implementation with OpenAI, Weaviate, and LangChain by @helloiamleonie. https://t.co/k6LhxJ14FF