The hottest Knowledge Graphs Substack posts right now

And their main takeaways
Category
Top Technology Topics

RAG Implementations Fail Due To Insufficient Focus On Question Intent

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 18 Jul 24
🕹 Technology AI NLP Data science Machine Learning Knowledge Graphs
  1. Large Language Models (LLMs) can create useful text but often struggle with specific knowledge-based questions. They need better ways to understand the question's intent.
  2. Retrieval-augmented generation (RAG) systems try to solve this by using extra knowledge from sources like knowledge graphs, but they still make many mistakes.
  3. The Mindful-RAG approach focuses on understanding the question's intent more clearly and finding the right context in knowledge graphs to improve answers.

Charting the Graphical Roadmap to Smarter AI

Gradient Flow • 399 implied HN points • 02 Nov 23
🕹 Technology AI Machine Learning Knowledge Graphs
  1. Knowledge graphs can enhance large language models (LLMs) by providing structured factual knowledge about the world, improving their reasoning abilities and usefulness for real-world applications.
  2. Augmenting pre-training of LLMs with knowledge graphs through techniques like integrating into training objectives and model inputs can create models proficient in language generation and factual knowledge.
  3. Enterprises can leverage their data to enhance LLM applications with knowledge graphs, as tools exist to automatically turn semi-structured data into structured knowledge graphs.

Unveiling the Future of AI: Insights on AI Chips, Knowledge Graphs, and AI Regulations

Gradient Flow • 239 implied HN points • 09 Feb 23
🕹 Technology AI Hardware Knowledge Graphs Regulations Podcasts
  1. AI chips are evolving to meet the demands of models, like the focus on non-Nvidia backends making strides with software stacks such as PyTorch 2.0 and Triton.
  2. Knowledge graphs are escalating in importance for AI applications due to their ability to provide structured data representation, aiding in better comprehension and use of information.
  3. Anticipation is growing for AI regulations in 2023; teams are advised to prepare for regulatory changes in data and AI by consulting with experts and staying informed.
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Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability

Gradient Flow • 19 implied HN points • 03 Jun 21
🕹 Technology Data Exchange Funding Updates Knowledge Graphs
  1. Model monitoring is crucial for robust machine learning applications to ensure they perform as expected over time
  2. Delta Live Tables simplifies the ETL lifecycle by allowing data engineers to build pipelines using SQL queries
  3. Greykite, an open source library for time series forecasting, offers speed and flexibility but requires investment to learn for production use

Build data apps with markdown and SQL

ingest this! • 1 HN point • 19 Feb 24
🕹 Technology Data Engineering Open Source Knowledge Graphs SQL
  1. Build data apps using markdown and SQL with Evidence framework, offering a way to create polished data products.
  2. Explore the future synergy of knowledge graphs and large language models (LLMs) for enhanced technologies.
  3. Engage with the latest in data engineering by checking out a full exploration of the open-source data engineering landscape for 2024.