Writing

Thinking Out Loud

LLMs, Brains, Physical Reality. Can Large Language Models really lead to superintelligence?

If LLMs are bootstrapping themselves with the product of billions of years of evolution, how would their capacity expand beyond that?

Don’t RAG on Knowledge Graphs(Or Do): RAG, Knowledge Graphs, and Benchmarks – Part Zero

Foundational preamble to the benchmarking of knowledge graph-centric RAG flows

Don’t RAG on Knowledge Graphs(Or Do) Benchmarking: Theory behind using an LLM to Build Knowledge Graphs – Part One

Going into the nitty gritty (theoretical) details and nuances of building knowledge graphs with Large Language Models

Don’t RAG on Knowledge Graphs(Or Do) Benchmarking: Finally Building a Knowledge Graph – Part Two

Building a knowledge graph in Python with Claude 3 Haiku(Works for ≥ GPT 3.5 as well)

Don’t RAG on Knowledge Graphs(Or Do) Benchmarking: Adding a Vector Database – Part Three

Hybridizing our Knowledge Graphs With Vector Databases

Don’t RAG on Knowledge Graphs(Or Do) Benchmarking: Combining Knowledge Graphs and Vector DBs to Answer Questions(With Sourcing) – Part Four

Building the answering segment of the QA system centering around the knowledge graph and vector db once both are populated.