JackColquitt

3 ms·

1. 1.▲
   by JackColquitt 2y ago

   Ever wonder what it's REALLY like inside the world of tech startups? Join Daniel Davis and Brennan Woodruff, the COO of GoCharlie (a generative AI startup), for a brutally honest conversation about the realities of creating an AI start
2. 2.▲
   by JackColquitt 2y ago

   Is it possible to retrieve information in a RAG system with matrix multiplication? The CTO and Cofounder of FalkorDB, Roi Lipman, explains how using GraphBLAS techniques, yes, you can store and query a knowledge graph with math! Highlights:
3. 3.▲
   State of AI Regulations(youtube.com)

   2 points by JackColquitt 2y ago|0 comments
4. 4.▲
   The Future of Data Engineering with LLMs Podcast(youtube.com)

   3 points by JackColquitt 2y ago|0 comments
5. 5.▲
   State of RAG Podcast(youtube.com)

   3 points by JackColquitt 2y ago|0 comments
6. 6.▲
   by JackColquitt 2y ago

   The biggest issue I have with semantic chunking is that it requires a LLM to help create the breakpoints. That's a pretty big cost and latency penalty, for potentially no benefit. That being said, we've seen chunk size have a huge
7. 7.▲
   by JackColquitt 2y ago

   One of the key differences is that the graph edges are being stored directly in scalable graph stores - either Cassandra or Neo4j. Also, the graph edges are structured as RDF ( https://www.w3.org/TR/rdf12-schema/ ).