List: 6/23 | Curated by Connor Shorten

Jun 24, 2023
9 stories
6/23
Shawn Chen
Unlocking Data Relationships: Embedding with Large Language Models and Visualizing with Neo4j…Why do We Want to Embed Node Labels and Properties Using LLM?
Jun 15, 2023
Jun 15, 2023
Maverick Ventures
AI’s Inflection Point: How MosaicML is making AI models more accessibleBy Jéssica Leão and Ambar Bhattacharyya
Feb 17, 2023
Feb 17, 2023
In
Better Programming
by
Justin Swansburg
How ChatGPT Can Improve Your ML ModelsLeverage generative AI to improve your model performance with this simple trick
Apr 18, 2023
4
Apr 18, 2023
4
In
TDS Archive
by
Eduardo Alvarez
Running Falcon Inference on a CPU with Hugging Face PipelinesLearn how to run inference with 7-billion and 40-billion Falcon on a 4th Gen Xeon CPU with Hugging Face Pipelines
Jun 6, 2023
2
Jun 6, 2023
2
In
LlamaIndex Blog
by
Jerry Liu
Build and Evaluate LLM Apps with LlamaIndex and TruLensAuthors: Anupam Datta, Shayak Sen, Jerry Liu, Simon Suo
Jun 23, 2023
2
Jun 23, 2023
2
Jesus Rodriguez
Meet LMQL: An Open Source Query Language for LLMsDeveloped by ETH Zurich, the language explores new paradigms for LLM programming.
Jun 14, 2023
3
Jun 14, 2023
3
In
TDS Archive
by
Sean Smith
Thinking about fine-tuning an LLM? Here’s 3 considerations before you get startedOrganization specific LLMs are a big request for many Data Science teams, here’s 3 ideas to help ensure you invest your resources wisely.
Jun 15, 2023
6
Jun 15, 2023
6
In
TDS Archive
by
Samuele Mazzanti
When You Should Prefer “Thompson Sampling” Over A/B TestsAn in-depth explanation of “Thompson Sampling”, a more efficient alternative to A/B testing for online learning
Jun 13, 2023
6
Jun 13, 2023
6
In
TDS Archive
by
Elena Samuylova
How to Measure Drift in ML EmbeddingsWe evaluated five embedding drift detection methods
Jun 14, 2023
4
Jun 14, 2023
4