Everyone's racing to build the next frontier LLM. Bigger, more expensive, more centralized.But there's a quieter shift happening โ one that looks a lot like open source software's origin story.
A thread on the Cathedral and the SLM Ecosystem ๐งต
Full breakdown of the analogy โ and what it means for how enterprises should actually be building their AI stack โ is in the article. Link in the next reply.
Curious where you land: cathedral, bazaar, or portfolio of both?
#AIGovernance#SLM
@elenikiforia Thanks for your feedback! We have published a case study around how to evaluate AI solutions in the Candidate Authentication space. Please register at https://t.co/ASXqW5mP17 to receive a copy of the case study.
Fresh off the press!
We have published a case study on how a Talent AI evaluation framework can help in assessing a Candidate Authentication workflow.
โ๏ธ Register for our newsletter to download the Case Study - https://t.co/WANJdzULEz
#datascience#peopleanalytics #talentanalytics
9/9
If you would to like explore how to deploy an Effectiveness Measurement Framework for your Talent AI investments, please feel free to reach us at [email protected]
8/9 Lean Six Sigma in Talent AI -
To drive a really scalable AI implementation cadence in organizations (with models being launched on a periodic basis) - it imperative to look at every model implementation as standardized project spanning repeatable elements i.e. Stakeholder Education >> Data Collection >> Data Validation (including Imputation and Privacy Checks) >> Model Development >> Validation Testing >> Stakeholder the Communication >> Governance Initiation. With a structured in place, a Lean Six Sigma approach can ensure Flow Enablement and Variability Control. The key here is standardization.