A Guide to Large Language Model Abstractions
Date : 2024-01-30
Description
In this article in Two Sigma, the authors provide a comprehensive overview of the landscape of frameworks for abstracting interactions with and between large language models. They suggest two systems of organization for reasoning about the various approaches to, and philosophies of, LLM abstraction:
- Language Model System Interface Model (LMSI), a new seven layer abstraction, inspired by the OSI model in computer systems and networking, to stratify the programming and interaction frameworks that have emerged in recent months.
- A categorization of five families of LM Abstractions which they have identified to perform similar classes of functionality.
Read article here
Recently on :
Artificial Intelligence
Information Processing | Computing
WEB - 2025-11-13
Measuring political bias in Claude
Anthropic gives insights into their evaluation methods to measure political bias in models.
WEB - 2025-10-09
Defining and evaluating political bias in LLMs
OpenAI created a political bias evaluation that mirrors real-world usage to stress-test their models’ ability to remain objecti...
WEB - 2025-07-23
Preventing Woke AI In Federal Government
Citing concerns that ideological agendas like Diversity, Equity, and Inclusion (DEI) are compromising accuracy, this executive ...
WEB - 2025-07-10
America’s AI Action Plan
To win the global race for technological dominance, the US outlined a bold national strategy for unleashing innovation, buildin...
WEB - 2024-12-30
Fine-tune ModernBERT for text classification using synthetic data
David Berenstein explains how to finetune a ModernBERT model for text classification on a synthetic dataset generated from argi...