FLAN-UL2 vs. Phi
LLM Comparison
FLAN-UL2
Overview
Similar to FLAN-T5, FLAN-UL2 is a model based on Google's popular T5 architecture with an upgraded pre-training procedure dubbed UL2. On most NLU benchmarks, FLAN-UL2 outperforms FLAN-T5 by a significant margin.
Initial release: 2023-03-03
Reference
Further Reading
Phi
Overview
Phi is a series of compact language models developed by Microsoft using textbooks and synthetic data.
Phi-1 and Phi-2 are 1.3B and 2.7B parameter language models, respectively, developed by Microsoft to demonstrate the ability of smaller language models trained on high-quality data. Despite its size and not having an instruct finetuned counterpart, the Phi-2 model is well-suited to research and experimentation given its size and MIT license.
Initial release: 2023-06-20
Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.
Sapling APIMore Comparisons
FLAN-UL2 |
Phi |
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| Products & Features | ||
| Instruct Models | ||
| Coding Capability | ||
| Customization | ||
| Finetuning | ||
| Open Source | ||
| License | Apache 2.0 | MIT |
| Model Sizes | 20B | 1.3B, 2.7B |