The findings challenge assumptions about LLM reliability in enterprise use, where decision support and automation depend on AI-generated confidence.

Complex model architectures, demanding runtime computations, and transformer-specific operations introduce unique challenges.

CodeSteer is a smart assistant from MIT that automatically guides large language models to switch between generating text and code, and to refine its response, until it answers a query correctly.

Mu Language Model is a Small Language Model (SLM) from Microsoft that acts as an AI Agent for Windows Settings. Read this ...

Contribute to Mark-Hopkins-at-Williams/encoder-decoder-finetuning development by creating an account on GitHub.

Learn how to fine-tune large language models with LoRA, a cost-effective method for customizing AI without high hardware demands.

ReceipeGPT2 is your own AI-based Chef which can make new recipes for you. Just you need to enter the ingredients of your choice be it onion, capsicum, potatoes or chilies and bang new sizzling mouth ...

Recently, the Segment Anything Model (SAM), a large pre-training model, has achieved excellent results on natural image segmentation tasks and received extensive attention. However, SAM on medical ...

By combining fine-tuning and in-context learning, you get LLMs that can learn tasks that would be too difficult or expensive for either method ...

Learn step-by-step techniques for preparing data and fine-tuning large language models to achieve exceptional performance.

SLM Series – Zencoder: Compact models maybe small, but they ARe mighty This is a guest post for the Computer Weekly Developer Network written by Andrew Filev in his capacity as CEO of Zencoder ...