NLP Archives - Page 2 of 3 - AI Papers Academy

ReFT: Representation Finetuning for Language Models

Learn about Representation Finetuning (ReFT) by Stanford University, a method to fine-tune large language models (LLMs) efficiently.

What if we could discover OpenAI models internal weights? In this post we dive into a paper which presents an attack that steals LLMs data.

In this post we dive into the era of 1-bit LLMs paper by Microsoft, which shows a promising direction for low cost large language models

In this post we dive into the Self-Rewarding Language Models paper by Meta AI, which can possibly be a step towards open-source AGI

Diving into a research paper introducing an innovative method to enhance LLM inference efficiency using memory offloading

In this post we dive into LLM in a flash paper by Apple, that introduces a method to run LLMs on devices that have limited memory

Dive into Orca 2 research paper, the second version of the successful Orca small language model from Microsoft,

In this post we dive into Microsoft’s CODEFUSION, an approach to use diffusion models for code generation that achieves remarkable results

In this post we dive into Table-GPT, a novel research by Microsoft, that empowers LLMs to understand tabular data

In this post we dive into the Large Language Models As Optimizers paper by Google DeepMind, which introduces OPRO (Optimization by PROmpting).