BayJarvis: Blogs on rlaif

llm In Brief: Welcome Google's Gemma - New Open LLM - 2024-02-22

Google has just introduced Gemma, an innovative family of state-of-the-art open Large Language Models (LLMs), marking a significant stride in the open-source AI landscape. This release, featuring both 7B and 2B parameter models, underscores Google's ongoing commitment to open-source AI. The Hugging Face team is thrilled to support this launch, ensuring seamless integration within our ecosystem. …

paper Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models - 2024-02-06

A key challenge has been improving these models beyond a certain point, especially without the continuous infusion of human-annotated data. A groundbreaking paper by Zixiang Chen, Yihe Deng, Huizhuo Yuan, Kaixuan Ji, and Quanquan Gu presents an innovative solution: Self-Play Fine-Tuning (SPIN). …

paper Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models - 2023-12-25

Language models (LMs) have been making remarkable strides in understanding and generating human language. Yet, their true potential in problem-solving tasks has been somewhat limited by the reliance on human-generated data. The groundbreaking paper, "Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models", introduces a novel method named Reinforced Self-Training (ReST) that promises to change this landscape. …

llm Harnessing Zephyr's Breeze: DPO Training on Mistral-7B-GPTQ for Language Model Alignment - 2023-11-09

We've taken on the exciting challenge of implementing the cutting-edge strategies presented in "ZEPHYR: Direct Distillation of LM Alignment". This paper's approach is not just theoretical—it's a blueprint for a significant leap in language model training. By adopting ZEPHYR's distilled direct preference optimization (dDPO), we've embarked on a code journey that brings these innovations from concept to reality. …

paper Branching Beyond PPO: How MCTS Sprouts Superior Text Generation - 2023-11-05

We've all been there - diligently using Proximal Policy Optimization (PPO) for text generation, only to wonder if there's more to be extracted from our models. If you've been in this boat, you're in for a treat! A recent paper under review for ICLR 2024 offers some intriguing insights. …

paper Constitutional AI - Training AI Systems to Be Helpful and Harmless Using AI Feedback - 2023-11-04

The paper proposes a new technique called "Constitutional AI" (CAI) to train AI systems like chatbots to be helpful, honest, and harmless without needing human feedback labels identifying harmful behaviors. Instead, the training relies entirely on AI-generated feedback guided by simple principles. This makes it possible to control AI behavior more precisely with far less human input. …