Perspectives from the frontier
Updates, insights and stories from the people building Pareto.
Designing robust human studies for AI safety evaluations
A comprehensive guide to identifying vulnerabilities in AI models through systematic jailbreaking research, exploring methodologies, challenges, and potential defenses.
Designing robust human studies for AI safety evaluations
A comprehensive guide to identifying vulnerabilities in AI models through systematic jailbreaking research, exploring methodologies, challenges, and potential defenses.
The ultimate guide to retrieval-augmented generation (RAG)
Retrieval-Augmented Generation (RAG) merges retrieval-based models, which fetch relevant information from a database, with generation-based models like GPT, which generate text. It begins by retrieving pertinent documents based on a query. Then, it uses this retrieved information alongside the query to produce a response. This fusion allows RAG to provide accurate, diverse, and contextually appropriate responses, making it effective for tasks like question answering and content generation.
The ultimate guide to retrieval-augmented generation (RAG)
Retrieval-Augmented Generation (RAG) merges retrieval-based models, which fetch relevant information from a database, with generation-based models like GPT, which generate text. It begins by retrieving pertinent documents based on a query. Then, it uses this retrieved information alongside the query to produce a response. This fusion allows RAG to provide accurate, diverse, and contextually appropriate responses, making it effective for tasks like question answering and content generation.
Debating with More Persuasive LLMs Leads to More Truthful Answers
How structured LLM debate helps weaker models and humans evaluate stronger ones more accurately
Debating with More Persuasive LLMs Leads to More Truthful Answers
How structured LLM debate helps weaker models and humans evaluate stronger ones more accurately
Reinforcement learning from human feedback: everything you need to know
In this blog, we explain what RLHF is, its applications in the world of machine learning, and how it enables agents to optimize their decisions through human-guided interactions, enhancing their performance and real-world relevance.
Reinforcement learning from human feedback: everything you need to know
In this blog, we explain what RLHF is, its applications in the world of machine learning, and how it enables agents to optimize their decisions through human-guided interactions, enhancing their performance and real-world relevance.