Tag: evaluator

  • Cloud Blog: AlloyDB AI drives innovation for application developers

    Source URL: https://cloud.google.com/blog/products/databases/alloydb-ai-drives-innovation-from-the-database/ Source: Cloud Blog Title: AlloyDB AI drives innovation for application developers Feedly Summary: The transformative power of AI and intelligent agents is driving profound changes, where software can understand natural language questions and commands — and even autonomously act on our behalf. At the heart of this revolution is the “AI-ready” enterprise…

  • Hacker News: Coping with dumb LLMs using classic ML

    Source URL: https://softwaredoug.com/blog/2025/01/21/llm-judge-decision-tree Source: Hacker News Title: Coping with dumb LLMs using classic ML Feedly Summary: Comments AI Summary and Description: Yes Summary: The text provides an innovative approach to utilizing local LLMs (large language models) to assess product relevance for e-commerce search queries. By collecting data on LLM decisions and comparing them against human…

  • Chip Huyen: Common pitfalls when building generative AI applications

    Source URL: https://huyenchip.com//2025/01/16/ai-engineering-pitfalls.html Source: Chip Huyen Title: Common pitfalls when building generative AI applications Feedly Summary: As we’re still in the early days of building applications with foundation models, it’s normal to make mistakes. This is a quick note with examples of some of the most common pitfalls that I’ve seen, both from public case…

  • Cloud Blog: Supervised Fine Tuning for Gemini: A best practices guide

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/master-gemini-sft/ Source: Cloud Blog Title: Supervised Fine Tuning for Gemini: A best practices guide Feedly Summary: Foundation models such as Gemini have revolutionized how we work, but sometimes they need guidance to excel at specific business tasks. Perhaps their answers are too long, or their summaries miss the mark. That’s where supervised fine-tuning…

  • Unit 42: Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability

    Source URL: https://unit42.paloaltonetworks.com/?p=138017 Source: Unit 42 Title: Bad Likert Judge: A Novel Multi-Turn Technique to Jailbreak LLMs by Misusing Their Evaluation Capability Feedly Summary: The jailbreak technique “Bad Likert Judge" manipulates LLMs to generate harmful content using Likert scales, exposing safety gaps in LLM guardrails. The post Bad Likert Judge: A Novel Multi-Turn Technique to…