Tag: few-shot prompting

  • Cloud Blog: Use Gemini 2.0 to speed up document extraction and lower costs

    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/use-gemini-2-0-to-speed-up-data-processing/ Source: Cloud Blog Title: Use Gemini 2.0 to speed up document extraction and lower costs Feedly Summary: A few weeks ago, Google DeepMind released Gemini 2.0 for everyone, including Gemini 2.0 Flash, Gemini 2.0 Flash-Lite, and Gemini 2.0 Pro (Experimental). All models support up to at least 1 million input tokens, which…

  • Hacker News: Lessons from building a small-scale AI application

    Source URL: https://www.thelis.org/blog/lessons-from-ai Source: Hacker News Title: Lessons from building a small-scale AI application Feedly Summary: Comments AI Summary and Description: Yes Summary: The text encapsulates critical lessons learned from constructing a small-scale AI application, emphasizing the differences between traditional programming and AI development, alongside the intricacies of managing data quality, training pipelines, and system…

  • Simon Willison’s Weblog: Creating a LLM-as-a-Judge that drives business results

    Source URL: https://simonwillison.net/2024/Oct/30/llm-as-a-judge/#atom-everything Source: Simon Willison’s Weblog Title: Creating a LLM-as-a-Judge that drives business results Feedly Summary: Creating a LLM-as-a-Judge that drives business results Hamel Husain’s sequel to Your AI product needs evals. This is packed with hard-won actionable advice. Hamel warns against using scores on a 1-5 scale, instead promoting an alternative he calls…

  • Hacker News: I want to break some laws too

    Source URL: https://snats.xyz/pages/articles/breaking_some_laws.html Source: Hacker News Title: I want to break some laws too Feedly Summary: Comments AI Summary and Description: Yes **Summary:** This text delves into the exploration of data pruning in AI training, specifically highlighting a project inspired by the Minipile paper that demonstrates the effectiveness of using significantly smaller datasets to achieve…