Experimental News Clipping Site

Tag: in-context learning

  • Cloud Blog: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework

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    Kurt Seifried
    in

    Source URL: https://cloud.google.com/blog/topics/customers/box-ai-agents-with-googles-agent-2-agent-protocol/ Source: Cloud Blog Title: The secret to document intelligence: Box builds Enhanced Extract Agents using Google’s Agent-2-Agent framework Feedly Summary: Box is one of the original information sharing and collaboration platforms of the digital era. They’ve helped define how we work, and have continued to evolve those practices alongside successive waves of…

  • Hacker News: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf]

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    Kurt Seifried
    in

    Source URL: https://arxiv.org/abs/2502.03860 Source: Hacker News Title: Bolt: Bootstrap Long Chain-of-Thought in LLMs Without Distillation [pdf] Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces BOLT, a method designed to enhance the reasoning capabilities of large language models (LLMs) by generating long chains of thought (LongCoT) without relying on knowledge distillation. The…

  • Hacker News: AI Engineer Reading List

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    Kurt Seifried
    in

    Source URL: https://www.latent.space/p/2025-papers Source: Hacker News Title: AI Engineer Reading List Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text focuses on providing a curated reading list for AI engineers, particularly emphasizing recent advancements in large language models (LLMs) and related AI technologies. It is a practical guide designed to enhance the knowledge…

  • Hacker News: BERTs Are Generative In-Context Learners

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    system automation
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    Source URL: https://arxiv.org/abs/2406.04823 Source: Hacker News Title: BERTs Are Generative In-Context Learners Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper titled “BERTs are Generative In-Context Learners” explores the capabilities of masked language models, specifically DeBERTa, in performing generative tasks akin to those of causal language models like GPT. This demonstrates a significant…

  • Cloud Blog: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery

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    system automation
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    Source URL: https://cloud.google.com/blog/products/data-analytics/nl2sql-with-bigquery-and-gemini/ Source: Cloud Blog Title: Getting started with NL2SQL (natural language to SQL) with Gemini and BigQuery Feedly Summary: The rise of Natural Language Processing (NLP) combined with traditional Structured Query Language (SQL) has given rise to an exciting new technology known as Natural Language to SQL, or NL2SQL, which translates questions phrased…

  • Hamel’s Blog: Creating a LLM-as-a-Judge That Drives Business Results

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    system automation
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    Source URL: https://hamel.dev/blog/posts/llm-judge/ Source: Hamel’s Blog Title: Creating a LLM-as-a-Judge That Drives Business Results Feedly Summary: Earlier this year, I wrote Your AI product needs evals. Many of you asked, “How do I get started with LLM-as-a-judge?” This guide shares what I’ve learned after helping over 30 companies set up their evaluation systems. The Problem:…

  • Cloud Blog: When to use supervised fine-tuning for Gemini

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    system automation
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/supervised-fine-tuning-for-gemini-llm/ Source: Cloud Blog Title: When to use supervised fine-tuning for Gemini Feedly Summary: Have you ever wished you could get a foundation model to respond in a particular style, exhibit domain-specific expertise, or excel at a specific task? While foundation models like Gemini demonstrate remarkable capabilities out-of-the-box, there can be a gap…