Tag: large language model

Source URL: https://microsoft.github.io/genaiscript Source: Hacker News Title: Generative AI Scripting Feedly Summary: Comments AI Summary and Description: Yes Summary: The text describes the GenAIScript, a scripting environment for programmatically assembling prompts aimed at LLMs (Large Language Models) using JavaScript. It highlights various functionalities such as data extraction, manipulation, and the automation of tasks, which are…

Hacker News: Ask HN: Local RAG with private knowledge base

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Source URL: https://news.ycombinator.com/item?id=41968366 Source: Hacker News Title: Ask HN: Local RAG with private knowledge base Feedly Summary: Comments AI Summary and Description: Yes Summary: The text addresses considerations related to Document Retrieval-Augmented Generation (RAG) strategies in the context of utilizing large language models (LLMs). Specifically, it emphasizes the importance of document formatting and preprocessing for…

Hacker News: DeepSeek v2.5 – open-source LLM comparable to GPT-4o, but 95% less expensive

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Source URL: https://www.deepseek.com/ Source: Hacker News Title: DeepSeek v2.5 – open-source LLM comparable to GPT-4o, but 95% less expensive Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses DeepSeek-V2.5, an open-source model that has achieved notable rankings against leading large models such as GPT-4 and LLaMA3-70B. Its specialization in areas like math,…

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

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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…

Simon Willison’s Weblog: docs.jina.ai – the Jina meta-prompt

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Source URL: https://simonwillison.net/2024/Oct/30/jina-meta-prompt/#atom-everything Source: Simon Willison’s Weblog Title: docs.jina.ai – the Jina meta-prompt Feedly Summary: docs.jina.ai – the Jina meta-prompt From Jina AI on Twitter: curl docs.jina.ai – This is our Meta-Prompt. It allows LLMs to understand our Reader, Embeddings, Reranker, and Classifier APIs for improved codegen. Using the meta-prompt is straightforward. Just copy the…

OpenAI : Introducing SimpleQA

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Source URL: https://openai.com/index/introducing-simpleqa Source: OpenAI Title: Introducing SimpleQA Feedly Summary: A factuality benchmark called SimpleQA that measures the ability for language models to answer short, fact-seeking questions. AI Summary and Description: Yes Summary: SimpleQA introduces a benchmark specifically designed to evaluate the performance of language models in accurately responding to fact-based questions. This development is…

Cloud Blog: Powerful infrastructure innovations for your AI-first future

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Source URL: https://cloud.google.com/blog/products/compute/trillium-sixth-generation-tpu-is-in-preview/ Source: Cloud Blog Title: Powerful infrastructure innovations for your AI-first future Feedly Summary: The rise of generative AI has ushered in an era of unprecedented innovation, demanding increasingly complex and more powerful AI models. These advanced models necessitate high-performance infrastructure capable of efficiently scaling AI training, tuning, and inferencing workloads while optimizing…

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

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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:…

Hacker News: Internal representations of LLMs encode information about truthfulness

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