Experimental News Clipping Site

Tag: accuracy

  • Hacker News: Machine Learning in Production (CMU Course)

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    Kurt Seifried
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    Source URL: https://mlip-cmu.github.io/s2025/ Source: Hacker News Title: Machine Learning in Production (CMU Course) Feedly Summary: Comments AI Summary and Description: Yes Summary: The provided text outlines a comprehensive Machine Learning in Production course offered at CMU for Spring 2025, emphasizing the development, deployment, and maintenance of ML systems while ensuring responsible AI practices. It integrates…

  • Wired: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot

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    Kurt Seifried
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    Source URL: https://www.wired.com/story/deepseek-chatbot-hands-on-vs-chatgpt/ Source: Wired Title: DeepSeek vs. ChatGPT: Hands On With DeepSeek’s R1 Chatbot Feedly Summary: DeekSeek’s chatbot with the R1 model is a stunning release from the Chinese startup. While it’s an innovation in training efficiency, hallucinations still run rampant. AI Summary and Description: Yes **Summary:** The emergence of DeepSeek’s AI chatbot, which…

  • Slashdot: Anthropic Builds RAG Directly Into Claude Models With New Citations API

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    Kurt Seifried
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    Source URL: https://slashdot.org/story/25/01/27/2129250/anthropic-builds-rag-directly-into-claude-models-with-new-citations-api Source: Slashdot Title: Anthropic Builds RAG Directly Into Claude Models With New Citations API Feedly Summary: AI Summary and Description: Yes Summary: Anthropic has introduced a new feature called Citations for its Claude models, enhancing their ability to provide accurate and traceable responses by linking answers directly to source documents. This development…

  • Simon Willison’s Weblog: The impact of competition and DeepSeek on Nvidia

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/27/deepseek-nvidia/ Source: Simon Willison’s Weblog Title: The impact of competition and DeepSeek on Nvidia Feedly Summary: The impact of competition and DeepSeek on Nvidia Long, excellent piece by Jeffrey Emanuel capturing the current state of the AI/LLM industry. The original title is “The Short Case for Nvidia Stock" – I’m using the Hacker…

  • Hacker News: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Hacker News Title: Qwen2.5-7B-Instruct-1M and Qwen2.5-14B-Instruct-1M Feedly Summary: Comments AI Summary and Description: Yes Summary: The Qwen 2.5 model release from Alibaba introduces a significant advancement in Large Language Model (LLM) capabilities with its ability to process up to 1 million tokens. This increase in input capacity is made possible through…

  • Simon Willison’s Weblog: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens

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    Kurt Seifried
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    Source URL: https://simonwillison.net/2025/Jan/26/qwen25-1m/ Source: Simon Willison’s Weblog Title: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Feedly Summary: Qwen2.5-1M: Deploy Your Own Qwen with Context Length up to 1M Tokens Very significant new release from Alibaba’s Qwen team. Their openly licensed (sometimes Apache 2, sometimes Qwen license, I’ve had trouble keeping…

  • The Register: China’s DeepSeek just dropped a free challenger to OpenAI’s o1 – here’s how to use it on your PC

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    Kurt Seifried
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    Source URL: https://www.theregister.com/2025/01/26/deepseek_r1_ai_cot/ Source: The Register Title: China’s DeepSeek just dropped a free challenger to OpenAI’s o1 – here’s how to use it on your PC Feedly Summary: El Reg digs its claws into Middle Kingdom’s latest chain of thought model Hands on Chinese AI startup DeepSeek this week unveiled a family of LLMs it…

  • Cloud Blog: Introducing agent evaluation in Vertex AI Gen AI evaluation service

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    Kurt Seifried
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    Source URL: https://cloud.google.com/blog/products/ai-machine-learning/introducing-agent-evaluation-in-vertex-ai-gen-ai-evaluation-service/ Source: Cloud Blog Title: Introducing agent evaluation in Vertex AI Gen AI evaluation service Feedly Summary: Comprehensive agent evaluation is essential for building the next generation of reliable AI. It’s not enough to simply check the outputs; we need to understand the “why" behind an agent’s actions – its reasoning, decision-making process,…

  • Hacker News: Coping with dumb LLMs using classic ML

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    Kurt Seifried
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    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…

  • Hacker News: Supercharge vector search with ColBERT rerank in PostgreSQL

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    Kurt Seifried
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    Source URL: https://blog.vectorchord.ai/supercharge-vector-search-with-colbert-rerank-in-postgresql Source: Hacker News Title: Supercharge vector search with ColBERT rerank in PostgreSQL Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses ColBERT, an innovative method for vector search that enhances search accuracy by representing text as token-level multi-vectors rather than sentence-level embeddings. This approach retains nuanced information and improves…