Tag: data quality
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Simon Willison’s Weblog: OK, I can partly explain the LLM chess weirdness now
Source URL: https://simonwillison.net/2024/Nov/21/llm-chess/#atom-everything Source: Simon Willison’s Weblog Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: OK, I can partly explain the LLM chess weirdness now Last week Dynomight published Something weird is happening with LLMs and chess pointing out that most LLMs are terrible chess players with the exception of…
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Hacker News: OK, I can partly explain the LLM chess weirdness now
Source URL: https://dynomight.net/more-chess/ Source: Hacker News Title: OK, I can partly explain the LLM chess weirdness now Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text explores the unexpected performance of the GPT-3.5-turbo-instruct model in playing chess compared to other large language models (LLMs), primarily focusing on the effectiveness of prompting techniques, instruction…
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The Register: Thousands of AI agents later, who even remembers what they do?
Source URL: https://www.theregister.com/2024/11/21/gartner_agentic_ai/ Source: The Register Title: Thousands of AI agents later, who even remembers what they do? Feedly Summary: Gartner weighs the pros and cons of the latest enterprise hotness Among the optimism and opportunities perceived around AI agents, Gartner has spotted some risks – namely that organizations might create “thousands of bots, but…
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Hacker News: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks
Source URL: https://www.nasdaq.com/articles/ai-progress-stalls-openai-google-and-anthropic-hit-roadblocks Source: Hacker News Title: AI Progress Stalls as OpenAI, Google and Anthropic Hit Roadblocks Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the challenges faced by major AI companies such as OpenAI, Google, and Anthropic in their quest to develop more advanced AI models. It highlights setbacks related…
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Cloud Blog: How PUMA leverages built-in intelligence with BigQuery for greater customer engagement
Source URL: https://cloud.google.com/blog/products/data-analytics/puma-bigquery-customer-engagement/ Source: Cloud Blog Title: How PUMA leverages built-in intelligence with BigQuery for greater customer engagement Feedly Summary: Leveraging first-party data, and data quality in general, are major priorities for online retailers. While first-party data certainly comes with challenges, it also offers a great opportunity to increase transparency, redefine customer interactions, and create…
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Cloud Blog: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames
Source URL: https://cloud.google.com/blog/products/data-analytics/synthetic-data-generation-with-gretel-and-bigquery-dataframes/ Source: Cloud Blog Title: A practical guide to synthetic data generation with Gretel and BigQuery DataFrames Feedly Summary: In our previous post, we explored how integrating Gretel with BigQuery DataFrames streamlines synthetic data generation while preserving data privacy. To recap, BigQuery DataFrames is a Python client for BigQuery, providing pandas-compatible APIs with…