Tag: Synthetic Data
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Hacker News: TinyTroupe, a new LLM-powered multiagent persona simulation Python library
Source URL: https://github.com/microsoft/TinyTroupe Source: Hacker News Title: TinyTroupe, a new LLM-powered multiagent persona simulation Python library Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses TinyTroupe, an experimental Python library leveraging Large Language Models (LLMs) to simulate interactions of various personas for business insights and creativity enhancement. It emphasizes its distinction from…
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Hacker News: OpenAI’s new "Orion" model reportedly shows small gains over GPT-4
Source URL: https://the-decoder.com/openais-new-orion-model-reportedly-shows-small-gains-over-gpt-4/ Source: Hacker News Title: OpenAI’s new "Orion" model reportedly shows small gains over GPT-4 Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the stagnation in the performance of large language models (LLMs), particularly OpenAI’s upcoming Orion model, which shows minimal gains compared to its predecessor, GPT-4. It highlights…
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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…
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Cloud Blog: BigQuery’s AI-assisted data preparation is now in preview
Source URL: https://cloud.google.com/blog/products/data-analytics/introducing-ai-driven-bigquery-data-preparation/ Source: Cloud Blog Title: BigQuery’s AI-assisted data preparation is now in preview Feedly Summary: In today’s data-driven world, the ability to efficiently transform raw data into actionable insights is paramount. However, data preparation and cleaning is often a significant challenge. Reducing this time and efficiently transforming raw data into insights is crucial…
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Hacker News: IBM Granite 3.0: open enterprise models
Source URL: https://www.ibm.com/new/ibm-granite-3-0-open-state-of-the-art-enterprise-models Source: Hacker News Title: IBM Granite 3.0: open enterprise models Feedly Summary: Comments AI Summary and Description: Yes Summary: IBM has launched Granite 3.0, an advanced series of large language models (LLMs) developed for enterprise applications, emphasizing safety, cost-efficiency, and performance. The open-source models and detailed training disclosures mark a significant commitment…
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Hacker News: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data
Source URL: https://arxiv.org/abs/2405.14333 Source: Hacker News Title: DeepSeek: Advancing theorem proving in LLMs through large-scale synthetic data Feedly Summary: Comments AI Summary and Description: Yes Summary: The paper introduces DeepSeek-Prover, an innovative approach that leverages large-scale synthetic data to improve the capabilities of large language models (LLMs) in formal theorem proving. It highlights the challenges…