Tag: Synthetic Data
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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…
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Hacker News: Llama 405B 506 tokens/second on an H200
Source URL: https://developer.nvidia.com/blog/boosting-llama-3-1-405b-throughput-by-another-1-5x-on-nvidia-h200-tensor-core-gpus-and-nvlink-switch/ Source: Hacker News Title: Llama 405B 506 tokens/second on an H200 Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses advancements in LLM (Large Language Model) processing techniques, specifically focusing on tensor and pipeline parallelism within NVIDIA’s architecture, enhancing performance in inference tasks. It provides insights into how these…