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Data lakehouse

Dataconomy

Emergence of the term “data lakehouse” The term “data lakehouse” first appeared in documentation around 2017, with significant attention drawn by Databricks in 2020. Programming language support: Compatibility with programming languages like Python, Scala, and other APIs.

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Llama 4 family of models from Meta are now available in SageMaker JumpStart

AWS Machine Learning Blog

Discover Llama 4 models in SageMaker JumpStart SageMaker JumpStart provides FMs through two primary interfaces: SageMaker Studio and the Amazon SageMaker Python SDK. Alternatively, you can use the SageMaker Python SDK to programmatically access and use SageMaker JumpStart models. billion in 2017 to a projected $37.68

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Evaluating Long-Context Question & Answer Systems

Eugene Yan

in 2017 , is designed to test genuine narrative comprehension rather than surface-level pattern matching. To build L-Eval, the authors first created four new datasets: Coursera (educational content), SFiction (science fiction stories), CodeU (Python codebases), and LongFQA (financial earnings).

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SIMD-friendly algorithms for substring searching (2016)

Hacker News

SIMD-friendly algorithms for substring searching Author: Wojciech Muła Added on: 2016-11-28 Updated on: 2018-02-14 (spelling), 2017-04-29 (ARMv8 results) Introduction Popular programming languages provide methods or functions which locate a substring in a given string. All these APIs were designed for one-shot searches.

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Customize Amazon Nova models to improve tool usage

AWS Machine Learning Blog

script with an argparse arg adding two gpus GT tool: terminal LLM output tool: terminal Pred args: ['python run.py gpus 2'] Ground truth pattern: python(3?) Example 2: User question: Who had the most rushing touchdowns for the bengals in 2017 season? gpus 2 Arg matching method: regex match Arg matching score: 1.0

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I counted all of the yurts in Mongolia using machine learning

Hacker News

a day (2017 PPP) (% of population) 11.6% → 0.2% I wrote a Python script that generated tiles from a box around Ulaanbaatar and downloaded them to a folder to use as training data. Indicator Value Years Population 3,481,145 2023 Fertility rate 2.7 The formula for calculating the number of tiles at a given zoom (z) level is: $2^z * 2^z$.

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Fine-tune large language models with reinforcement learning from human or AI feedback

Flipboard

2017) provided the first evidence that RLHF could be economically scaled up to practical applications. Do not forget to restart your Python kernel after installing the preceding libraries before you import them. 2017) Deep reinforcement learning from human preferences. Christiano et al. Rafailov R. Christiano P.

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