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16 Companies Leading the Way in AI and Data Science

ODSC - Open Data Science

Going from Data to Insights LexisNexis At HPCC Systems® from LexisNexis® Risk Solutions you’ll find “a consistent data-centric programming language, two processing platforms, and a single, complete end-to-end architecture for efficient processing.” These tools are designed to help companies derive insights from big data.

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Advanced RAG patterns on Amazon SageMaker

AWS Machine Learning Blog

LangChain is an open source Python library designed to build applications with LLMs. It provides a modular and flexible framework for combining LLMs with other components, such as knowledge bases, retrieval systems, and other AI tools, to create powerful and customizable applications. license, for use without restrictions.

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Simple guide to training Llama 2 with AWS Trainium on Amazon SageMaker

AWS Machine Learning Blog

Llama 2 is an auto-regressive language model that uses an optimized transformer architecture and is intended for commercial and research use in English. This results in faster restarts and workload completion. Prerequisites You need to complete some prerequisites before you can run the first notebook.

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Deploy DeepSeek-R1 Distilled Llama models in Amazon Bedrock

AWS Machine Learning Blog

Import the model Complete the following steps to import the model: On the Amazon Bedrock console, choose Imported models under Foundation models in the navigation pane. Importing the model will take several minutes depending on the model being imported (for example, the Distill-Llama-8B model could take 520 minutes to complete).

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Deploy DeepSeek-R1 distilled Llama models with Amazon Bedrock Custom Model Import

AWS Machine Learning Blog

Import the model Complete the following steps to import the model: On the Amazon Bedrock console, choose Imported models under Foundation models in the navigation pane. Importing the model will take several minutes depending on the model being imported (for example, the Distill-Llama-8B model could take 520 minutes to complete).

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Unearth insights from audio transcripts generated by Amazon Transcribe using Amazon Bedrock

AWS Machine Learning Blog

Generative AI is reshaping the way we analyze audio transcripts, enabling you to unlock insights such as customer sentiment, pain points, common themes, avenues for risk mitigation, and more, that were previously obfuscated. The code artifacts are in Python. time.sleep(10) The transcription job will take a few minutes to complete.