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Building your Generative AI apps with Meta's Llama 2 and Databricks

databricks

Today, Meta released their latest state-of-the-art large language model (LLM) Llama 2 to open source for commercial use1. This is a significant development.

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Deploy foundation models with Amazon SageMaker, iterate and monitor with TruEra

AWS Machine Learning Blog

This blog is co-written with Josh Reini, Shayak Sen and Anupam Datta from TruEra Amazon SageMaker JumpStart provides a variety of pretrained foundation models such as Llama-2 and Mistal 7B that can be quickly deployed to an endpoint. One way to surface this need is by evaluating the model against a curated ground truth dataset.

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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning Blog

We believe generative AI has the potential over time to transform virtually every customer experience we know. Innovative startups like Perplexity AI are going all in on AWS for generative AI. And at the top layer, we’ve been investing in game-changing applications in key areas like generative AI-based coding.

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Fine-tune and deploy Llama 2 models cost-effectively in Amazon SageMaker JumpStart with AWS Inferentia and AWS Trainium

AWS Machine Learning Blog

Today, we’re excited to announce the availability of Llama 2 inference and fine-tuning support on AWS Trainium and AWS Inferentia instances in Amazon SageMaker JumpStart. Llama 2 is an auto-regressive generative text language model that uses an optimized transformer architecture.

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Beyond OpenAI in Commercial LLM Landscape

John Snow Labs

This blog post explores the emerging players in the commercial large language model (LLM) landscape, namely Anthropic, Cohere, Mosaic ML, Cerebras, Aleph Alpha, AI21 Labs and John Snow Labs. We discuss their unique offerings, compliance with the EU AI Act, pricing, and performance on various tasks. billion in funding by June 2023.

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