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Llama3 is out and it is awesome!

Bugra Akyildiz

The data processing pipeline is optimized for LLM performance and ran on the 🏭 datatrove library, our large scale data processing library. Whether you are working on a predictive model that computes semantic similarity or the next generative model that is going to beat the LLM benchmarks.

LLM 52
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Build enterprise-ready generative AI solutions with Cohere foundation models in Amazon Bedrock and Weaviate vector database on AWS Marketplace

AWS Machine Learning Blog

Despite their wealth of general knowledge, state-of-the-art LLMs only have access to the information they were trained on. This can lead to factual inaccuracies (hallucinations) when the LLM is prompted to generate text based on information they didn’t see during their training.