The most advanced Meta Llama models to date, Llama 3.1, are now available in Amazon Bedrock. Amazon Bedrock offers a turnkey way to build generative AI applications with Llama. Llama 3.1 models are a collection of 8B, 70B, and 405B… Article Source https://aws.amazon.com/about-aws/whats-new/2024/07/meta-llama-3-1-generative-ai-models-amazon-bedrock
Microsoft revealed a series of new AI tools on Thursday aimed at transforming healthcare organizations’ capabilities in… Article Source https://www.maginative.com/article/microsoft-adds-3-new-multimodal-medical-imaging-ai-models-to-azure/
As enterprises modernize their mission-critical applications to adopt cloud-native architectures and containerized microservices, a major challenge is converting legacy monolithic codebases to modern languages and frameworks. Manual code… Article Source https://aws.amazon.com/blogs/ibm-redhat/accelerating-code-conversion-with-amazon-sagemaker-and-ibm-granite-code-models/
New HPE ProLiant Compute XD685 supports eight AMD Instinct™ MI325X accelerators and two AMD EPYCTM CPUs to deliver optimum performance and flexibility to efficiently build and train large language models Hewlett Packard Enterprise… Article Source https://insideainews.com/2024/10/11/hpe-launches-new-purpose-built-solutions-powered-by-amd-to-accelerate-training-for-large-complex-ai-models/
Memory capacity is a persistent issue with large language models. They can struggle with long input sequences, thanks to the high cost of memory required by these models. Their training data can also become quickly obsolete as the world turns and… Article Source https://research.ibm.com/blog/memory-augmented-LLMs
All of the new Llama 3.1 models demonstrate significant improvements over previous versions, thanks to vastly increased training data and scale. The models support a 128K context length, an increase of 120K tokens from Llama 3. This means 16… Article Source https://www.aboutamazon.com/news/aws/meta-llama-3-2-models-aws-generative-ai
Today, we are excited to announce the availability of Llama 3.2 models in Amazon SageMaker JumpStart. Llama 3.2 offers multi-modal vision and lightweight models representing Meta’s latest advancement in large language models (LLMs),… Article Source https://aws.amazon.com/blogs/machine-learning/llama-3-2-models-from-meta-are-now-available-in-amazon-sagemaker-jumpstart/
We’re excited to announce several updates to help developers quickly create AI solutions with greater choice and flexibility leveraging the Azure AI toolchain. As developers continue to develop and deploy AI applications at scale… Article Source https://azure.microsoft.com/en-us/blog/boost-your-ai-with-azures-new-phi-model-streamlined-rag-and-custom-generative-ai-models/
To truly harness the power of generative AI, customization is key. In this blog, we share the latest Microsoft Azure AI updates. AI has revolutionized the way we approach problem-solving and creativity in various industries. From… Article Source https://azure.microsoft.com/en-us/blog/announcing-fine-tuning-for-customization-and-support-for-new-models-in-azure-ai/
New HPE ProLiant Compute XD685 supports eight AMD Instinct™ MI325X accelerators and two AMD EPYC™ CPUs to deliver optimum performance and flexibility to efficiently build and train large language models Purpose-built solutions offer… Article Source https://aithority.com/technology/hpe-launches-new-purpose-built-solutions-powered-by-amd-to-accelerate-training-for-large-complex-ai-models/