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Generative AI is being experimented with in teaching and learning by students, faculty, and instructors at MIT.

In the MIT Festival of Learning 2024, faculty, students, staff, and alumni explored the role of generative AI in learning and teaching. Some believe that this technology is an essential tool to prepare students for the future of work. Generative AI can be used to support learning experiences, where the student can take ownership. For…

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Innovating big language model training with Arcee and AWS Trainium

Arcee, an artificial intelligence (AI) company, has made strides in optimizing the training of Large Language Models (LLMs) using continual pre-training (CPT) and model merging strategies. Its advancements are particularly significant in niche fields like medicine, law, and finance. The process was expedited by its partnership with AWS Trainium, a cloud platform that provides affordable…

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Transforming large language model training with Arcee and AWS Trainium.

Large Language Models (LLMs) have garnered attention recently due to their potential for enhancing a range of industries. At Arcee, the focus is on improving the domain adaptation of LLMs tailored to their client's needs. Arcee has introduced novel techniques for continual pre-training (CPT) and model merging, significantly advancing LLM training efficiency. These strategies have…

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Cohere Command R and R+ are now accessible on Amazon SageMaker JumpStart.

Cohere has teamed up with Amazon Web Services (AWS) to offer its Command R and R+ models on SageMaker JumpStart, a suite of capabilities of the SageMaker end-to-end machine learning (ML) platform. Both models are designed to excel at real-world enterprise-level applications and are optimized for retrieval-augmented generation (RAG) workflows – tasks that involve conversational…

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Command R and R+ from Cohere are now accessible on Amazon SageMaker JumpStart.

Cohere, in collaboration with Amazon, has made available its foundational models of Command R and R+ on Amazon SageMaker JumpStart, a system allowing users to deploy and run inferences. These models are the latest in retrieval augmented generation (RAG), delivering enterprise-grade workloads through efficient, accurate, and scalable language models. The tool supports multiple languages, including…

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Spotify Now Allows You to Generate Personalized AI Art for Your Playlists. Here’s the Method to Follow.

Spotify recently introduced an artificial intelligence (AI) playlist art feature, making it the latest entrant in the AI art industry. The feature allows users to develop custom AI-generated artwork matching the ‘vibe’ of their playlists. The process is conducted on Spotify’s iOS mobile app, translated for all users to see on a desktop via Spotify’s…

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This machine learning paper, produced by ICMC-USP, NYU, and Capital-One, presents a new AI structure known as T-Explainer, designed to provide consistent and credible explanations of machine learning models.

Machine learning models, as they become more complex, often begin to resemble "black boxes" where the decision-making process is unclear. This lack of transparency can hinder understanding and trust in decision-making, particularly in critical fields such as healthcare and finance. Traditional methods for making these models more transparent have often suffered from inconsistencies. One such…

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Mistral.rs: A Super-Speedy LLM Inference Platform that Offers Device Compatibility, Quantization Features, and a Open-AI API Compatible HTTP Server with Python Bindings.

Artificial intelligence face challenges in ensuring efficient processing of information by language models. A frequent issue is the slow response time of these models when generating text or answering questions, particularly inconvenient for real-time applications such as chatbots or voice assistants. Existing solutions to increase speed and incorporate optimization techniques are currently lacking in universal…

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