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November 15, 2023
Microsoft, looking to escape the clutches of GPU vendors, is designing chips for training -- and running -- AI models.
November 15, 2023
Most companies developing AI models, particularly generative AI models like ChatGPT, GPT-4 Turbo and Stable Diffusion, rely heavily on GPUs. Today at its 2023 Ignite conference, Microsoft unveiled two custom-designed, in-house and data center-bound AI chips: the Azure Maia 100 AI Accelerator and the Azure Cobalt 100 CPU. Maia 100 can be used to train and run AI models, while Cobalt 100 is designed to run general purpose workloads.
November 14, 2023
The new Dell-Hugging Face initiative will simplify on-premises deployment and help enterprises get the most out of LLMs and generative AI.ย
November 12, 2023
This week GitHub announced the approaching general availability of the GPT-4-powered GitHub Copilot Chat in December "as part of your existing GitHub Copilot subscription" (and "available at no cost to verified teachers, students, and maintainers of popular open source projects.") And this "code-a...
November 11, 2023
When engineers have the right mix of time, support, information and tools, theyโre capable of doing more than a team 10 times the size.
November 10, 2023
GitHub today announced plans for an enterprise subscription tier that will allow companies to fine-tune its Copilot pair-programmer based on their...
November 10, 2023
More and more, people are building products as thin wrappers over other models, especially LLMs. This can cause major issues, and there is a better way.
November 10, 2023
GitHub Advanced Security gains some AI features, and GitHub Copilot now includes a chatbot option. Github Copilot Enterprise is expected in February 2024.
November 9, 2023
Microsoft-owned GitHub announced that its GitHub Copilot Chat will become generally available in December 2023, and will offer GitHub Copilot Enterprise in February 2024 for $39 a person per month.
November 9, 2023
Microsoft spent the past year testing how generative AI can boost productivity, accelerate learning curves and drive collaboration for itself, its partners and its