Microsoft Launches New AI Tools Ready to Enter the AI-First Era At the event Microsoft Ignite 2023
At the 2022 Ignite conference, Microsoft CEO Satya Nadella gave a keynote on AI-focused.
Highlight สำคัญ :
AI is in every Microsoft product.
Open Microsoft's vision that Copilot is an assistant that increases people's potential and abilities through applications such as Microsoft Teams, Microsoft Office 365, etc.
Microsoft Teams สำหรับยุค AI
Microsoft Teams, which has over 320 million users and over 2,000 connected apps, will roll out new features that will be available in January 2024.
The feature, called Mesh, allows users to create avatars to talk to each other in a virtual space, allowing them to collaborate more naturally.
Microsoft Copilot
Similar to how OpenAI launched GPTs, it is to create custom chatbots to help us with our tasks, but this Microsoft Copilot will focus on connecting with many existing Microsoft products.
Microsoft says it can help developers write code up to 55 times faster.
Copilot Studios
Once Copilot is launched, the program used to create it must be launched.
Microsoft named it Copilot Studios, which is responsible for creating Custom Copilot.
This is comparable to GPT Builder to create OpenAI's Custom GPT.
หรือพูดแบบสั้นๆ คือ Copilot = GPTs , Copilot Studios = GPT Builder
Its capabilities
- Design Automation
- Inserting advance logic
- Can be connected to external data sources such as CRM systems.
- Easily create plugins for Copilot. You don't have to write code.
- You can use it to create chatbots and virtual agents in a simple way (focusing on empowering conversational AI).
- It is easy to look at, it is like a low-code tool similar to Zapier, Make, but it focuses on the AI side.
Azure AI Studio
- It is an all-in-one development toolkit. Use it to build generative AI apps and develop AI solutions specifically for enterprises.
Azure AI Infrastructure และความร่วมมือกับ NVIDIA
- Announcing the addition of OpenAI's GPT-4 Turbo Large Language Model (LLM) to Azure products
- Focus on responsible AI development. Factual Information various
- The company has invested in building a new data center that uses renewable energy with high-speed networking and a new Azure Maia zipper designed specifically for AI processing (AI Accelerator for LLM training).
- Launched the first custom CPU designed by Microsoft for its own cloud service, called Azure Cobalt, using a 64-bit ARM architecture, with 120 cores.
- Announcing a partnership with NVIDIA to create a super computer dedicated to accelerating AI computing, consisting of 10,000 of the latest GPUs.
Use Cases Related to the Application of AI
- Over 700 use cases from a wide range of industries
- It also helps increase productivity for users.
Opinion of Insiderly.ai
- Microsoft's investment in OpenAI is probably the most cost-effective investment in history because it has been used in so many Microsoft products.
- It is both a strategic investment that adds value to Microsoft's own products and a long-term financial investment due to the growth of OpenAI.
- From the current situation, the number of AI users has increased so much that OpenAI's system cannot handle it. Recently, Sam Altman had to tweet to announce that he would temporarily stop recruiting ChatGPT Plus users.
- The AI world is changing very quickly, giants are always taking turns to lead, taking turns to follow. Wait and see when Google, an important competitor, will release something like this (of course).
