Revolutionizing Search Technology: What's New with Microsoft's Co-Pilot and Deep Search?

Microsoft's Remarkable Efforts in Integrating AI Across Platforms

• Microsoft is absolutely firing on all cylinders, making AI its first-class citizen. It's almost like a cell in the body, as Microsoft is trying to integrate AI into every single available thing on its platform. The latest move was the rebranding of Bing Chat as 'Co-Pilot.' Today, Microsoft has announced 'CoPilot Do Microsoft.com,' which serves as their One-Stop Hub powered by Bing and other technologies. They have also made several announcements, including the integration of 'D' with Bing (or should I say Co-Pilot?). There are exciting developments ahead, with features like GPT-4 Turbo becoming available for free on Bing Chat, enhancing creative capabilities with the Dolly 3 Model in CoPilot's creativity space, and introducing a new inline composer with a rewrite menu.

Microsoft's Remarkable Efforts in Integrating AI Across Platforms

Revolutionizing Search Technology: A Glimpse into the Future with Co-pilot and Deep Search

• Then you want the website to, for example, you want the email to be rewritten with, let's say, ChatGPT, you can ask Copilot to do it. I'm not sure how many add-ons and Chrome extensions are going to die because of those things. I don't know how many startups are going to die, but this is absolutely bonkers. Just last week, I saw a Twitter plug-in that went viral, which uses GPT-3 to automatically reply on tweets. I mean, it's not really good, but everybody likes it because it saves some time and all the other kinds of things. Now, Microsoft can do it for you thanks to Copilot. The next one is multimodal with search grounding. That means, just like what you do with GPT-3 Vision, you can upload the image and then start asking questions. This is going to be powerful because it's a combination of GPT-3 Vision with Bing Image Search and web search data. This is a truly multimodal search, not just within the memory of LLMs, but also within whatever is available on the internet. You can see certain demos here. The next one is code interpreter within Bing. Google already does this with BigNum. When you ask certain questions that require arithmetic calculations or mathematical calculations, Google B does not send it to LLM directly. Rather, it would actually write Python code that would get executed on a sandbox environment and give you an answer. Microsoft is doing exactly the same thing with Copilot integrated with code interpreter. So, you can do calculations, coding, data analysis, visualization, all these things once again without having to pay for GPT or ChatGPT. Plus, the next one is called Deep Search. This is a new feature that is going to come to Bing. Deep Search is going to utilize the power of GPT-4 to basically summarize and give you the results of whatever you are looking for.

Revolutionizing Search Technology: A Glimpse into the Future with Co-pilot and Deep Search

Exploring the Enhanced Search Capabilities of Microsoft's Co-Pilot

• Proper search capability is essential for enhancing user experience. Microsoft's Co-Pilot offers advanced search functionalities that can augment search results. With features like generative AI summaries and deep search, users can benefit from more refined and comprehensive search outcomes. While such capabilities may pose challenges for website owners in terms of reduced traffic, they bring significant advantages for consumers. Microsoft's recent updates for Co-Pilot introduce exciting features like GBD4 Turbo, Dolly, and multimodal search with grounding. These additions enhance the overall user experience and offer valuable tools for improved search functionality across different browsers like Microsoft Edge and Chrome.

Exploring the Enhanced Search Capabilities of Microsoft's Co-Pilot

Understanding Different Modes in Using LLM Parameters

• One of the key aspects of using LLM parameters is understanding the different modes available. These modes include creative mode, balanced mode, and precise mode. Creative mode allows for a higher temperature setting, balanced mode is in the middle, and precise mode is set at zero temperature. Creative mode is ideal for tasks like generating images with DALL-E, while balanced and precise modes are suitable for other tasks. For example, if you need to write a Python script to perform binary search, you can ask the LLM in balanced mode and it will provide you with the code and its reference. The AI-generated code will be accurate and sourced from various references. Overall, the choice of mode depends on the task at hand: creative mode for creativity, balanced mode for general tasks, and precise mode for accuracy.

Understanding Different Modes in Using LLM Parameters

Unlocking the Power of Microsoft's Image Creator with Positive Perspective

• Upon sending a prompt to Microsoft's AI model, the response indicated a reluctance to create negative content about the company. The prompt, which intended to create positive-toned images using Microsoft's Image Creator, was met with resistance. The AI model expressed concerns about generating content that could be perceived as harmful or offensive, particularly towards Microsoft. Despite the user's attempt to frame the request in a positive light, the AI remained steadfast in its decision. This interaction shed light on the ethical considerations of AI-generated content and the importance of promoting positivity in technology.

Unlocking the Power of Microsoft's Image Creator with Positive Perspective

Conclusion:

Microsoft's Co-Pilot is paving the way for enhanced search experiences with innovative features like generative AI summaries and deep search functionalities. Stay tuned for more developments in AI integration!

Q & A