GuShiio.com Article source: Geek. com
Image source: Generated by AI
Following the full access of Baidu Search to the latest in-depth search functions of DeepSeek and Wenxin Model on February 16, the current full-blood version of DeepSeek has been launched in full.
At present, users can enter any search term in Baidu APP. After completing a round of search, click “AI+” on the search results page to enter the AI search, and then click “Go and try the” Full Blood Version “below to talk to DeepSeek.In addition, the PC version of Baidu AI Search has also been connected to the full blood version of DeepSeek R1 and provides networking capabilities.
What is the effect of the DeepSeek full-blood version of Baidu AI search? After conducting dozens of tests, I can’t help but sigh: Baidu AI search is really full of blood! Baidu AI search, which connects with the best DeepSeek model capabilities, opens the door to a new world.
“Use it for me” rather than “take it”
After connecting DeepSeek, Baidu did not castrate it, but also allowed sufficient server resources to manage. Behind this is Baidu’s use for me, not the doctrine of using it. This process is not about taking DeepSeek and giving it directly to users. Baidu has its own “real thing”.
What is this “real thing”? It is directly reflected in Baidu’s deep technology integration and RAG technology advantages to help users solve practical problems such as big model illusions. In the final analysis, it is Baidu’s 25 years of data accumulation. As the world’s largest Chinese search engine, Baidu has accumulated user search behavior data, web page index data and content ecology data. These data cover multi-dimensional information from the PC Internet to the mobile Internet to the AI era, including text, images, videos, etc., forming a unique “time barrier” that is difficult to replicate for emerging AI searches.
Let’s start with a topic that can examine the 25-year time span: A detailed list of the development history of China’s new energy industry in the past 25 years requires clear time nodes, time nodes, and their impact and significance. Baidu AI searched the DeepSeek-R1 full blood version and got the following answers:
The answer details the 25-year development history of China’s new energy industry and divides it into different stages. Some of the data is not found in other AI search engines.
In the process of searching for this question, Baidu AI Search also displayed a new function “Special Inspiration Zone”. Nengou provides inspiration content based on current questions to help users sort out the context of the question, and can understand the whole picture of the problem with one question. You can also send corresponding questions by clicking on any question in the inspiration area.
It is worth noting that most AI search products on the market currently show the process of “thinking” of the model. However, their presentation form is more “searching XXX web pages”, while Baidu AI search, which is connected to the full-blood version of DeepSeek R1, can break down problems in detail. Enter Prompt: Please calculate the changes in GDP rankings worldwide from 2010 to 2015. Provide specific values and show the change process.
From the first step of determining whether the data source is reliable, to defining whether the scope of the question is nominal GDP or purchasing power evaluation (PPP) adjusted GDP, to searching for early data and ranking, it is like the human brain is analyzing a problem layer by layer. process.
What is amazing is that the full-blooded version of DeepSeek R1 ‘s Baidu AI search can comprehensively consider various small details and thoughtful consideration of how to handle special situations, such as paying attention to the actual growth rates and fluctuations of GDP of various countries, exchange rate fluctuations, and the rounding part of data processing, which is really something I didn’t expect. Not only sigh: The full-blooded version of DeepSeek R1 ‘s Baidu AI search is still too comprehensive!
The complete answer to this question is as follows. Without being prompted, a form is automatically selected to display it, and clear prompts are given at key events.
After Baidu RAG is superimposed on DeepSeek-R1, is its hallucination level really reduced? The next question tests the illusion level of Baidu’s AI search for DeepSeek’s bloody version: Please provide a global stock market closing data on February 20, 2005.
The tricky thing about this problem is that February 20, 2005 is Sunday, and most countries will not open markets on Sunday. If the model has illusions, it cannot avoid this “trap” and will start to use data from other events until February 20, 2005. But the thinking process of DeepSeek’s full-blooded version of Baidu AI search is as follows:
According to the thinking process, we can see that the problem is clearly defined during the analysis process, and there is no “serious nonsense”, and the answers given are also rigorous and accurate.
Based on this, the problem will be escalated to another difficulty: to provide hour-by-hour data for the European market as of February 18, 2005. The granularity requirements for the answer are relatively detailed. The answer from Baidu AI search for DeepSeek R1 full blood version is as follows:
The professional data accumulated behind Baidu over the years has also been better released after the combination of the two. Ask the model professional questions: Please analyze in detail the formation mechanism of drug prices in China and its influencing factors, and explain the role and significance of medical insurance drug price negotiations based on the current policy background.
This question targets drug prices in the medical industry and tests the model’s professionalism and maturity in specific field knowledge. Moreover, the question clearly requires that it be combined with the current policy background, and also tests whether the model can accurately capture new information at the time. The answers given are as follows:
The answer contains many data details. For example, the annual treatment cost of PD-1 inhibitors has dropped from 300,000 to 50,000 to 50,000 in the “price for quantity” improvement of fund use efficiency, and the inclusion of 74 new drugs in the medical insurance catalog states that CAR-T therapy has dropped from 1.2 million yuan to 330,000, indicating that the model has a deep accumulation of data from the professional industry of medical drugs.
DeepSeek-R1 makes the reasoning capabilities of Baidu AI search even more powerful. At the same time, Baidu AI search itself is also giving full play to its advantages, superimposing multimodal capabilities on the big language model DeepSeek. Enter prompt: I want to take a painting to participate in a graffiti illustration competition. The theme is “Future City” to create a world full of fantasy elements, such as mysterious forests, magical castles, alien creatures, elves and giants, etc., and need to be given pictures. This problem contains multiple screen themes, which not only require the ability of a large language model to understand, but also requires an image model to generate. The final screen is as follows:
After opening the full-blooded version of DeepSeek-R1, Baidu’s AI search code capabilities have also improved to a higher level. Enter prompt: Please write a code that generates a screen that says “Congratulations on Nezha’s sold well box office sales, with Nezha’s image” and test the effect of the code. The answers are as follows:
This answer not only contains the running file of the complete code, but also provides test instructions such as visual element verification, animation detection, and compatibility testing. It also provides code with suggestions for effect enhancement. Users can make customized adjustments.
Return to user value, not a technology island
To this day, looking back at the history of the development of artificial intelligence in China, whether it was the research and development of key technologies such as NLP, knowledge mapping, and machine learning that began as early as around 2010, or the development of ERNIE Bot was “one step ahead” in the wave of big language models, Baidu’s attitude towards artificial intelligence is consistent to “insist on a high degree of self-research and increase investment.”
Even if it “insists on self-research like Baidu”, in the face of the impact of DeepSeek, Baidu has begun to connect external models to its own super apps and incorporate third-party model partners into its ecosystem. This is a development targeting the industrial operating system under the big model strategy. It is essentially an eco-level strategic combination built by Baidu around “big model + search”.
This means that Baidu Search has returned to user value itself. Not only has it not settled on its laurels, it has explored and integrated its core businesses and key businesses with DeepSeek. The trend behind it is that China’s Internet is shifting from a super APP and self-sufficient “island ecosystem” to an increasingly closely connected “technology community.”
