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Learn more about Claude and ChatGPT's updated news and information about large models. This blog focuses on tracking and parsing the current state-of-the-art Large Language Models (LLMs) trends, technology updates, and their practical applications in different domains.

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Mastering Gemini Deep Research: a guide to the extreme power and application of AI research assistants

Google's latest Gemini Deep Research is an AI research tool based on the Gemini 2.5 Pro model, with automatic network retrieval, in-depth information integration and structured report generation capabilities. Its performance is better than the competition about 40%, supports multi-format output, the price is only $19.99 / month, applicable to academic research, business analysis and technology frontier tracking and other scenarios.

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Mastering the Art of Questioning with ChatGPT: A Practical Guide from Basic to Advanced

This paper describes how to improve the interaction with AI assistants such as ChatGPT by optimizing the way of asking questions. The key is to build an efficient prompting framework by clarifying roles, specific tasks and output formats. The article also provides strategies such as multi-step questioning method and multi-perspective thinking framework, and shows the application scenarios of advanced techniques such as style mimicry, creative transformation and super prompt generator. In addition, a library of practical templates and a prompt tuning process help users flexibly adjust the prompt content according to different needs, so as to get more professional and accurate answers.

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NVIDIA Llama-Nemotron: The New King of Open Source Beyond DeepSeek-R1

NVIDIA releases open source Llama-NemotronAI models in 8B, 49B and 253B versions. The flagship LN-Ultra outperforms the 671 billion DeepSeek-R1 in multiple benchmarks with only 253 billion parameters, while enabling more efficient operation on a single xH100 node. The series' five-stage training process with innovative techniques includes inference switching, hardware-aware optimization and synthetic data training. The positive relationship between model performance parameter scale and performance marks the AI efficiency-first era, and its open source license will accelerate technology adoption.

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2025 05 07 2 0bc3y4aukaabxyan33a3ifufdr6dixdqcria.f10002.mp4 20250507 105529

Google Gemini 2.5 Pro: a multimodal evolution from video to interactive apps

Google releases Gemini version 2.5 Pro, a major realization in the field of multimodal understanding and code generation. The model outperforms competitor Cl 3.7 Sonnet in programming capabilities, and is particularly adept at transforming video content and hand-drawn sketches into fully functional networks, significantly improving development efficiency. It demonstrates revolution in areas such as web development, review optimization and educational technology, creating a new paradigm for AI-assisted development.

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Bolt.new: A Tutorial Guide to Creating Professional Websites with Simple Descriptions

Bolt.new is an AI-driven development platform where users write code by generating full websites directly from natural descriptions. It supports multi-framework generation of applications, installation of software packages, and enables dynamic code optimization and hand-drawn transformations. Users log in and enter website requirements to automate code, support multiple rounds of dialog optimization and real-time preview, and can deploy or download code. The key is to write detailed prompts that specify the type of site, style and target audience, while incorporating editors to improve accuracy. bolt.new is particularly well suited to prototyping, and can be used in conjunction with specialized tools such as Cursor for more complex projects. The platform is initially free, but will be charged in the future, making it suitable for entrepreneurs, content creators and developers.

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GPT-4o The Complete Guide to Image Generation: The Creative Journey from Novice to Master

GPT-4o, as a dazzling star in the field of AI, is equipped with multimodal image generation capability. The article analyzes in detail the techniques of generating realistic images to Q version creative style, including professional methods such as life-like scenes, simulating camera equipment, using specific styles, etc. It also provides practical templates for multiple scenarios, such as e-commerce product displays, prints, game materials, and so on. By learning cue word strategies and reference image combination techniques, users can enhance their ability to collaborate with AI to create beautiful images.

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DeepSeek Releases Prover-V2 Model: 671B Parameters Boost Math Theorem Proving

DeepSeek open-sourced the DeepSeek-Prover2 model designed for math proofs on May 1, containing 671 billion parameters and 7 billion parameter versions. The model uses a combination of recursion and reinforcement learning to perform well in several math tests, such as the MiniFF test with a pass rate of 88.9%. The ProBench dataset released at the same time contains 325 questions to evaluate the model's capabilities. Experiments have found that the Chain of Thought model significantly proves accuracy, and the mini-model even outperforms the model on specific problems. The model is already at Hugging Face, supporting a new paradigm in math research.

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2025 04 29 a09919b14a61ba9a2e8fd1f3c0981e0d 1

Qwen 3 released: 235B model outperforms R1, Grok and o1 with Apache 2.0 license

Ali Tongyi Qianqian team released a new generation of open source large model Qwen3, topped the global open source model list. The series contains models, the flagship model performance exceeds a number of top models, deployment is significantly reduced. qwen 3 in a number of benchmarks to set a new record, and the innovative introduction of "hybrid reasoning" mode the model supports 119 languages, pre-training data up to 36 token, the community response is enthusiastic, within three hours to get the k GitHub star. The model supports 119 languages, and the pre-training data reached 36 token.

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Lovable 2.0: How a Collaborative "Ambient Coding" Platform for Multiple People is Changing Software Development

European AI company Lovable launches 2.0 platform for code-free software development through natural language interaction. New support for multiplayer collaboration, intelligent chat agents, security scanning, significantly lowering the development threshold. Provides free and paid programs, suitable for startup teams to quickly build product prototypes, with 500,000 monthly users. The platform commercializes the concept of AI-generated "ambient coding" to facilitate digital transformation.

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