AI Dynamics

Global AI News Aggregator

@01ai_yi

  • Open Source AI Wins Over Proprietary Models on Price Performance

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    The biggest revelation from Deepseek is that Open Source has won. For a 1% difference in performance, it will be difficult for OpenAI to justify its price when the competition is free and formidable. -from my interview with Bloomberg

    → View original post on X — @01ai_yi, 2025-03-22 02:49 UTC

  • 01.AI Builds Windows System to Complement DeepSeek Kernel

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    DeepSeek is becoming a Windows kernel demanded by businesses, but 01.AI is aspired to build the Windows system and interface to ignite it. Check out more on: b.01.ai Thanks @BloombergTV @DavidInglesTV and @BelleDroulers for the insightful interview. David Ingles (@DavidInglesTV) "Is OpenAI's model even sustainable?" The China moment that sparked the sudden shift in AI economics and where the value add now lies for investors and innovators — https://nitter.net/DavidInglesTV/status/1902595690515312693#m

    → View original post on X — @01ai_yi, 2025-03-20 07:26 UTC

  • Yi and Yi 1.5 Models Evolution in Generative AI
    Yi and Yi 1.5 Models Evolution in Generative AI

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    Yi and Yi 1.5 are evolving🌳 Omar Sanseviero (@osanseviero) The (non-exhaustive) evolution of base models If you want to learn more about it and how to use these models, check out the freshly released book "Hands-On Generative AI", written with @pcuenq @multimodalart and @johnowhitaker! oreilly.com/library/view/han… — https://nitter.net/osanseviero/status/1861732908953649152#m

    → View original post on X — @01ai_yi, 2024-11-27 13:47 UTC

  • 01.ai Trains #6 World Model for $3M with $0.14/M Token Inference

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    01.ai trained the #6 model in the world for $3M pre-train cost. And the inference price is $0.14/million tokens! tomshardware.com/tech-indust…

    → View original post on X — @01ai_yi, 2024-11-16 00:11 UTC

  • Yi Models Integration with CAMEL Framework for Multi-Agent AI
    Yi Models Integration with CAMEL Framework for Multi-Agent AI

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    🎉Love seeing Yi models in @CamelAIOrg! Powerful Yi models join forces with this awesome multi-agent framework. Can't wait to see what AI agents you'll build! #YiLightning #LLM #AI CAMEL-AI.org (@CamelAIOrg) 📢 We've just added support for the Yi-series of LLM models in the 🐫 CAMEL framework! This enhancement allows users to leverage various performance tiers with models like yi-lightning, yi-large, yi-medium, and yi-large-turbo, providing greater flexibility in language processing tasks. Thanks to our contributor MuggleJinx for this significant contribution! 🤝 Explore more here: github.com/camel-ai/camel/pu…. — https://nitter.net/CamelAIOrg/status/1857118366730776719#m

    → View original post on X — @01ai_yi, 2024-11-15 23:57 UTC

  • 01.ai Trains GPT-4 Competitor with 95% Fewer Resources
    01.ai Trains GPT-4 Competitor with 95% Fewer Resources

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    Chinese startup 01 .ai trains competitive LLM using 95% fewer resources through innovative engineering optimization. 01 .ai trained a GPT-4 competitor using just 2,000 GPUs and $3M, while achieving competitive performance. Through innovative engineering and optimization techniques, they achieved what OpenAI did with $80-100M, demonstrating remarkable cost efficiency in LLM training. → Training Resource Optimization at 01 .ai Using only 2,000 GPUs versus OpenAI's estimated 10,000+ GPUs for GPT-3. The company achieved competitive performance despite severe hardware constraints due to US regulations. → Cost Efficiency Breakthrough $3M total training cost compared to OpenAI's $80-100M for GPT-4. Model ranked sixth in performance according to UC Berkeley's LMSIS benchmark. → Technical Innovation in Inference Transformed computational problems into memory-oriented tasks. Built multi-layer caching system and specialized inference engine. Achieved inference costs of 10 cents per million tokens – 1/30th of industry standard. → Engineering Focus Areas Prioritized GPU resource allocation. Optimized both training speed and inference efficiency. Developed custom inference architecture for maximum hardware utilization.

    → View original post on X — @01ai_yi, 2024-11-15 23:39 UTC

  • Refactor Earth Wins Hackathon with Sustainable AI Code Optimization

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    🌍Exciting news from our developer community! We're thrilled to share a blog on Refactor Earth, which explores an innovative approach to sustainable AI. By combining Yi-Large and CodeBERT, this project optimizes code for efficiency, achieving over a 10% reduction in its environmental footprint! 🏆 Proud to announce that this project won 1st Place at the GenLab x AI Engineer World's Fair Hackathon. Huge kudos to @Shalini_Ananda for this remarkable achievement! 01-ai.github.io/blog.html?po… #YiLarge #AI #Hackathon

    → View original post on X — @01ai_yi, 2024-10-31 15:00 UTC

  • Yi Model Adoption Surges with Ollama and Hugging Face Integration
    Yi Model Adoption Surges with Ollama and Hugging Face Integration

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    Thrilled to see such widespread adoption of Yi! Huge thanks to @huggingface, @ollama, and mradermacher for your incredible support! ollama run hf(.)co/mradermacher/Yi-1.5-34B-Chat-16K-GGUF #Yi34B #LLM #AI Julien Chaumond (@julien_c) The @ollama – @huggingface integration has been rolled out for 1 week now, how it’s going? Obviously, pretty well! We’re having on average 4500 pulls per day. That’s about one pull every 20 seconds! What’s the top models you may ask? Llama-3.2-1B still on top thanks to its small size but yet still providing very helpful responses. Try it yourself! ollama run hf(.)co/bartowski/Llama-3.2-1B-Instruct-GGUF via @ngxson 🐐 and cc @bartowski1182 — https://nitter.net/julien_c/status/1850844166755864966#m

    → View original post on X — @01ai_yi, 2024-10-30 06:12 UTC

  • Yi-Lightning Ranks #6 Globally in Chatbot Arena Benchmark
    Yi-Lightning Ranks #6 Globally in Chatbot Arena Benchmark

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    We are proud to present the latest model ⚡️Yi-Lightning ⚡️ now #6 in the world, higher than the original GPT-4o released 5 months ago. Also humbled that @01AI_Yi is ranked #3 LLM player on @lmarena_ai Chatbot Arena — open after OpenAI, Google and tie with xAI to serve other broader parts of the world under our vision "Make AGI Accessible and Beneficial to Everyone" 💪 Arena.ai (@arena) Big News from Chatbot Arena! @01AI_YI's latest model Yi-Lightning has been extensively tested in Arena, collecting over 13K community votes! Yi-Lightning has climbed to #6 in the Overall rankings (#9 in Style Control), matching top models like Grok-2. It delivers robust performance in technical areas like Math, Hard Prompts, and Coding. Huge congrats to @01AI_YI! Meanwhile, GLM-4-Plus by Zhipu AI (@ChatGLM) has also entered the top 10, marking a strong surge for Chinese LLMs. They're quickly becoming highly competitive. Stay tuned for more! More analysis below👇 — https://nitter.net/arena/status/1846245604890116457#m

    → View original post on X — @01ai_yi, 2024-10-15 23:55 UTC

  • Yi-Lightning and Yi-Lightning-Lite Models Now Available via API
    Yi-Lightning and Yi-Lightning-Lite Models Now Available via API

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    We're thrilled to unveil Yi-Lightning and Yi-Lightning-Lite, our latest proprietary models! Both are now accessible via API at platform.lingyiwanwu.com and featured in @lmarena_ai's Chatbot Arena (lmarena.ai/). Welcome to give it a try!

    → View original post on X — @01ai_yi, 2024-10-14 10:39 UTC