Open Source

  • Open Source

    New Open-Source ‘Falcon’ AI Language Model Overtakes Meta and Google

    Decrypt, 09/06/23. The release of Falcon 180B, an open-source large language model (LLM), is a significant achievement for the artificial intelligence community. With 180 billion parameters trained on a vast amount of data, Falcon 180B surpasses previous open-source LLMs in terms of scale and benchmark performance. It ranks highly on the leaderboard for open access models and demonstrates impressive natural language processing capabilities. While it may not surpass commercial models, Falcon 180B showcases the power of open-source AI and the potential for further advancements with community contributions. This release represents a major leap forward in the progress of LLMs and their training techniques. READ THE ARTICLE

  • Open Source

    How Important Is Open Source to AI Adoption?

    TheNewStack, 08/23/23. Open source is important to the future of AI and LLMs as it provides a solution to concerns about ownership of AI and large language model (LLM) datasets. According to a survey, 40% of respondents believe open source is the solution to AI ownership concerns. Additionally, a study found a reluctance to rely on commercial LLMs in production, with many organizations using them only for experimentation. While there has been some stagnation in the growth of traditional AI projects, open source contributions from developers involved in AI and ML remain critical. The Python and Apache communities, particularly PyTorch and TensorFlow, receive the most contributions. Despite confusion about what makes a community vendor-dominated, open source frameworks like PyTorch and TensorFlow are widely adopted among data science and ML specialists. The use of dedicated GPUs by AI/ML developers is preferred, and as the demand for computing power increases, specialized chips are expected to be relied upon more heavily. Challenges preventing the use of LLMs in production include giving up access to proprietary data and the complexity of fine-tuning. READ THE ARTICLE

  •  Open Source

    Proprietary AI Models Are Dead. Long Live Proprietary AI Models

    The New Stack, 05/26/23. The debate on the dominance of open source generative AI models versus proprietary models continues. While open source algorithms have surpassed proprietary ones, the need for real-time data and personalization favors proprietary models. Google Bard’s success showcases the value of proprietary models incorporating real-time data. The future lies in a combination of open source algorithms and proprietary data sets, with hyperscalers playing a crucial role. DataStax aims to support both open source and proprietary models in the evolving AI landscape. READ THE ARTICLE

  • Open Source

    Stability AI open sources its AI-powered design studio

    TechCrunch, 05/18/23. Stability AI has unveiled StableStudio, an open-source version of its AI-powered design suite, DreamStudio. By releasing StableStudio to the community, Stability AI aims to foster collaborative development in generative AI and expand its reach beyond a closed-source product. While some speculate it may be a move to outsource DreamStudio’s development, Stability AI emphasizes its commitment to open-source principles and looks forward to the community’s contributions. With plans to IPO and raise additional funding, Stability AI aims to monetize its diverse range of endeavors. READ THE ARTICLE

  • Open Source

    StableStudio is Stability AI’s latest commitment to open-source AI

    The Verge, 05/17/23. Stability AI’s open-source release of DreamStudio (StableStudio) for AI image generator Stable Diffusion brings benefits: community enhancements, improved interface, and showcasing commitment to open-source development. However, competition with DreamStudio and uncertain revenue plans raise concerns. Reports highlight financial challenges and collaborations in developing crucial models like Stable Diffusion, but the company’s emphasis on community building remains evident. READ THE ARTICLE

  • Detection

    There Are 2 AI Booms Happening. We’re Caught in the Middle.

    The Daily Beast, 05/13/23. Over the past few months, Edward Tian’s life has been a whirlwind of activity. During his holiday break, the Princeton student created GPTZero, a tool designed to help educators identify student essays written with OpenAI’s ChatGPT. The tool gained immense popularity, amassing over 6 million users within a short period. This success led to a flurry of investor interest, meetings, and the establishment of a startup named after GPTZero. Now, Tian and his team have secured millions in funding for their latest product, Origin—a web extension capable of detecting AI-generated text on web pages. As he prepares to graduate from college, Tian finds himself at the center of a burgeoning industry dedicated to combating the proliferation of AI-generated content. His vision for tools like Origin is to restore trust in online information, combat fake news, and uphold the value of human creativity in a world increasingly driven by algorithms and code. READ THE ARTICLE

  • open Source

    Open-Source Auto-Gpt & BabyAGI Integrate Recursion Into AI Applications

    UNITE.AI, 04/17/23. Recent developments in AI, such as Auto-GPT and BabyAGI, have demonstrated impressive potential for autonomous agents based on large language models. These agents can perform complex tasks and integrate recursion into AI applications. BabyAGI uses NLP and Pinecone for task storage, while Auto-GPT divides tasks into sub-tasks and uses resources like the internet. The future of AI development looks promising, with the potential for significant revenue and enterprise value by 2030. READ THE ARTICLE