2ND BATCH OF A16Z AI GRANTS ANNOUNCED
Open source AI grants from a16z have provided money and compute to groups working at the frontier of open-source AI. The second batch of grants went out to projects like Axolotl and Lmsys.
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Open source AI grants from a16z have provided money and compute to groups working at the frontier of open-source AI. The second batch of grants went out to projects like Axolotl and Lmsys.
Google has launched Imagen 2, an enhanced AI image model available to approved Google Cloud Vertex AI users that offers new capabilities like text rendering, logos, and multilingual translations.
Cerebras makes AI training chips. It has released a framework for training huge models on its systems. The framework is simple and it doesn't require splitting up large models across multiple GPUs and nodes.
Gemini does better than many open models in a variety of vision tasks. It also seems very competitive with GPT-V on the same tasks.
This research introduces a method for compressing large language models using reduced order modeling, significantly reducing memory and time constraints without needing high-end hardware.
FIND introduces a versatile interface for AI models, enabling them to understand images and datasets better without altering the core model.
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Building automated test coverage in-house takes years to scale. But manual QA, while more affordable, wastes time and causes bugs to sneak into production. Consider QA Wolf - they get web apps to 80% coverage in just 4 months [11]. They build and maintain your test suite in open-source Playwright and offer unlimited parallel test runs on their
Microsoft's newest model is available for research purposes on HuggingFace.
The HyperRouter method improves the efficiency of large language model training by dynamically adjusting router parameters.
This project delves into the application of the CLIP pre-training paradigm in medical imaging, discussing its adaptation, applications, and limitations. It aims to provide a comprehensive understanding of how CLIP can enhance medical image analysis.
Horizontal software, software designed to solve a user's pain regardless of the type of user that feels it, has defined the last 10 years of SaaS. Vertical SaaS, by contrast, is designed for a single or narrow user set, enabling the solution to be tailored to their needs. In this article, a Greylock partner forecasts that moving forward, users’ expectations around tailored services will govern how we build software.
The EU's AI Act, after a lengthy negotiation process and last-minute debates over facial recognition and foundational AI models, reached a provisional deal that could set a blueprint for global AI regulation. The Act, which categorizes AI systems based on risk, includes a two-tier system for general-purpose AI Systems and provisions for systems posing an "unacceptable" risk. It faces the challenge of adapting to rapidly evolving AI technologies.
Why did Google, arguably the pioneer of all things generative AI, feel the need to juice its marketing around the launch of Gemini? It boggles the mind and shows just how much is at stake here in the game of winner-takes-all in AI.
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80% of enterprise data lives in difficult-to-use formats (HTML, PDF, CSV, PNG, PPTX…). Unstructured’s software makes this data available for vector databases and LLMs. Start with open-source or
AI infrastructure company Anyscale has introduced JSON mode and function calling capabilities to its Anyscale Endpoints service, significantly enhancing the usability of open models. Developers can now ensure LLM output consistency with JSON format and tailor them to specific schema requirements, as well as empower models to use APIs while choosing the right functions and arguments to call.
OpenAI has reached an agreement with Axel Springer, a Berlin-based owner of publications including Business Insider and Politico, to train its generative AI models on the publisher’s content and add recent Axel Springer-published articles to ChatGPT.
Simplify business travel with an AI assistant.