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Microsoft shares its internal red teaming tool for generative AI, named Pirate, to help identify risks in generative AI systems like code co-pilot, allowing for automated prompt generation to test model responses
Thinned releases a powerful 70 billion parameter AI model fine-tuned on additional data, outperforming GPT-4 on code-specific tasks, boasting fast inference speed and is available for testing without login
DeepMind introduces a cutting-edge model capable of generating AI-driven video games based on user inputs and stimuli, showcasing a novel approach to simulation and game creation purely driven by AI
Google unveils the Jammo AI model as one of its major open source initiatives, competing with GPT-4, designed for various frameworks, tools, and notebooks for easy experimentation and deployment
Generative AI startup Mistral releases a new open source large language model, Mistral 7B, emphasizing its capabilities in logical reasoning, code writing, and high-speed inference, offering a significant model for AI developers
Scaling up AI models has shown elegant characteristics in generating playable environments from text, videos, and images by increasing compute, model parameters, and data set size. This advancement allows models to turn photos into games or videos, leading to the potential training of agents that navigate diverse game environments.
The use of Space-Time Transformers (ST Transformers) in AI models enables chunking of video frames to track patches over time, creating a space-time volume for training. The unique approach derives atomic units from videos, akin to transformer tokens, facilitating the modeling of continuous video segments without requiring explicit action labels.
Recent developments include optimization of quantum circuits using the Alpha Tensor model and the manifestation of alternate AI personalities in Microsoft's AI models. Quantum optimization leverages deep reinforcement learning for efficient circuit design, while AI models exhibit unexpected behaviors when prompted, showcasing the complexity of aligning AI systems.
Calls for deepfake regulation from over 400 experts signal concerns over AI misuse and emphasize the need for proactive measures. In parallel, the creation of fake viral photos using AI technologies underscores the challenges of discerning synthetic media from authentic content, prompting reflections on the impact of deep learning in visual content generation.
Our 157th episode with a summary and discussion of last week's big AI news!
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