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Building An Expert GPT in Physics-Informed Neural Networks, with GPTs
This text discusses a customized copilot used to streamline research and development for a type of artificial neural network known as PINN. The copilot assists in improving efficiency and productivity in the development process.
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SneakyPrompts can jailbreak Stable Diffusion and DALL-E
Researchers from Duke and Johns Hopkins Universities have developed an approach called SneakyPrompt that bypasses safety filters in generative AI models like Stable Diffusion and DALL-E to generate explicit or violent images. By replacing banned words with semantically similar ones, the researchers were able to trick the models into generating the desired images. To prevent…
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Artificial Intelligence in Analytics
The text discusses whether AI-powered Business Intelligence is a hype or a reality. More information can be found on Towards Data Science.
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How I Got a Data Analyst Job in 6 Months
Leverage ChatGPT and generative AI to achieve the same results in 2023 as described in the article on Towards Data Science.
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OpenAI Fires CEO Sam Altman and Co-Founder Greg Brockman
OpenAI has removed Sam Altman as its CEO due to communication transparency issues. Mira Murati, the former CTO, will serve as interim CEO. Greg Brockman, the president and co-founder, has also resigned. OpenAI’s success with ChatGPT and its partnership with Microsoft remain important as it navigates this transition and negotiates a new funding round.
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Greg Brockman, co-founder of OpenAI, has resigned as company president
OpenAI co-founder Greg Brockman has resigned as company president following the departure of CEO Sam Altman. In a statement, Brockman expressed pride in OpenAI’s achievements since its start eight years ago. The company has named Mira Murati as the interim replacement for Altman, and this move raises questions about OpenAI’s future direction in the AI…
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Hyperparameter Tuning: Neural Networks 101
This text discusses how to improve the learning and training process of neural networks by tuning hyperparameters. It covers computational improvements, such as parallel processing, and examines hyperparameters like the number of hidden layers, number of neurons, learning rate, batch size, and activation functions. The text also provides a Python example using PyTorch and references…
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HuggingFace Introduces TextEnvironments: An Orchestrator between a Machine Learning Model and A Set of Tools (Python Functions) that the Model can Call to Solve Specific Tasks
TRL (Training with Reward Learning) is a full-stack library that enables researchers to train transformer language models and stable diffusion models using reinforcement learning. It includes tools such as Supervised Fine-tuning (SFT), Reward Modeling (RM), and Proximal Policy Optimization (PPO). TRL is an extension of Hugging Face’s transformers collection and supports various language models. It…
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Developing a Company-Specific ChatGPT is One-Third Technology and Two-Thirds Process Improvements
This article discusses the development of a GPT-based virtual assistant for Enefit, an energy company in the Baltics. It highlights the importance of data/information governance in ensuring accurate responses from the virtual assistant. It also emphasizes the need for guidance and training to customize the behavior and style of the assistant. The article concludes that…
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Meet JARVIS-1: Open-World Multi-Task Agents with Memory-Augmented Multimodal Language Models
Researchers from Peking University, UCLA, Beijing University of Posts and Telecommunications, and Beijing Institute for General Artificial Intelligence have developed JARVIS-1, a multimodal agent for open-world tasks in Minecraft. JARVIS-1 combines pre-trained multimodal language models to interpret visual observations and human instructions, generating plans for control. It achieves nearly perfect performance in over 200 tasks…