Summary: Amazon Pharmacy has developed a generative AI question and answering (Q&A) chatbot assistant to help customer care agents retrieve information in real time. The solution uses the Retrieval Augmented Generation (RAG) pattern and is HIPAA compliant. Agents provide feedback on the machine-generated answers, which is used for future model improvements. The chatbot is integrated…
Amazon Personalize has introduced a new integration with Amazon OpenSearch Service to personalize search results for each user. The Amazon Personalize Search Ranking plugin allows customers to improve engagement and conversion by utilizing deep learning capabilities. The feature is available with self-managed OpenSearch and offers flexibility and control over the search experience. AWS Partners, like…
This text provides a hands-on guide to building a language model for masked language modeling (MLM) tasks using Python and the Transformers library. It discusses the importance of large language models (LLMs) in the machine learning community and explains the concept and architecture of BERT (Bidirectional Encoder Representations from Transformers). The text also covers topics…
The article discusses the importance of cleaning data before performing exploratory data analysis or building machine learning models. It focuses on cleaning a messy car dataset using the pandas library in Python. Various operations are performed, such as string manipulation, data type handling, filtering, and replacing values. Duplicate rows are also eliminated using the drop_duplicates…
Generative models trained on the data they generate tend to deteriorate over time, forgetting the true underlying data distribution. This phenomenon, known as “model collapse,” leads to models over-representing common events and forgetting less frequent but important events. As the majority of training data comes from the internet, the risk of deterioration increases if human-generated…
Learning to be a professional data scientist requires more than just math skills. It also involves developing social norms, networks, and getting acclimated to the context of work. With the shift to remote and hybrid work, new methods are needed for transmitting this information and culture. Intentional face time, skill transmission through collaboration, and purposeful…
MotionDirector is a dual-path architecture that aims to customize motion in text-to-video generation models while maintaining appearance diversity. It uses spatial and temporal pathways to adapt to appearance and motion separately. The method outperformed base models in benchmark tests and has the potential to enhance flexibility in video generation. Improvement can be made in learning…
The text focuses on the use of GradientTape to update weights. More details can be found on Towards Data Science.
The text discusses the VGG and ResNet architectures from 2014.
This text is about effectively handling indices in data frames. For more information, please read the full article on Towards Data Science.
Mozilla’s Firefox has integrated a review checker, Fakespot, into its browser to combat the prevalence of fake online reviews. Fakespot, an AI-driven tool, assigns grades to reviews on platforms such as Amazon and Walmart, indicating their trustworthiness. The tool does not pinpoint specific fraudulent reviews but provides an overall score for the product. This innovative…
The text discusses the basics of convolutional neural networks.
SEC Chairman Gary Gensler emphasizes the importance of regulating AI in order to prevent a financial crisis. He expresses concerns about the potential for overreliance on AI tools by financial institutions, which could lead to a situation similar to the 2008 economic crisis. While the SEC is not against the use of AI, Gensler believes…
Researchers from Princeton have introduced Sheared-LLaMA models, which are smaller but stronger versions of large language models (LLMs), created through focused structured pruning. The method, which involves targeted structured pruning and dynamic batch loading, effectively reduces the size of LLMs while maintaining their performance. The Sheared-LLaMA models outperformed other LLMs of similar sizes in various…
UniSim, a universal simulator called UniSim, leverages diverse datasets to simulate realistic experiences triggered by human and agent actions. Its applications range from training embodied agents to enhancing video captioning models. UniSim aims to bridge the sim-to-real gap by training agents and machine intelligence models purely in simulation. While promising, future research should address adaptability…
Chinese search giant Baidu showcased its upgraded Ernie Bot chatbot at the Baidu World 2023 conference. Baidu CEO Robin Li claimed that Ernie Bot 4 is on par with OpenAI’s GPT-4 and demonstrated its abilities, including real-time novel writing, solving puzzles, creating posters and video commercials. While Ernie Bot focuses on Mandarin, it can respond…
Researchers propose a new dataset called Chop & Learn (ChopNLearn) to study compositional generalization in object recognition. They introduce two tasks, Compositional Image Generation and Compositional Action Recognition, to evaluate existing generative models and video recognition techniques. They highlight the limitations of current methods and hope that the dataset will inspire new compositional challenges for…
SEC Chairman, Gary Gensler, warns that Artificial Intelligence (AI) could potentially cause a financial crash in the late 2020s or early 2030s due to concerns about the use of AI models by Wall Street banks. Gensler calls for rules that address AI models made by tech companies and their usage by banks, highlighting the need…
The text explores the topic of consciousness in artificial intelligence (AI) systems. It discusses the challenges of measuring consciousness in AI due to the lack of brains in these systems. It mentions attempts to create tests for AI consciousness and a white paper proposing practical ways to detect AI consciousness. The text also highlights the…
The researchers from Microsoft Research and Stanford University have introduced the Self-Taught Optimizer (STOP), a technique that uses a language model to enhance solutions and achieve self-improvement. They demonstrate how language models can function as their own meta-optimizers and analyze the effectiveness of the self-improvement tactics. The study formulates a meta-optimization strategy and showcases improvements…