Thinking Outside the (Black) Box: Building More Transparent and Explainable AI Systems in AIP (Engineering Responsible AI , #2) Advanced LLMs display incredible capabilities for processing and generating natural language. As discussed in the first blog post in this series, this can be a double-edged sword: LLMs are prone to “hallucinating” nonsensical or fictitious outputs that nonetheless seem …
As the scale and complexity of data handled by organizations increase, traditional rules-based approaches to analyzing the data alone are no longer viable. Instead, organizations are increasingly looking to take advantage of transformative technologies like machine learning (ML) and artificial intelligence (AI) to deliver innovative products, improve outcomes, and gain operational efficiencies at scale. Furthermore, …
Read more “Harness the power of AI and ML using Splunk and Amazon SageMaker Canvas”
Unpatched software vulnerabilities can have serious consequences. At Google Cloud, we want developers to reduce the risks they face by focusing on developing code that is secure by design and secure by default. While secure development can be time-consuming, generative AI can be used responsibly to help make that development process faster. At Google, we’ve …
Read more “Experimenting with Gemini 1.5 Pro and vulnerability detection”
Apple is sponsoring the annual meeting of the Association for Computational Linguistics (ACL), which takes place in person from August 11 to 16, in Bangkok, Thailand. ACL is a conference in the field of computational linguistics, covering a broad spectrum of diverse research areas that are concerned with computational approaches to natural language. Below is …
This post is co-written by Kevin Plexico and Shakun Vohra from Deltek. Question and answering (Q&A) using documents is a commonly used application in various use cases like customer support chatbots, legal research assistants, and healthcare advisors. Retrieval Augmented Generation (RAG) has emerged as a leading method for using the power of large language models …
This paper was accepted at the 5th Workshop on Gender Bias in Natural Language Processing 2024. Machine translation (MT) systems often translate terms with ambiguous gender (e.g., English term “the nurse”) into the gendered form that is most prevalent in the systems’ training data (e.g., “enfermera”, the Spanish term for a female nurse). This often …
Read more “Generating Gender Alternatives in Machine Translation”
This post is co-authored with Travis Mehlinger and Karthik Raghunathan from Cisco. Webex by Cisco is a leading provider of cloud-based collaboration solutions which includes video meetings, calling, messaging, events, polling, asynchronous video and customer experience solutions like contact center and purpose-built collaboration devices. Webex’s focus on delivering inclusive collaboration experiences fuels our innovation, which …
AI chatbots and virtual assistants have become increasingly popular in recent years thanks the breakthroughs of large language models (LLMs). Trained on a large volume of datasets, these models incorporate memory components in their architectural design, allowing them to understand and comprehend textual context. Most common use cases for chatbot assistants focus on a few …
Large language models are trained on massive scrapes of the web, which are often unstructured, noisy, and poorly phrased. Current scaling laws show that learning from such data requires an abundance of both compute and data, which grows with the size of the model being trained. This is infeasible both because of the large compute …
Read more “Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling”
With last month’s blog, I started a series of posts that highlight the key factors that are driving customers to choose Amazon Bedrock. I explored how Bedrock enables customers to build a secure, compliant foundation for generative AI applications. Now I’d like to turn to a slightly more technical, but equally important differentiator for Bedrock—the …
Read more “Build custom generative AI applications powered by Amazon Bedrock”