Remove new-applied-ml-research-few-shot-text-classification
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New Applied ML Research: Few-shot Text Classification

Cloudera

Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. We’re talking about text embeddings, of course.

Research 104
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Enterprise Data Science Workflows with AMPs and Streamlit

Cloudera

Here in the virtual Fast Forward Lab at Cloudera , we do a lot of experimentation to support our applied machine learning research, and Cloudera Machine Learning product development. Only through hands-on experimentation can we discern truly useful new algorithmic capabilities from hype.

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Efficient continual pre-training LLMs for financial domains

AWS Machine Learning - AI

Although the resulting models yield amazingly good results for general tasks, such as text generation and entity recognition, there is evidence that models trained with domain-specific datasets can further improve LLM performance. News CommonCrawl SEC Filing Coverage 2016-2022 1993-2022 Size 25.8 the SEC assigned identifier).

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Language Models, Explained: How GPT and Other Models Work

Altexsoft

Dubbed GPT-3 and developed by OpenAI in San Francisco, it was the latest and strongest of its kind — a “large language model” capable of producing fluent text after having ingested billions of words from books, articles, and websites. With these advances, the concept of language modeling entered a whole new era. Pretty cool, right?

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Best practices to build generative AI applications on AWS

AWS Machine Learning - AI

When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost. Beyond hardware, data cleaning and processing, model architecture design, hyperparameter tuning, and training pipeline development demand specialized machine learning (ML) skills.

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Boosting RAG-based intelligent document assistants using entity extraction, SQL querying, and agents with Amazon Bedrock

AWS Machine Learning - AI

Such data often lacks the specialized knowledge contained in internal documents available in modern businesses, which is typically needed to get accurate answers in domains such as pharmaceutical research, financial investigation, and customer support. Text extraction Documents are typically stored in PDF format or as scanned images.

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AI Image Generation Explained: Techniques, Applications, and Limitations

Altexsoft

Interestingly, Miller has spent the last few years making a documentary about AI, during which he interviewed Sam Altman , the CEO of OpenAI — an American AI research laboratory. As a result, they become capable of generating new images that bear similarities in style and content to those found in the training data.