Remove Data Scarcity Remove Large Language Models Remove Prompt Engineering
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Full Guide on LLM Synthetic Data Generation

Unite.AI

Large Language Models (LLMs) are powerful tools not just for generating human-like text, but also for creating high-quality synthetic data. This capability is changing how we approach AI development, particularly in scenarios where real-world data is scarce, expensive, or privacy-sensitive.

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Open Artificial Knowledge (OAK) Dataset: A Large-Scale Resource for AI Research Derived from Wikipedia’s Main Categories

Marktechpost

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) has highlighted the critical need for large, diverse, and high-quality datasets to train and evaluate foundation models. The OAK dataset has two main techniques for prompt generation: programming prompt engineering and meta prompt engineering.

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Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

John Snow Labs

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). Implementation Hurdles: For these top performers, 24% see the models and tools as their primary challenge, followed by talent acquisition (20%) and scaling (19%).

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Best practices to build generative AI applications on AWS

AWS Machine Learning Blog

We provide an overview of key generative AI approaches, including prompt engineering, Retrieval Augmented Generation (RAG), and model customization. When applying these approaches, we discuss key considerations around potential hallucination, integration with enterprise data, output quality, and cost.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using “car lamp” as a prompt, we are very likely to detect cars instead of car lamps. The first concept is prompt engineering. Text: The model accepts text prompts. Source: own study.

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Achieving accurate image segmentation with limited data: strategies and techniques

deepsense.ai

Prompt engineering : the provided prompt plays a crucial role, especially when dealing with compound nouns. By using car lamp as a prompt, we are very likely to detect cars instead of car lamps. The first concept is prompt engineering. Text: The model accepts text prompts. Source: own study.

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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs

Marktechpost

Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into prompt-based reasoning used by the GPT family.

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