One Article Review
| Source |  The State of Security |
|---|---|
| Identifiant | 8618626 |
| Date de publication | 2024-12-02 04:17:57 (vue: 2024-12-02 11:07:48) |
| Titre | Security Threats Facing LLM Applications and 5 Ways to Mitigate Them |
| Texte | What Are LLM Applications? Large Language Models (LLMs) are AI systems trained on vast textual data to understand and generate human-like text. These models, such as OpenAI\'s Chat GPT-4 and Anthropic Claude, leverage their wide-ranging language input to perform various tasks, making them versatile tools in the tech world. By processing extensive datasets, LLMs can predict subsequent word sequences in text, enabling them to craft coherent and contextually relevant responses. LLM applications have emerged in numerous fields, offering capabilities like natural language understanding, text...
What Are LLM Applications? Large Language Models (LLMs) are AI systems trained on vast textual data to understand and generate human-like text. These models, such as OpenAI\'s Chat GPT-4 and Anthropic Claude, leverage their wide-ranging language input to perform various tasks, making them versatile tools in the tech world. By processing extensive datasets, LLMs can predict subsequent word sequences in text, enabling them to craft coherent and contextually relevant responses. LLM applications have emerged in numerous fields, offering capabilities like natural language understanding, text... |
| Notes | ★★ |
| Envoyé | Oui |
| Condensat | anthropic applications are can capabilities chat claude coherent contextually craft data datasets emerged enabling extensive facing fields generate gpt have human input language large leverage like llm llms making mitigate models natural numerous offering openai perform predict processing ranging relevant responses security sequences subsequent such systems tasks tech text textual them these threats tools trained understand understanding various vast versatile ways what wide word world |
| Tags | Tool Prediction |
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