Large language models are 🤖 AI systems trained on vast amounts of data to generate human-like text and perform various NLP tasks.

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LLM

LLMs can understand, summarize, and even create coherent paragraphs as if they were written by a skilled human author.

LLM -s have revolutionized the field of natural language processing. These AI systems are trained on massive datasets to understand and generate human-like text, making them invaluable tools for a variety of applications such as chatbots, content creation, and more. The advancements in LLMs continue to push the boundaries of what AI can achieve in terms of understanding and producing natural language.

Take-aways

• 📌 LLMs are powerful AI tools trained to process and generate human-like text
• 🛠️Versatility: LLMs can handle a wide range of tasks from summarization to translation.
  • 💡 Useful in chatbots, content creation, and more.
  • 🤖 Limitations: May still struggle with complex logical reasoning and understanding context deeply.
  • 🔧 Training Data: They are trained on extensive datasets for better performance. Oftentraining is done on trillions of parameters.

Related

1. NLP
2. Large Language Models
3. Running LLMs Locally: A Guide to Setting Up OLLAMA with Docker