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Bookmark or Share- What Are Large Language Models (LLMs)? | IBMLarge language models (LLMs) are a category of foundation models trained on immense amounts of data making them capable of understanding and generating natural language and other types of content to perform a wide range of tasks.
- A Comprehensive Overview of Large Language Models - arXiv.orgA set of large language models, ranging from 300M to 41B parameters, designed for competition-level code generation tasks. It uses the multi-query attention to reduce memory and cache costs. Since competitive programming problems highly require deep reasoning and an understanding of complex natural language algorithms, the AlphaCode models are ...
- How Large Language Models Will Transform Science, Society, and AIHow Large Language Models Will Transform Science, Society, and AI. Scholars in computer science, linguistics, and philosophy explore the pains and promises of GPT-3. Feb 5, 2021. |. Alex Tamkin and Deep Ganguli. Shana Lynch. GPT-3 can translate language, write essays, generate computer code, and more — all with limited to no supervision.
- [2307.06435] A Comprehensive Overview of Large Language Models - arXiv.orgLarge Language Models (LLMs) have recently demonstrated remarkable capabilities in natural language processing tasks and beyond. This success of LLMs has led to a large influx of research contributions in this direction.
- Introduction to Large Language Models | Machine Learning | Google for ...Define language models and large language models (LLMs). Define key LLM concepts, including Transformers and self-attention. Describe the costs and benefits of LLMs, along with common use cases....
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