Language Models definition

Language Models are understood by both parties as all or any substantial part of the output of a modelling approach (that uses any type of supervised or unsupervised learning) and that would allow to use the models directly for research or development activities instead of using the data (or part of the data) itself.
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Examples of Language Models in a sentence

  • Em- beddings from Language Models (ELMo) [21] extracts hidden states within bi-directional LSTMs and Bidirectional Encoder Representations (▇▇▇▇) [5] uses deep-layered transformers to generate contextualized word embeddings.

  • The most promising approach to deal with these issues has been suggested by ▇▇▇ ▇▇▇▇¸s and his collaborators ([13], [14]), who have advocated the methodology of Tiered Tagging with Combined Language Models (TT-CLAM).

  • The parties shall comply with Principles of Responsible AI released by the NITI Aayog in February 2021, Government Advisory on AI and Large Language Models issued Ministry of Electronics and Information Security in March 2024 and any rules, guidelines or policy framed thereafter.

  • The service supports deploying secure, scalable, high-performing Large Language Models (LLMs) for generative AI applications, leveraging high-performance GPU infrastructure.

  • The Contractor shall demonstrate expert-level engineering knowledge and skills to rapidly prototype and perform services using the most appropriate modern technologies such as the latest Artificial Intelligence/Machine Learning (AI/ML) services, algorithms, Generative AI (GenAI) and Large Language Models (LLM)., etc.

  • Keywords: Multi-party computation, Semantic agreement, Fully homomorphic encryption, Word em- beddings, Cosine similarity, Large Language Models.

  • Chain-of-Dictionary Prompting Elicits Translation in Large Language Models.

  • These AI Features enable you to explore and interact with a system powered by third-party Large Language Models (“LLMs”) and developers, including but not limited to OpenAI.

  • The Digital Markets Act (DMA), which was not designed with Basic Models (FM) in mind, including Wide Language Models (LLM), needs to be discussed again within the framework of these technologies due to their significant market impacts.

  • Large Language Models Large language mod- els (LLMs) such as ChatGPT have shown good translation abilities (▇▇ et al., 2023), while they still lag behind supervised systems (▇▇▇▇ et al., 2023; ▇▇▇ et al., 2023).