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5 Best Large Language Models (LLMs) (September 2024)

Unite.AI

The field of artificial intelligence is evolving at a breathtaking pace, with large language models (LLMs) leading the charge in natural language processing and understanding. As we navigate this, a new generation of LLMs has emerged, each pushing the boundaries of what's possible in AI.

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Open source large language models: Benefits, risks and types

IBM Journey to AI blog

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

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Knowledge Fusion of Large Language Models (LLMs)

Analytics Vidhya

Introduction In Natural Language Processing (NLP), developing Large Language Models (LLMs) has proven to be a transformative and revolutionary endeavor. These models, equipped with massive parameters and trained on extensive datasets, have demonstrated unprecedented proficiency across many NLP tasks.

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AI Learns from AI: The Emergence of Social Learning Among Large Language Models

Unite.AI

Since OpenAI unveiled ChatGPT in late 2022, the role of foundational large language models (LLMs) has become increasingly prominent in artificial intelligence (AI), particularly in natural language processing (NLP).

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Microsoft AI Research Introduces Generalized Instruction Tuning (called GLAN): A General and Scalable Artificial Intelligence Method for Instruction Tuning of Large Language Models (LLMs)

Marktechpost

Large Language Models (LLMs) have significantly evolved in recent times, especially in the areas of text understanding and generation. Don’t Forget to join our Telegram Channel You may also like our FREE AI Courses….

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Can Large Language Models Really Do Math? This Artificial Intelligence AI Research Introduce MathGLM: A Robust Model To Solve Mathematical Problems Without a Calculator

Marktechpost

When it comes to downstream natural language processing (NLP) tasks, large language models (LLMs) have proven to be exceptionally effective. To generate coherent and contextually relevant responses, pioneering models like GPT4 and ChatGPT have been trained on vast volumes of text data.

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NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts

Marktechpost

Don’t Forget to join our 50k+ ML SubReddit [Upcoming Event- Oct 17 202] RetrieveX – The GenAI Data Retrieval Conference (Promoted) The post NVIDIA AI Researchers Explore Upcycling Large Language Models into Sparse Mixture-of-Experts appeared first on MarkTechPost.