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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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The Full Story of Large Language Models and RLHF

AssemblyAI

Thanks to the widespread adoption of ChatGPT, millions of people are now using Conversational AI tools in their daily lives. We are going to explore these and other essential questions from the ground up , without assuming prior technical knowledge in AI and machine learning. months on average.

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This AI Research Explains the Synthetic Personality Traits in Large Language Models (LLMs)

Marktechpost

Don’t forget to join our 25k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.

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Do Large Language Models Really Need All Those Layers? This AI Research Unmasks Model Efficiency: The Quest for Essential Components in Large Language Models

Marktechpost

The advent of large language models (LLMs) has sparked significant interest among the public, particularly with the emergence of ChatGPT. These models, which are trained on extensive amounts of data, can learn in context, even with minimal examples.

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Revolutionizing Healthcare: Exploring the Impact and Future of Large Language Models in Medicine

Unite.AI

The integration and application of large language models (LLMs) in medicine and healthcare has been a topic of significant interest and development. This underscores Med-PaLM’s potential as a supportive tool in clinical settings.

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Salesforce AI Research Introduces CodeTF: A One-Stop Transformer Library For Code Large Language Models (CodeLLM)

Marktechpost

Deep learning models have recently demonstrated promising results in more difficult code intelligence tasks, such as code generation, code completion, code summarization, and code retrieval. These models are particularly Transformer-based large language models (LLMs) pretrained on large-scale code data (“Code LLMs”).

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This AI Research Dives Into The Limitations and Capabilities of Transformer Large Language Models (LLMs), Empirically and Theoretically, on Compositional Tasks

Marktechpost

GPT 4, the latest version of language models released by OpenAI, is multimodal in nature, i.e., it takes in input in the form of text and images, unlike the previous versions. Don’t forget to join our 22k+ ML SubReddit , Discord Channel , and Email Newsletter , where we share the latest AI research news, cool AI projects, and more.