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What are Large Language Models (LLMs)? Applications and Types of LLMs

Marktechpost

Computer programs called large language models provide software with novel options for analyzing and creating text. It is not uncommon for large language models to be trained using petabytes or more of text data, making them tens of terabytes in size.

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Microsoft Proposes MathPrompter: A Technique that Improves Large Language Models (LLMs) Performance on Mathematical Reasoning Problems

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LLMs stands for Large Language Models. These are advanced machine learning models that are trained to comprehend massive volumes of text data and generate natural language. Examples of LLMs include GPT-3 (Generative Pre-trained Transformer 3) and BERT (Bidirectional Encoder Representations from Transformers).

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AI News Weekly - Issue #366: Top AI Podcasts in 2024 - Jan 4th 2024

AI Weekly

businessinsider.com Tech Trends 2024: AI and electric vehicle deals From computer code, to artwork, to essays, generative AI systems can quickly create a range of content which, while not perfect, has become an essential tool in some industries and professions. Facebook Email icon An envelope.

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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. With these fairly complex algorithms often being described as “giant black boxes” in news and media, a demand for clear and accessible resources is surging.

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Researchers from Harvard Introduce Inference-Time Intervention (ITI): An AI Technique that Improves the Truthfulness of Language Models from 32.5% to 65.1%

Marktechpost

The development of Large Language Models (LLMs) is one of the most innovative advancements in the field of Artificial Intelligence. From researchers and analysts to students and organizations, LLMs like ChatGPT are being used by everyone. LLMs like ChatGPT, BERT, LLaMA, PaLM, etc.,

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Multimodal Language Models: The Future of Artificial Intelligence (AI)

Marktechpost

Large language models (LLMs) are computer models capable of analyzing and generating text. Examples of text-only LLMs include GPT-3 , BERT , RoBERTa , etc. This allows the models to generate responses incorporating information from multiple modalities, leading to more accurate and contextual outputs.

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How Should We Maximize the Planning Ability of LLMs While Reducing the Computation Cost? Meet SwiftSage: A Novel Generative Agent for Complex Interactive Reasoning Tasks, Inspired by the Dual-Process Theory of Human Cognition

Marktechpost

With the introduction of Large Language Models like GPT, BERT, and LLaMA, almost every industry, including healthcare, finance, E-commerce, and media, is making use of these models for tasks like Natural Language Understanding (NLU), Natural Language Generation (NLG), question answering, programming, information retrieval and so on.