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All You Need to Know About Gemma, the Open-Source LLM Powerhouse

Analytics Vidhya

Google has been a frontrunner in AI research, contributing significantly to the open-source community with transformative technologies like TensorFlow, BERT, T5, JAX, AlphaFold, and AlphaCode. What is Gemma LLM?

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LLMOps: The Next Frontier for Machine Learning Operations

Unite.AI

LLMs are deep neural networks that can generate natural language texts for various purposes, such as answering questions, summarizing documents, or writing code. LLMs, such as GPT-4 , BERT , and T5 , are very powerful and versatile in Natural Language Processing (NLP). However, LLMs are also very different from other models.

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NeoBERT: Modernizing Encoder Models for Enhanced Language Understanding

Marktechpost

Encoder models like BERT and RoBERTa have long been cornerstones of natural language processing (NLP), powering tasks such as text classification, retrieval, and toxicity detection. While newer models like GTE and CDE improved fine-tuning strategies for tasks like retrieval, they rely on outdated backbone architectures inherited from BERT.

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Alibaba AI Researchers Released a New gte-Qwen2-7B-Instruct Embedding Model Based on the Qwen2-7B Model with Better Performance

Marktechpost

Pre-trained language models, like BERT and GPT, have shown great success in various NLP tasks. The gte-Qwen2-7B-instruct model is trained based on the Qwen2-7B LLM model, which is present in the Qwen2 series models released by the Qwen team recently. This new model uses the same training data and strategies as the earlier gte-Qwen1.5-7B-instruct

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WaveletGPT: Leveraging Wavelet Theory for Speedier LLM Training Across Modalities

Marktechpost

As LLMs continue to grow in scale, reaching hundreds of billions to even trillions of parameters, concerns arise about the accessibility of AI research, with some fearing it may become confined to industry researchers.

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The Full Story of Large Language Models and RLHF

AssemblyAI

Effective methods allowing for better control, or steerability , of large-scale AI systems are currently in extremely high demand in the world of AI research. The quintessential examples for this distinction are: The BERT model, which stands for Bidirectional Encoder Representations from Transformers. Et voilà !

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Meet LLM-Blender: A Novel Ensembling Framework to Attain Consistently Superior Performance by Leveraging the Diverse Strengths of Multiple Open-Source Large Language Models (LLMs)

Marktechpost

From producing unique and creative content and questioning answers to translating languages and summarizing textual paragraphs, LLMs have been successful in imitating humans. Some well-known LLMs like GPT, BERT, and PaLM have been in the headlines for accurately following instructions and accessing vast amounts of high-quality data.