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UC Berkeley Researchers Propose CRATE: A Novel White-Box Transformer for Efficient Data Compression and Sparsification in Deep Learning

Marktechpost

This led them to a deep network design resembling a transformer, which is a completely “white box” in the sense that its optimization target, network operators, and learned representation are all fully interpretable mathematically. All credit for this research goes to the researchers of this project.

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Introduction to Large Language Models (LLMs): An Overview of BERT, GPT, and Other Popular Models

John Snow Labs

In this section, we will provide an overview of two widely recognized LLMs, BERT and GPT, and introduce other notable models like T5, Pythia, Dolly, Bloom, Falcon, StarCoder, Orca, LLAMA, and Vicuna. BERT excels in understanding context and generating contextually relevant representations for a given text.

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Breaking Down AutoGPT: What It Is, Its Features, Limitations, Artificial General Intelligence (AGI) And Impact of Autonomous Agents on Generative AI

Marktechpost

The best example is OpenAI’s ChatGPT, the well-known chatbot that does everything from content generation and code completion to question answering, just like a human. Even OpenAI’s DALL-E and Google’s BERT have contributed to making significant advances in recent times. What is AutoGPT? What is BabyAGI?

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The Sequence Chat: Hugging Face's Leandro von Werra on StarCoder and Code Generating LLMs

TheSequence

This is also where I met Lewis Tunstall and as language models with BERT and GPT-2 started taking off we decided to start working on a textbook about transformer models and the Hugging Face ecosystem. data or auto-generated files). cell outputs) for code completion in Jupyter notebooks (see this Jupyter plugin ).

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Segment Anything Model (SAM) Deep Dive – Complete 2024 Guide

Viso.ai

The Segment Anything Model (SAM), a recent innovation by Meta’s FAIR (Fundamental AI Research) lab, represents a pivotal shift in computer vision. This leap forward is due to the influence of foundation models in NLP, such as GPT and BERT. In this free live instance , the user can interactively segment objects and instances.

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Training large language models on Amazon SageMaker: Best practices

AWS Machine Learning Blog

Large language models (LLMs) are neural network-based language models with hundreds of millions ( BERT ) to over a trillion parameters ( MiCS ), and whose size makes single-GPU training impractical. This results in faster restarts and workload completion. Cluster update is currently enabled for P and G GPU-based instance types.

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Creating An Information Edge With Conversational Access To Data

Topbots

If this in-depth educational content is useful for you, you can subscribe to our AI research mailing list to be alerted when we release new material. 3] provides a more complete survey of Text2SQL data augmentation techniques. The simplest example are different orderings of WHERE clauses. different variants of semantic parsing.