Flipboard

FEBRUARY 16, 2023

In October 2022, we launched Amazon EC2 Trn1 Instances , powered by AWS Trainium , which is the second generation machine learning accelerator designed by AWS. Trn1 instances are purpose built for high-performance deep learning model training while offering up to 50% cost-to-train savings over comparable GPU-based instances.

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Large Language Models LLM BERT Deep Learning 132

Viso.ai

MARCH 26, 2024

The introduction of the Transformer model was a significant leap forward for the concept of attention in deep learning. Learn more by booking a demo. Types of Attention Mechanisms Attention mechanisms are a vital cog in modern deep learning and computer vision models. Vaswani et al.

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Deep Learning Computer Vision Neural Network Natural Language Processing 52

Dlabs.ai

MARCH 9, 2022

Meaning you’ll have a better understanding of all the mechanisms to make you a more effective data scientist if you read even just a few of these books. Top books for data scientists 1. The key takeaway from the book is to be conscious of uncertainty because of the ever-changing environment, especially in the IT industry.

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Data Scientist Machine Learning Python Data Science 52

Marktechpost

JANUARY 11, 2025

Built on deep learning architecturesspecifically Transformersthey are trained on enormous datasets to tackle a wide variety of language-related tasks. By pre-training on text from diverse sources like books, websites, and articles, LLMs gain a deep understanding of grammar, syntax, semantics, and even general world knowledge.

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Large Language Models BERT Neural Network Artificial Intelligence 92

AWS Machine Learning Blog

SEPTEMBER 16, 2024

The backbone is a BERT architecture made up of 12 encoding layers. DNABERT 6 Dataset For this post, we use the gRNA data released by researchers in a paper about gRNA prediction using deep learning. Otherwise, the architecture of DNABERT is similar to that of BERT. CRISPRon is a CNN based deep learning model.

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Natural Language Processing Large Language Models BERT Neural Network 114

Marktechpost

JULY 3, 2023

From deep learning, Natural Language Processing (NLP), and Natural Language Understanding (NLU) to Computer Vision, AI is propelling everyone into a future with endless innovations. These deep learning-based models demonstrate impressive accuracy and fluency while processing and comprehending natural language.

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Large Language Models Natural Language Processing LLM BERT 98

AWS Machine Learning Blog

JULY 24, 2023

When deploying Deep Learning models at scale, it is crucial to effectively utilize the underlying hardware to maximize performance and cost benefits. In this post, we share best practices to deploy deep learning models with FastAPI on AWS Inferentia NeuronCores. xlarge 1 4 1 2 Inf1.2xlarge 1 4 2 4 Inf1.6xlarge 4 16 1.5

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BERT Deep Learning Python Machine Learning 98

Towards AI

JULY 13, 2024

Traditional methods like ARIMA struggle with modern data complexities, but deep learning has shown promise. Their decoder-only model, inspired by NLP giants like BERT, uses a patch-based approach to handle data efficiently. This is the groundbreaking work of Abhimanyu Das, Weihao Kong, Rajat Sen, and Yichen Zhou.

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Topbots

APRIL 11, 2023

We’ll start with a seminal BERT model from 2018 and finish with this year’s latest breakthroughs like LLaMA by Meta AI and GPT-4 by OpenAI. BERT by Google Summary In 2018, the Google AI team introduced a new cutting-edge model for Natural Language Processing (NLP) – BERT , or B idirectional E ncoder R epresentations from T ransformers.

NLP 98

NLP BERT Large Language Models Natural Language Processing 98

Mlearning.ai

JUNE 14, 2023

I used this foolproof method of consuming the right information and ended up publishing books , artworks , Podcasts and even an LLM powered consumer facing app ranked #40 on the app store. YouTube Transformer Models (cohere.com) Intro to BERT (early LLM example) BERT Neural Network — EXPLAINED! — YouTube

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Neural Network BERT Large Language Models Natural Language Processing 52

Heartbeat

OCTOBER 10, 2023

RoBERTa RoBERTa (Robustly Optimized BERT Approach) is a natural language processing (NLP) model based on the BERT (Bidirectional Encoder Representations from Transformers) architecture. This refers to the fact that BERT was pre-trained on one set of tasks but fine-tuned on a different set of tasks for downstream NLP applications.

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BERT NLP Machine Learning Deep Learning 52

Viso.ai

MARCH 20, 2024

Models like GPT 4, BERT, DALL-E 3, CLIP, Sora, etc., Use Cases for Foundation Models Applications in Pre-trained Language Models like GPT, BERT, Claude, etc. With Viso Suite, enterprise teams can easily integrate the full machine learning pipeline into their workflows in a matter of days.

AI Development 52

AI Development AI Developer Computer Vision BERT 52

Viso.ai

JULY 9, 2024

Efficient, quick, and cost-effective learning processes are crucial for scaling these models. Transfer Learning is a key technique implemented by researchers and ML scientists to enhance efficiency and reduce costs in Deep learning and Natural Language Processing. Book a demo to learn more.

Neural Network 52

Neural Network BERT Deep Learning Computer Vision 52

AWS Machine Learning Blog

APRIL 17, 2023

However, as the size and complexity of the deep learning models that power generative AI continue to grow, deployment can be a challenging task. Then, we highlight how Amazon SageMaker large model inference deep learning containers (LMI DLCs) can help with optimization and deployment.

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Prompt Engineering Prompt Engineer Deep Learning Machine Learning 103

Viso.ai

APRIL 26, 2024

Learn how Viso Suite can optimize your applications by booking a demo with our team. Typically, transformer-based architectures like BERT (Bidirectional Encoder Representations from Transformers) and GPT (Generative Pre-trained Transformer) serve as the foundations for these systems.

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Convolutional Neural Networks Computer Vision Neural Network Natural Language Processing 52

ODSC - Open Data Science

FEBRUARY 14, 2023

Trained with 570 GB of data from books and all the written text on the internet, ChatGPT is an impressive example of the training that goes into the creation of conversational AI. Seek AI uses complex deep-learning foundation models with hundreds of billions of parameters. million in a combination of pre-seed and seed funding.

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ChatGPT Large Language Models OpenAI Conversational AI 124

Mlearning.ai

JUNE 8, 2023

A few embeddings for different data type For text data, models such as Word2Vec , GLoVE , and BERT transform words, sentences, or paragraphs into vector embeddings. However, it was not designed for transfer learning and needs to be trained for specific tasks using a separate model. What are Vector Embeddings?

Machine Learning 52

Machine Learning BERT Neural Network OpenAI 52

Marek Rei

NOVEMBER 4, 2024

They show state-of-the-art results on long-context language modelling, finding a hidden passcode from a 1M token length context, and summarizing 500K length books. BooookScore: A systematic exploration of book-length summarization in the era of LLMs Yapei Chang, Kyle Lo, Tanya Goyal, Mohit Iyyer. UMass Amherst, AllenAI, Princeton.

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Machine Learning NLP Large Language Models LLM 80

Lexalytics

APRIL 5, 2021

Apparently, Rosenblatt overhyped his work, or at the very least annoyed Marvin Minsky and Seymour Papert, who wrote a book that emphasized negative results about perceptrons [ 5 ]. They were not wrong: the results they found about the limitations of perceptrons still apply even to the more sophisticated deep-learning networks of today.

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Neural Network Convolutional Neural Networks Natural Language Processing BERT 52

Heartbeat

AUGUST 2, 2023

Introduction to LLMs LLM in the sphere of AI Large language models (often abbreviated as LLMs) refer to a type of artificial intelligence (AI) model typically based on deep learning architectures known as transformers. Large language models, such as GPT-3 (Generative Pre-trained Transformer 3), BERT, XLNet, and Transformer-XL, etc.,

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Large Language Models Prompt Engineering Prompt Engineer ChatGPT 52

Viso.ai

JUNE 12, 2024

Our software helps several leading organizations start with computer vision and implement deep learning models efficiently with minimal overhead for various downstream tasks. GPT models are based on transformer-based deep learning neural network architecture. About us : Viso.ai Get a demo here. trillion words.

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Large Language Models ChatGPT Neural Network Computer Vision 52

Bugra Akyildiz

FEBRUARY 9, 2025

I am covering a single article today technically with RLHF and there is a book afterwards that talks about the RLHF. Abstract: Reinforcement learning from human feedback (RLHF) has become an important technical and storytelling tool to deploy the latest machine learning systems. It has also code that accompanies the book here.

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LLM Deep Learning Algorithm Prompt Engineering 52

Viso.ai

MARCH 26, 2024

With advancements in machine learning (ML) and deep learning (DL), AI has begun to significantly influence financial operations. To learn more about Viso Suite, book a demo with our team. Institutions widely use machine learning models like Random Forest, neural networks, and anomaly detection algorithms.

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Computer Vision Neural Network Machine Learning Convolutional Neural Networks 52

Snorkel AI

AUGUST 8, 2023

Deep learning to learn complex patterns from data that are difficult to identify using traditional methods. Then, they can distill that model’s expertise into a deployable form by having it “teach” a smaller model like BERT. Book a demo today. See what Snorkel option is right for you.

Data Scientist 52

Data Scientist NLP Natural Language Processing AI 52

Heartbeat

OCTOBER 5, 2023

Unsurprisingly, Machine Learning (ML) has seen remarkable progress, revolutionizing industries and how we interact with technology. The emergence of Large Language Models (LLMs) like OpenAI's GPT , Meta's Llama , and Google's BERT has ushered in a new era in this field. We pay our contributors, and we don't sell ads.

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Large Language Models DevOps Machine Learning Prompt Engineering 52

Viso.ai

JANUARY 2, 2024

Our software helps industry leaders efficiently implement real-world deep learning AI applications with minimal overhead for all downstream tasks. Therefore, they are fed billions of words from books, articles, websites, social media (X, Facebook, Reddit), and more. BERT, LaMDA, Claude 2, etc. Get a demo. What is Llama 2?

Deep Learning 52

Deep Learning Large Language Models Computer Vision Neural Network 52

Viso.ai

APRIL 4, 2024

A deep learning model using TensorFlow or facial recognition might experience data drift due to poor lighting or demographic changes. Find out how Viso Suite can automate your team’s projects by booking a demo. On the other hand, transfer learning may help by adapting the model trained to do one task to do a related task.

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Data Drift Computer Vision Machine Learning Algorithm 52

Applied Data Science

DECEMBER 23, 2022

You can also provide negative prompts (which is what you don’t want to see in the image) book a demo with Google’s Imagen access the Discord server of Midjourney to give text prompts to their bot Language generation Machines that can understand and communicate in our own language have always been hard to construct. What happened?

Neural Network 52

Neural Network Data Science AI AI 52

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). Book a demo today. See what Snorkel option is right for you.

Data Scientist 52

Data Scientist LLM Chatbots AI 52

Snorkel AI

MARCH 19, 2024

Google’s thought leadership in AI is exemplified by its groundbreaking advancements in native multimodal support (Gemini), natural language processing (BERT, PaLM), computer vision (ImageNet), and deep learning (TensorFlow). See what Snorkel can do to accelerate your data science and machine learning teams.

Data Scientist 52

Data Scientist AI AI Chatbots 52

Viso.ai

MARCH 19, 2024

About Us: We’re the creators of Viso Suite: the end-to-end machine learning infrastructure for enterprises. To learn more, book a demo with the viso.ai Powered by DistilBERT, Grounding DINO is a distilled version of the BERT model optimized for speed and efficiency.

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Explainability Computer Vision Machine Learning ChatGPT 52

Sebastian Ruder

NOVEMBER 14, 2022

Research models such as BERT and T5 have become much more accessible while the latest generation of language and multi-modal models are demonstrating increasingly powerful capabilities. This post is partially based on a keynote I gave at the Deep Learning Indaba 2022. The Deep Learning Indaba 2022 in Tunesia.

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Natural Language Processing NLP Computational Linguistics BERT 52

Sebastian Ruder

JANUARY 24, 2022

6] such as W2v-BERT [7] as well as more powerful multilingual models such as XLS-R [8]. For each input chunk, nearest neighbor chunks are retrieved using approximate nearest neighbor search based on BERT embedding similarity. A framework for self-supervised learning of speech representations. Why is it important?  

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NLP ML BERT Computational Linguistics 52

Topbots

JUNE 15, 2023

Are All Languages Created Equal in Multilingual BERT? In Proceedings of the 5th Workshop on Representation Learning for NLP , pages 120–130, Online. New York: Riverhead Books, 2022 (p. In Findings of the Association for Computational Linguistics: ACL 2022 , pages 2340–2354, Dublin, Ireland. Shijie Wu and Mark Dredze.

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Natural Language Processing Computational Linguistics NLP ChatGPT 59

Snorkel AI

OCTOBER 17, 2023

Then, we had a lot of machine-learning and deep-learning engineers. The work involved in training something like a BERT model and a large language model is very similar. It feels like the old way of doing things—writing a research paper or book and somehow feeding that as training or as context—is very slow.

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Large Language Models NLP Prompt Engineering Prompt Engineer 64

Topbots

JULY 6, 2023

Like other large language models, including BERT and GPT-3, LaMDA is trained on terabytes of text data to learn how words relate to one another and then predict what words are likely to come next. How is the problem approached? The model achieved a training efficiency of 57.8% What are the results?

LLM 52

LLM Large Language Models Natural Language Processing NLP 52

Snorkel AI

OCTOBER 17, 2023

Then, we had a lot of machine-learning and deep-learning engineers. The work involved in training something like a BERT model and a large language model is very similar. It feels like the old way of doing things—writing a research paper or book and somehow feeding that as training or as context—is very slow.

Large Language Models 59

Large Language Models NLP Prompt Engineering Prompt Engineer 59