AssemblyAI

MAY 3, 2023

This process of adapting pre-trained models to new tasks or domains is an example of Transfer Learning , a fundamental concept in modern deep learning. Transfer learning allows a model to leverage the knowledge gained from one task and apply it to another, often with minimal additional training.

Large Language Models 363

Large Language Models Neural Network LLM ChatGPT 363

Unite.AI

NOVEMBER 14, 2024

When I started the company back in 2017, we were at a turning point with deep learning. DeepL has recently launched its first in-house LLM. Can you explain the process behind training DeepL's LLM? Can you walk us through the early vision behind DeepL and how the company's goals have evolved since its founding?

Neural Network 130

Neural Network LLM Large Language Models AI Modeling 130

Unite.AI

MAY 29, 2024

With nine times the speed of the Nvidia A100, these GPUs excel in handling deep learning workloads. Unlike sequential models, LLMs optimize resource distribution, resulting in accelerated data extraction tasks. These networks excel in modeling intricate relationships and dependencies within data sequences.

Data Extraction 268

Data Extraction Neural Network Large Language Models NLP 268

Bugra Akyildiz

FEBRUARY 26, 2025

Stanford CS224n: Natural Language Processing with Deep Learning Stanford’s CS224n stands as the gold standard for NLP education, offering a rigorous exploration of neural architectures, sequence modeling, and transformer-based systems. S191: Introduction to Deep Learning MIT’s 6.S191

Deep Learning 40

Deep Learning NLP Machine Learning Robotics 40

Marktechpost

AUGUST 13, 2024

Traditional 2D neural network-based segmentation methods still need to be fully optimized for these high-dimensional imaging modalities, highlighting the need for more advanced approaches to handle the increased data complexity effectively. Users can easily designate data subsets for training or validation using a CSV file.

Deep Learning 122

Deep Learning Machine Learning Neural Network Large Language Models 122

Towards AI

DECEMBER 26, 2024

If you havent already checked it out, weve also launched an extremely in-depth course to help you land a 6-figure job as an LLM developer. But, all the rules of learning that apply to AI, machine learning, and NLP dont always apply to LLMs, especially if you are building something or looking for a high-paying job.

LLM 105

LLM Neural Network NLP Computer Vision 105

Unite.AI

DECEMBER 1, 2023

Exploring the Techniques of LIME and SHAP Interpretability in machine learning (ML) and deep learning (DL) models helps us see into opaque inner workings of these advanced models. The Scale and Complexity of LLMs The scale of these models adds to their complexity. Impact of the LLM Black Box Problem 1.

LLM 261

LLM Machine Learning Explainability Algorithm 261

AI Weekly

AUGUST 31, 2023

forbes.com A subcomponent-guided deep learning method for interpretable cancer drug response prediction SubCDR is based on multiple deep neural networks capable of extracting functional subcomponents from the drug SMILES and cell line transcriptome, and decomposing the response prediction. dailymail.co.uk

Generative AI 261

Generative AI Robotics Artificial Intelligence Artificial Intelligence 261

Marktechpost

APRIL 25, 2024

Heatmap representing the relative importance of terms in the context of LLMs Source: marktechpost.com 1. LLM (Large Language Model) Large Language Models (LLMs) are advanced AI systems trained on extensive text datasets to understand and generate human-like text.

Large Language Models 128

Large Language Models LLM Neural Network Natural Language Processing 128

Marktechpost

JANUARY 2, 2025

Inspired by the brain, neural networks are essential for recognizing images and processing language. These networks rely on activation functions, which enable them to learn complex patterns. Currently, activation functions in neural networks face significant issues.

Deep Learning 88

Deep Learning Neural Network LLM Machine Learning 88

Towards AI

FEBRUARY 3, 2025

DeepSeek AI is an advanced AI genomics platform that allows experts to solve complex problems using cutting-edge deep learning, neural networks, and natural language processing (NLP). DeepSeek AI can learn and improve over time, as opposed to being governed by static, pre-defined principles. Lets begin!

Natural Language Processing 125

Natural Language Processing OpenAI Neural Network Artificial Intelligence 125

Unite.AI

FEBRUARY 6, 2025

Yet, like a river moving through diverse terrains, LLMs can absorb impurities as they goimpurities in the form of biases and stereotypes embedded in their training data. One way to ensure that an LLM is as bias-free as possible is to integrate ethical principles using reinforcement learning from human feedback (RLHF).

Artificial Intelligence 162

Artificial Intelligence Artificial Intelligence ML Responsible AI 162

AI Weekly

MARCH 21, 2024

Mustafa Suleyman, Aidan Gomez and Yann LeCun anticipate profound societal impacts from generative AI and LLM, including productivity gains in healthcare. Among their predictions: the Turing Test may need updating to reflect AI's evolving capabilities and how the technology is going to reshape the economy in the coming decade.

Convolutional Neural Networks 261

Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 261

Marktechpost

NOVEMBER 3, 2023

In the meanwhile, an LLM training paradigm known as instruction tuning—in which data is arranged as pairs of user instruction and reference response—has evolved that enables LLMs to comply with unrestricted user commands. This paper’s primary contribution may be summed up as follows. •

Neural Network 105

Neural Network Natural Language Processing LLM Artificial Intelligence 105

Unite.AI

SEPTEMBER 13, 2024

As the demand for large language models (LLMs) continues to rise, ensuring fast, efficient, and scalable inference has become more crucial than ever. NVIDIA's TensorRT-LLM steps in to address this challenge by providing a set of powerful tools and optimizations specifically designed for LLM inference.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

Bugra Akyildiz

JANUARY 25, 2025

Articles Apple has published a blog post on ReDrafter into NVIDIA's TensorRT-LLM framework, which makes the LLM much more efficient for inference use case. tokens per step, ReDrafter significantly reduces the number of forward passes through the main LLM, leading to faster overall generation.

LLM 52

LLM Large Language Models Neural Network DevOps 52

AI Weekly

JANUARY 25, 2024

ndtv.com Top 10 AI Programming Languages You Need to Know in 2024 It excels in predictive models, neural networks, deep learning, image recognition, face detection, chatbots, document analysis, reinforcement, building machine learning algorithms, and algorithm research. decrypt.co

Robotics 264

Robotics Artificial Intelligence Artificial Intelligence Neural Network 264

Towards AI

MARCH 11, 2025

China-based startup Monica is proving precisely this point with Manus, their invite-only multi-agent product, which has rapidly captured attention despite not developing their own base LLM. Instead, Manus stitches together Claude 3.5 Indeed, clues from recent interviews suggest precisely this. But scaling what?.

Robotics 76

Robotics Deep Learning OpenAI Neural Network 76

IBM Journey to AI blog

SEPTEMBER 19, 2023

Generative AI for coding is possible because of recent breakthroughs in large language model (LLM) technologies and natural language processing (NLP). It uses deep learning algorithms and large neural networks trained on vast datasets of diverse existing source code. How does generative AI code generation work?

Auto-complete 241

Auto-complete Generative AI Neural Network Artificial Intelligence 241

Artificial Corner

JULY 30, 2023

In this world of complex terminologies, someone who wants to explain Large Language Models (LLMs) to some non-tech guy is a difficult task. So that’s why I tried in this article to explain LLM in simple or to say general language. No training examples are needed in LLM Development but it’s needed in Traditional Development.

Large Language Models 98

Large Language Models LLM Natural Language Processing Deep Learning 98

Marktechpost

JULY 19, 2024

Traditional text-to-SQL systems using deep neural networks and human engineering have succeeded. The LLMs have demonstrated the ability to execute a solid vanilla implementation thanks to the improved semantic parsing capabilities made possible by the larger training corpus. Join our Telegram Channel and LinkedIn Gr oup.

LLM 103

LLM Neural Network Large Language Models Natural Language Processing 103

Unite.AI

AUGUST 28, 2023

With advancements in deep learning, natural language processing (NLP), and AI, we are in a time period where AI agents could form a significant portion of the global workforce. Neural Networks & Deep Learning : Neural networks marked a turning point, mimicking human brain functions and evolving through experience.

Auto-complete 240

Auto-complete ChatGPT Large Language Models Neural Network 240

Towards AI

SEPTEMBER 19, 2024

Optical Character Recognition (OCR) with CNN-LSTM Attention Seq2Seq by Tan Pengshi Alvin This article explores an interesting deep learning application called Optical Character Recognition (OCR), which is the reading of text images into binary text information or computer text data. Our must-read articles 1.

LLM 111

LLM Neural Network Large Language Models Deep Learning 111

Unite.AI

JUNE 21, 2024

The Rise of CUDA-Accelerated AI Frameworks GPU-accelerated deep learning has been fueled by the development of popular AI frameworks that leverage CUDA for efficient computation. NVIDIA TensorRT , a high-performance deep learning inference optimizer and runtime, plays a vital role in accelerating LLM inference on CUDA-enabled GPUs.

Deep Learning 130

Deep Learning Neural Network Convolutional Neural Networks Large Language Models 130

Flipboard

JUNE 20, 2023

Deep learning Deep learning is a specific type of machine learning used in the most powerful AI systems. It imitates how the human brain works using artificial neural networks (explained below), allowing the AI to learn highly complex patterns in data.

Neural Network 158

Neural Network Deep Learning Machine Learning Artificial Intelligence 158

Marktechpost

APRIL 26, 2024

Graph Machine Learning (Graph ML), especially Graph Neural Networks (GNNs), has emerged to effectively model such data, utilizing deep learning’s message-passing mechanism to capture high-order relationships. Alongside topological structure, nodes often possess textual features providing context.

Large Language Models 135

Large Language Models Machine Learning Neural Network Deep Learning 135

AssemblyAI

JUNE 27, 2023

Deep Neural Networks (DNNs) have proven to be exceptionally adept at processing highly complicated modalities like these, so it is unsurprising that they have revolutionized the way we approach audio data modeling. Traditional machine learning feature-based pipeline vs. end-to-end deep learning approach ( source ).

Generative AI 298

Generative AI BERT Neural Network Deep Learning 298

Unite.AI

MAY 8, 2024

There, I learned a lot about more advanced machine learning algorithms and built my intuition. The most crucial point during this process was when I learned about neural networks and deep learning. RAG is a general concept for providing external knowledge to an LLM.

Machine Learning 292

Machine Learning Software Engineer Large Language Models Data Analysis 292

Unite.AI

OCTOBER 16, 2023

The underpinnings of LLMs like OpenAI's GPT-3 or its successor GPT-4 lie in deep learning, a subset of AI, which leverages neural networks with three or more layers. Through training, LLMs learn to predict the next word in a sequence, given the words that have come before.

Large Language Models 184

Large Language Models LLM Machine Learning Neural Network 184

Marktechpost

MAY 26, 2024

Machine translation (MT) has made impressive progress in recent years, driven by breakthroughs in deep learning and neural networks. Despite the method showing bad performance in terms of d-BLEU scores, it is preferred by human evaluators and an LLM evaluator over human-written references and GPT-4 translations.

Large Language Models 138

Large Language Models Neural Network LLM Deep Learning 138

Marktechpost

MAY 29, 2024

This article lists the top AI courses NVIDIA provides, offering comprehensive training on advanced topics like generative AI, graph neural networks, and diffusion models, equipping learners with essential skills to excel in the field. It also covers how to set up deep learning workflows for various computer vision tasks.

Neural Network 91

Neural Network Natural Language Processing Large Language Models Deep Learning 91

Marktechpost

JANUARY 7, 2025

These nodes and edges do not have a structured relationship, so addressing them using graph neural networks (GNNs) is essential. Self-supervised Learning (SSL) is an evolving methodology that leverages unlabelled data by generating its supervisory signals.

Deep Learning 82

Deep Learning Neural Network LLM Machine Learning 82

AWS Machine Learning Blog

MARCH 13, 2025

DeepSeek-R1 , developed by AI startup DeepSeek AI , is an advanced large language model (LLM) distinguished by its innovative, multi-stage training process. Instead of relying solely on traditional pre-training and fine-tuning, DeepSeek-R1 integrates reinforcement learning to achieve more refined outputs.

LLM 81

LLM Machine Learning AI AI 81

NVIDIA

DECEMBER 4, 2023

The large language model (LLM), trained and run on thousands of NVIDIA GPUs, runs generative AI services used by more than 100 million people. NVIDIA TensorRT-LLM , inference software released since that test, delivers up to an 8x boost in performance and more than a 5x reduction in energy use and total cost of ownership.

Neural Network 134

Neural Network AI AI LLM 134

Marktechpost

JUNE 27, 2023

Since the discovery of the Transformer design, the art of training massive artificial neural networks has advanced enormously, but the science underlying this accomplishment is still in its infancy. They build specific Python functions from their docstrings, using LLMs trained for coding. pass@1 accuracy on HumanEval and 55.5%

Large Language Models 122

Large Language Models Python Neural Network Data Quality 122

AssemblyAI

SEPTEMBER 29, 2023

The key insight of Imagen, therefore, was that LLMs, by virtue of their sheer size alone , generate representations powerful enough to beat smaller encoders purpose-built for text-image tasks. Given the very public progress of LLMs in the past year, we can be almost assured that DALL-E 3 makes more direct use of LLM encodings.

Deep Learning 290

Deep Learning ChatGPT OpenAI Large Language Models 290

Marktechpost

MARCH 25, 2024

This comprehensive article aims to elucidate the operational foundations, training intricacies, and the collaborative synergy between humans and machines underpin LLMs’ success and continuous improvement. LLM is an AI system designed to understand, generate, and work with human language on a large scale.

ChatGPT 131

ChatGPT Neural Network Large Language Models BERT 131