IBM Journey to AI blog

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The license may restrict how the LLM can be used.

Large Language Models 289

Large Language Models LLM Explainability Chatbots 289

AssemblyAI

MAY 17, 2023

Generative AI has made great strides in the language domain. More recently, the Large Language Model GPT-4 has hit the scene and made ripples for its reported performance, reaching the 90th percentile of human test takers on the Uniform BAR Exam, which is an exam in the United States that is required to become a certified lawyer.

Large Language Models 298

Large Language Models Generative AI ChatGPT AI 298

Unite.AI

OCTOBER 18, 2023

Large Language Models (LLMs) are currently one of the most discussed topics in mainstream AI. These models are AI algorithms that utilize deep learning techniques and vast amounts of training data to understand, summarize, predict, and generate a wide range of content, including text, audio, images, videos, and more.

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Large Language Models LLM Auto-complete Automation 284

AI News

JULY 24, 2023

AI News spoke with Damian Bogunowicz, a machine learning engineer at Neural Magic , to shed light on the company’s innovative approach to deep learning model optimisation and inference on CPUs. One of the key challenges in developing and deploying deep learning models lies in their size and computational requirements.

Deep Learning 246

Deep Learning Large Language Models Neural Network Big Data 246

AI News

FEBRUARY 25, 2025

has launched ASI-1 Mini, a native Web3 large language model designed to support complex agentic AI workflows. Its release sets the foundation for broader innovation within the AI sectorincluding the imminent launch of the Cortex suite, which will further enhance the use of large language models and generalised intelligence.

AI Modeling 287

AI Modeling Large Language Models Big Data AI 287

Marktechpost

NOVEMBER 19, 2024

However, traditional deep learning methods often struggle to interpret the semantic details in log data, typically in natural language. LLMs, like GPT-4 and Llama 3, have shown promise in handling such tasks due to their advanced language comprehension. The evaluation uses metrics such as Precision, Recall, and F1-score.

Large Language Models 79

Large Language Models BERT Prompt Engineer Prompt Engineering 79

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. These models are trained on vast datasets encompassing a broad spectrum of internet text.

Large Language Models 184

Large Language Models LLM Machine Learning Neural Network 184

Unite.AI

MARCH 9, 2025

Instead of relying on shrinking transistors, AI employs parallel processing, machine learning , and specialized hardware to enhance performance. Deep learning and neural networks excel when they can process vast amounts of data simultaneously, unlike traditional computers that process tasks sequentially.

Neural Network 318

Neural Network Deep Learning Algorithm AI 318

Marktechpost

FEBRUARY 8, 2025

As deep learning models continue to grow, the quantization of machine learning models becomes essential, and the need for effective compression techniques has become increasingly relevant. Low-bit quantization is a method that reduces model size while attempting to retain accuracy.

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Large Language Models Machine Learning Deep Learning Artificial Intelligence 82

AI News

MARCH 25, 2025

Combining deep learning-based large language models (LLMs) with reasoning synthesis engines, o3 marked a breakthrough where AI transitioned beyond rote memorisation. Its benchmarks are designed not just to measure progress but to inspire new ideas.

Big Data 261

Big Data Large Language Models AI AI 261

Analytics Vidhya

OCTOBER 12, 2023

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., LLMs use deep learning techniques to perform natural language processing tasks.

LLM 353

LLM Natural Language Processing Large Language Models Deep Learning 353

Unite.AI

MARCH 19, 2025

Enter generative artificial intelligence (GenAI) , which is a subset of AI technologies that uses large language models (LLMs) to learn patterns from large datasets. Our formula for successful integration of GenAI is to start with deep learning models trained specifically on large banking datasets.

Automation 247

Automation Large Language Models Deep Learning Artificial Intelligence 247

Analytics Vidhya

DECEMBER 24, 2024

The emergence of Mixture of Experts (MoE) architectures has revolutionized the landscape of large language models (LLMs) by enhancing their efficiency and scalability. This innovative approach divides a model into multiple specialized sub-networks, or “experts,” each trained to handle specific types of data or tasks.

Large Language Models 223

Large Language Models Computer Vision Deep Learning NLP 223

Unite.AI

MAY 8, 2024

Graph Neural Networks (GNNs) have emerged as a powerful deep learning framework for graph machine learning tasks. In parallel, Large Language Models (LLMs) like GPT-4, and LLaMA have taken the world by storm with their incredible natural language understanding and generation capabilities.

Neural Network 176

Neural Network Large Language Models LLM BERT 176

Analytics Vidhya

JANUARY 24, 2024

Introduction Welcome to the world of Large Language Models (LLM). In the old days, transfer learning was a concept mostly used in deep learning. This paper explored models using fine-tuning and transfer learning.

Automation 336

Automation Natural Language Processing Large Language Models Deep Learning 336

Unite.AI

NOVEMBER 5, 2024

The need for specialized AI accelerators has increased as AI applications like machine learning, deep learning , and neural networks evolve. Huawei vs. NVIDIA: The Battle for AI Supremacy NVIDIA has long been the leader in AI computing, with its GPUs serving as the standard for machine learning and deep learning tasks.

Deep Learning 189

Deep Learning AI AI Neural Network 189

Analytics Vidhya

NOVEMBER 21, 2023

These representations are the vector embeddings generated by the Embedding Models. The vector stores have become an integral part of developing apps with Deep Learning Models, especially the Large Language Models.

Large Language Models 319

Large Language Models Deep Learning NLP Python 319

Unite.AI

FEBRUARY 28, 2024

Large language models (LLMs) like GPT-4, DALL-E have captivated the public imagination and demonstrated immense potential across a variety of applications. The sheer scale of these models, combined with advanced deep learning techniques, enables them to achieve state-of-the-art performance on language tasks.

Large Language Models 157

Large Language Models Machine Learning LLM Neural Network 157

Unite.AI

DECEMBER 19, 2024

Much of what the tech world has achieved in artificial intelligence (AI) today is thanks to recent advances in deep learning, which allows machines to learn automatically during training.

Robotics 218

Robotics Deep Learning AI AI 218

Analytics Vidhya

DECEMBER 26, 2023

Introduction Large Language Models have been the backbone of advancement in the AI domain. With the release of various Open source LLMs, the need for ChatBot-specific use cases has grown in demand.

Large Language Models 438

Large Language Models Chatbots AI AI 438

Unite.AI

APRIL 2, 2025

Training and running large language models (LLMs) requires vast computational power and equally vast amounts of energy. What makes Lumais approach truly novel is its use of 3D optical matrix-vector multiplication (MVM) a key operation in deep learning carried out in free space.

Neural Network 157

Neural Network Large Language Models AI AI 157

NVIDIA

MARCH 19, 2025

Everybody at NVIDIA is incentivized to figure out how to work together because the accelerated computing work that NVIDIA does requires full-stack optimization, said Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. You have to work together as one team to achieve acceleration.

Deep Learning 106

Deep Learning Neural Network Large Language Models Robotics 106

Analytics Vidhya

MAY 10, 2024

Introduction Large Language Models (LLMs) are crucial in various applications such as chatbots, search engines, and coding assistants. Batching, a key technique, helps manage […] The post LLMs Get a Speed Boost: New Tech Makes Them BLAZING FAST!

Large Language Models 336

Large Language Models LLM Chatbots Deep Learning 336

Unite.AI

MARCH 2, 2025

Artificial Intelligence (AI) is evolving at an unprecedented pace, with large-scale models reaching new levels of intelligence and capability. From early neural networks to todays advanced architectures like GPT-4 , LLaMA , and other Large Language Models (LLMs) , AI is transforming our interaction with technology.

Deep Learning 155

Deep Learning Neural Network Automation AI 155

Unite.AI

FEBRUARY 12, 2025

The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI. AGI, still under development, seeks to create machines that can think, learn, and comprehend a variety of functions like human abilities.

Neural Network 254

Neural Network Large Language Models Deep Learning Artificial Intelligence 254

Flipboard

FEBRUARY 10, 2025

What Is Ollama and the Ollama API Functionality Ollama is an open-source framework that enables developers to run large language models (LLMs) like Llama 3.2 It offers a lightweight, extensible platform for building and managing language models, providing a simple API for creating, running, and managing models.

Chatbots 149

Chatbots Computer Vision Deep Learning Large Language Models 149

Marktechpost

FEBRUARY 9, 2025

Recommended Open-Source AI Platform: IntellAgent is a An Open-Source Multi-Agent Framework to Evaluate Complex Conversational AI System (Promoted) The post Meta AI Introduces Brain2Qwerty: A New Deep Learning Model for Decoding Sentences from Brain Activity with EEG or MEG while Participants Typed Briefly Memorized Sentences on a QWERTY Keyboard appeared (..)

Deep Learning 94

Deep Learning Neural Network Conversational AI AI 94

Analytics Vidhya

OCTOBER 17, 2023

Introduction One of the most popular applications of large language models (LLMs) is to answer questions about custom datasets. LLMs like ChatGPT and Bard are excellent communicators. They can answer almost anything that they have been trained on. This is also one of the biggest bottlenecks for LLMs.

Large Language Models 361

Large Language Models ChatGPT LLM Deep Learning 361

John Snow Labs

NOVEMBER 8, 2024

Our results indicate that, for specialized healthcare tasks like answering clinical questions or summarizing medical research, these smaller models offer both efficiency and high relevance, positioning them as an effective alternative to larger counterparts within a RAG setup.

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Large Language Models NLP LLM Generative AI 52

Marktechpost

MARCH 10, 2025

This principle applies across various model classes, showing that deep learning isn’t fundamentally different from other approaches. However, deep learning remains distinctive in specific aspects. Recent research confirms that these phenomena apply to linear models. Check out the Paper.

Deep Learning 46

Deep Learning Convolutional Neural Networks Neural Network Explainability 46

Analytics Vidhya

JULY 11, 2024

They avoid the hassles of expensive fine-tuning of Large Language Models (LLMs). Introduction Retrieval Augmented Generation systems, better known as RAG systems, have quickly become popular for building Generative AI assistants on custom enterprise data.

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Large Language Models Generative AI AI AI 312

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. Accelerating AI Workloads with TensorRT TensorRT accelerates deep learning workloads by incorporating precision optimizations such as INT8 and FP16.

Large Language Models 130

Large Language Models LLM Natural Language Processing Auto-complete 130

Analytics Vidhya

APRIL 22, 2024

Google researchers have unveiled TransformerFAM, a novel architecture set to revolutionize long-context processing in large language models (LLMs). By integrating a feedback loop mechanism, TransformerFAM promises to enhance the network’s ability to handle infinitely long sequences.

Large Language Models 319

Large Language Models LLM Deep Learning 319

Analytics Vidhya

MAY 20, 2024

Introduction Artificial intelligence has made tremendous strides in Natural Language Processing (NLP) by developing Large Language Models (LLMs). These models, like GPT-3 and GPT-4, can generate highly coherent and contextually relevant text.

Large Language Models 318

Large Language Models Natural Language Processing Artificial Intelligence Artificial Intelligence 318

Unite.AI

FEBRUARY 6, 2025

Their extensive experience in deep learning models and large-scale infrastructure management led to the development of a state-of-the-art platform as a service (PaaS), built to eliminate AI deployment bottlenecks and streamline machine learning workflows.

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DevOps Machine Learning Large Language Models Automation 176

Analytics Vidhya

MAY 5, 2024

Introduction Large Language Models (LLMs) are advanced natural language processing models that have achieved remarkable success in various benchmarks for mathematical reasoning. LLMs are typically trained on large datasets scraped from […] The post LLMs Exposed: Are They Just Cheating on Math Tests?

Large Language Models 306

Large Language Models Natural Language Processing Deep Learning Data Science 306

NVIDIA

JUNE 14, 2024

NVIDIA today announced Nemotron-4 340B, a family of open models that developers can use to generate synthetic data for training large language models (LLMs) for commercial applications across healthcare, finance, manufacturing, retail and every other industry.

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Large Language Models LLM Data Quality Generative AI 145