Marktechpost

MARCH 8, 2025

Introducing the first-ever commercial-scale diffusion large language models (dLLMs), Inception labs promises a paradigm shift in speed, cost-efficiency, and intelligence for text and code generation tasks.

Large Language Models 79

Large Language Models Generative AI LLM AI Research 79

Towards AI

JANUARY 29, 2025

Fine-tuning large language models (LLMs) has become an easier task today thanks to the availability of low-code/no-code tools that allow you to simply upload your data, select a base model and obtain a fine-tuned model. However, it is important to understand the fundamentals before diving into these tools.

Large Language Models 89

Large Language Models LLM BERT Machine Learning 89

Machine Learning Research at Apple

JANUARY 17, 2025

Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems.

Large Language Models 100

Large Language Models 100

Marktechpost

JANUARY 11, 2025

Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. The post SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models appeared first on MarkTechPost.

Large Language Models 93

Large Language Models LLM Natural Language Processing NLP 93

Marktechpost

DECEMBER 2, 2024

The development of machine learning (ML) models for scientific applications has long been hindered by the lack of suitable datasets that capture the complexity and diversity of physical systems. This lack of comprehensive data makes it challenging to develop effective surrogate models for real-world scientific phenomena.

Machine Learning 112

Machine Learning ML Metadata Large Language Models 112

Unite.AI

NOVEMBER 19, 2024

Today, machine learning and neural networks build on these early ideas. They enable systems to learn from data, adapt, and improve over time. Automated Machine Learning (AutoML): Developing AI models has traditionally required skilled human input for tasks like optimizing architectures and tuning hyperparameters.

Automation 276

Automation AI AI Neural Network 276

AI News

NOVEMBER 28, 2024

In recent times, AI lab researchers have experienced delays in and challenges to developing and releasing large language models (LLM) that are more powerful than OpenAI’s GPT-4 model. First, there is the cost of training large models, often running into tens of millions of dollars.

Large Language Models 308

Large Language Models Big Data OpenAI AI Modeling 308

Marktechpost

MARCH 1, 2025

Large Language Models (LLMs) have advanced significantly, but a key limitation remains their inability to process long-context sequences effectively. While models like GPT-4o and LLaMA3.1 support context windows up to 128K tokens, maintaining high performance at extended lengths is challenging.

Large Language Models 79

Large Language Models Algorithm AI AI 79

Marktechpost

MARCH 6, 2025

Recommended Read- LG AI Research Releases NEXUS: An Advanced System Integrating Agent AI System and Data Compliance Standards to Address Legal Concerns in AI Datasets The post Alibaba Released Babel: An Open Multilingual Large Language Model LLM Serving Over 90% of Global Speakers appeared first on MarkTechPost.

Large Language Models 68

Large Language Models LLM NLP Data Quality 68

Unite.AI

NOVEMBER 13, 2024

Over the next few years, we anticipate AI and machine learning playing a key role in advancing observability capabilities, particularly through predictive analytics and automated anomaly detection. As multi-cloud environments become more complex, observability must adapt to handle diverse data sources and infrastructures.

Machine Learning 146

Machine Learning Large Language Models Data Quality Automation 146

AI News

FEBRUARY 13, 2025

Recent benchmarks from Hugging Face, a leading collaborative machine-learning platform, position Qwen at the forefront of open-source large language models (LLMs). The technical edge of Qwen AI Qwen AI is attractive to Apple in China because of the former’s proven capabilities in the open-source AI ecosystem.

Big Data 237

Big Data Natural Language Processing Large Language Models AI 237

Machine Learning Mastery

JANUARY 8, 2025

Introduction Training large language models (LLMs) is an involved process that requires planning, computational resources, and domain expertise. This article aims to identify five common mistakes to avoid when training […]

Large Language Models 114

Large Language Models Data Scientist Machine Learning AI Engineer 114

Marktechpost

NOVEMBER 29, 2024

One of the most prominent issues is the lack of interoperability between different large language models (LLMs) from multiple providers. Each model has unique APIs, configurations, and specific requirements, making it difficult for developers to switch between providers or use different models in the same application.

Python 138

Python Generative AI Large Language Models OpenAI 138

Analytics Vidhya

OCTOBER 14, 2024

Introduction While FastAPI is good for implementing RESTful APIs, it wasn’t specifically designed to handle the complex requirements of serving machine learning models. FastAPI’s support for asynchronous calls is primarily at the web level and doesn’t extend deeply into the model prediction layer.

AI Modeling 222

AI Modeling Machine Learning AI AI 222

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 314

Neural Network Deep Learning Algorithm AI 314

Unite.AI

OCTOBER 27, 2024

The ecosystem has rapidly evolved to support everything from large language models (LLMs) to neural networks, making it easier than ever for developers to integrate AI capabilities into their applications. The framework's design focuses on simplifying the process of model deployment while maintaining high performance.

Neural Network 159

Neural Network Machine Learning NLP Natural Language Processing 159

AI Weekly

JANUARY 16, 2025

therobotreport.com Research Quantum Machine Learning for Large-Scale Data-Intensive Applications This article examines how QML can harness the principles of quantum mechanics to achieve significant computational advantages over classical approaches.

Robotics 255

Robotics Artificial Intelligence Artificial Intelligence Large Language Models 255

Unite.AI

FEBRUARY 8, 2025

For example, a large language model might write a how-to article on domesticating lions or becoming a doctor at age 6. Generative models pretrained large language models in particular are especially vulnerable. Bias Amplification Like humans, AI can learn and reproduce biases.

Large Language Models 193

Large Language Models Algorithm AI AI 193

Unite.AI

FEBRUARY 6, 2025

The exponential rise of generative AI has brought new challenges for enterprises looking to deploy machine learning models at scale. Our platform integrates seamlessly across clouds, models, and frameworks, ensuring no vendor lock-in while future-proofing deployments for evolving AI patterns like RAGs and Agents.

DevOps 179

DevOps Machine Learning Large Language Models Automation 179

Unite.AI

MARCH 16, 2025

Why Zero-Shot Learning is a Game-Changer One of the most significant advancements in AI is zero-shot learning, which allows AI models to perform tasks or recognize objects without prior specific training. 8B, that creates multiple possible interpretations of the input.

AI 220

AI AI Data Quality AI Modeling 220

Towards AI

FEBRUARY 3, 2025

Last Updated on February 3, 2025 by Editorial Team Author(s): Rohan Rao Originally published on Towards AI. This member-only story is on us. Upgrade to access all of Medium. Photo by julien Tromeur on Unsplash I was going through a few basic topics of AI and suddenly I found AI hallucinations. So lets talk about it today.

Large Language Models 96

Large Language Models AI AI Machine Learning 96

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

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

Analytics Vidhya

MAY 28, 2024

This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning.

Large Language Models 336

Large Language Models Generative AI Python AI 336

Unite.AI

FEBRUARY 26, 2025

A Visionary Team at the Helm Bridgetown Research was founded by Harsh Sahai , a former Amazon machine learning leader and McKinsey & Co. The AI agents also leverage alternative data sources, including web-crawled insights and structured datasets from industry partners, to create a comprehensive analytical framework.

Large Language Models 159

Large Language Models AI AI Business Intelligence 159

Unite.AI

NOVEMBER 18, 2024

To begin, Workforce Management (WFM) with AI at its core leverages machine learning to accurately predict the labor required for specific shifts. Large Language Models (LLMs), the type of AI used in natural language interfaces, are ideal for employee communications and driving actions.

Automation 258

Automation AI AI Large Language Models 258

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. This development in technological capability offers significant opportunities but also several challenges.

Neural Network 257

Neural Network Large Language Models Deep Learning Artificial Intelligence 257

AI News

JANUARY 15, 2025

Unlike conventional safety measures integrated into individual models, Cisco delivers controls for a multi-model environment through its newly-announced AI Defense.

Big Data 288

Big Data AI AI LLM 288

Analytics Vidhya

JULY 19, 2024

Introduction In an era where artificial intelligence is reshaping industries, controlling the power of Large Language Models (LLMs) has become crucial for innovation and efficiency.

LLM 329

LLM Large Language Models Data Analysis Artificial Intelligence 329

Machine Learning Research at Apple

OCTOBER 31, 2024

Many app developers are interested in building on device experiences that integrate increasingly capable large language models (LLMs).

ML 135

ML Large Language Models 135

Unite.AI

DECEMBER 19, 2024

Its advanced AI Inference cluster, enhanced by comprehensive Machine Learning Operations (ML Ops) capabilities, enables organizations to seamlessly deploy and manage models at scale.

Large Language Models 159

Large Language Models AI AI Artificial Intelligence 159

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.

Large Language Models 312

Large Language Models Generative AI AI AI 312

AI News

SEPTEMBER 27, 2024

One of Databricks’ notable achievements is the DBRX model, which set a new standard for open large language models (LLMs). “Upon release, DBRX outperformed all other leading open models on standard benchmarks and has up to 2x faster inference than models like Llama2-70B,” Everts explains. .”

Large Language Models 296

Large Language Models Big Data Explainability ETL 296

Analytics Vidhya

MAY 27, 2024

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation.

Generative AI 370

Generative AI Large Language Models AI AI 370

Analytics Vidhya

AUGUST 29, 2024

Introduction Suppose you are on the brink of a technological revolution, which is to embrace the Large Language Models (LLMs,) to unlock some incredible opportunities. However, what people might not realize is that you […] The post 10 Free Resources to Learn LLMs appeared first on Analytics Vidhya. The good news?

Large Language Models 291

Large Language Models Chatbots Deep Learning Generative AI 291

Unite.AI

NOVEMBER 11, 2024

Alix Melchy is the VP of AI at Jumio, where he leads teams of machine learning engineers across the globe with a focus on computer vision, natural language processing and statistical modeling. Can you share insights on how Jumio’s biometric technology has evolved to combat the growing sophistication of identity fraud?

Machine Learning 159

Machine Learning AI AI Natural Language Processing 159

Marktechpost

OCTOBER 28, 2024

Strengths: Access to Google’s advanced AI research User-friendly interface Focus on practical applications of AI OpenAI Playground OpenAI Playground is a powerful tool for experimenting with large language models like GPT-3. It’s a great tool for beginners wanting to start with machine learning.

Neural Network 108

Neural Network Natural Language Processing Deep Learning Machine Learning 108