Marktechpost

OCTOBER 21, 2024

Accelerating inference in large language models (LLMs) is challenging due to their high computational and memory requirements, leading to significant financial and energy costs. Check out the Paper , Model Series on Hugging Face , and GitHub. All credit for this research goes to the researchers of this project.

Large Language Models 57

Large Language Models Inference Engine AI AI 57

Marktechpost

OCTOBER 14, 2024

The problem with efficiently linearizing large language models (LLMs) is multifaceted. Existing methods that try to linearize these models by replacing quadratic attention with subquadratic analogs face significant challenges: they often lead to degraded performance, incur high computational costs, and lack scalability.

LLM 120

LLM Large Language Models Inference Engine AI 120

Marktechpost

OCTOBER 21, 2024

Artificial intelligence is advancing rapidly, but enterprises face many obstacles when trying to leverage AI effectively. Organizations require models that are adaptable, secure, and capable of understanding domain-specific contexts while also maintaining compliance and privacy standards. IBM has officially released Granite 3.0

AI Modeling 84

AI Modeling Large Language Models Inference Engine Natural Language Processing 84

Marktechpost

OCTOBER 18, 2024

The lack of effective evaluation methods poses a serious problem for AI research and development. Current evaluation frameworks, such as LLM-as-a-Judge, which uses large language models to judge outputs from other AI systems, must account for the entire task-solving process.

Large Language Models 109

Large Language Models LLM Inference Engine AI Developer 109

Marktechpost

OCTOBER 18, 2024

Large language models (LLMs) have demonstrated significant reasoning capabilities, yet they face issues like hallucinations and the inability to conduct faithful reasoning. These challenges stem from knowledge gaps, leading to factual errors during complex tasks. Don’t Forget to join our 50k+ ML SubReddit.

LLM 109

LLM Inference Engine Large Language Models AI 109

Marktechpost

OCTOBER 17, 2024

This requirement has prompted researchers to find effective ways to integrate real-time data and contextual understanding into Large Language Models (LLMs), which have difficulty interpreting real-world tasks. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

LLM 117

LLM Inference Engine Large Language Models Machine Learning 117

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have become crucial in natural language processing, particularly for solving complex reasoning tasks. These models are designed to handle mathematical problem-solving, decision-making, and multi-step logical deductions. If you like our work, you will love our newsletter.

Machine Learning 117

Machine Learning LLM AI Researcher AI Research 117

Marktechpost

OCTOBER 19, 2024

Long-context Large language models (LLMs) are designed to handle long input sequences, enabling them to process and understand large amounts of information. As the interference computation power is increased the large language models (LLMs) can perform diverse tasks.

Large Language Models 103

Large Language Models Inference Engine AI AI 103

Marktechpost

OCTOBER 16, 2024

The need for efficient and trustworthy techniques to assess the performance of Large Language Models (LLMs) is increasing as these models are incorporated into more and more domains. If you like our work, you will love our newsletter. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 98

Inference Engine Large Language Models OpenAI AI 98

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Inference Engine Natural Language Processing LLM 111

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have gained widespread adoption due to their advanced text understanding and generation capabilities. Third, the method operates in a black-box manner, requiring only access to the model’s textual output, making it practical for real-world applications.

Large Language Models 113

Large Language Models Inference Engine LLM Algorithm 113

Marktechpost

OCTOBER 16, 2024

Model merging, particularly within the realm of large language models (LLMs), presents an intriguing challenge that addresses the growing demand for versatile AI systems. Researchers from Arcee AI and Liquid AI propose a novel merging technique called Differentiable Adaptive Merging (DAM).

Inference Engine 62

Inference Engine Large Language Models AI AI 62

Marktechpost

OCTOBER 19, 2024

Large language models (LLMs) have demonstrated consistent scaling laws, revealing a power-law relationship between pretraining performance and computational resources. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 103

Inference Engine Large Language Models Artificial Intelligence Artificial Intelligence 103

Marktechpost

OCTOBER 15, 2024

The challenge lies in generating effective agentic workflows for Large Language Models (LLMs). Despite their remarkable capabilities across diverse tasks, creating workflows that combine multiple LLMs into coherent sequences is labor-intensive, which limits scalability and adaptability to new tasks.

Artificial Intelligence 122

Artificial Intelligence Artificial Intelligence Automation Inference Engine 122

Marktechpost

OCTOBER 17, 2024

Large Language Model (LLM)–based online agents have significantly advanced in recent times, resulting in unique designs and new benchmarks that show notable improvements in autonomous web navigation and interaction. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 62

Inference Engine Large Language Models LLM AI 62

Marktechpost

OCTOBER 16, 2024

Large language models (LLMs) have revolutionized various fields by enabling more effective data processing, complex problem-solving, and natural language understanding. Current approaches must adequately address the risks of introducing misleading or irrelevant information, which can diminish the quality of LLM responses.

LLM 105

LLM AI Researcher AI Research Inference Engine 105

Towards AI

JULY 1, 2024

Last Updated on July 3, 2024 by Editorial Team Author(s): Suhaib Arshad Originally published on Towards AI. Image source) There has been a drastic increase in number of generative AI products since the debut of ChatGPT in 2022. The deployment of these super powerful models into production environments is NOT easy and time efficient.

Generative AI 64

Generative AI Inference Engine Large Language Models OpenAI 64

Marktechpost

OCTOBER 21, 2024

Large language models (LLMs) can understand and generate human-like text across various applications. This research field is evolving rapidly as AI researchers explore new methods to enhance LLMs’ capabilities in handling advanced reasoning tasks, particularly in mathematics.

Large Language Models 62

Large Language Models Inference Engine AI AI 62

Marktechpost

OCTOBER 17, 2024

The PyTorch community has continuously been at the forefront of advancing machine learning frameworks to meet the growing needs of researchers, data scientists, and AI engineers worldwide. These updates help PyTorch stay competitive in the fast-moving field of AI infrastructure. With the latest PyTorch 2.5

Machine Learning 102

Machine Learning Neural Network Data Scientist Inference Engine 102

Marktechpost

OCTOBER 2, 2024

Large language models (LLMs) have advanced significantly in recent years. The need to make LLMs more accessible on smaller and resource-limited devices drives the development of more efficient frameworks for model inference and deployment. Check out the GitHub.

LLM 67

LLM Python Large Language Models Inference Engine 67

Marktechpost

OCTOBER 18, 2024

Large Language Models (LLMs) have gained significant traction in recent years, with fine-tuning pre-trained models for specific tasks becoming a common practice. However, this approach needs help in resource efficiency when deploying separate models for each task. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 62

Large Language Models Neural Network Inference Engine LLM 62

Marktechpost

JUNE 8, 2023

There are rising worries about the potential negative impacts of large language models (LLMs), such as data memorization, bias, and unsuitable language, despite LLMs’ widespread praise for their capacity to generate natural-sounding text.

Large Language Models 109

Large Language Models LLM Inference Engine AI 109

Marktechpost

OCTOBER 15, 2024

The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation.

LLM 109

LLM Inference Engine Natural Language Processing Large Language Models 109

NVIDIA

JULY 23, 2024

Businesses seeking to harness the power of AI need customized models tailored to their specific industry needs. NVIDIA AI Foundry is a service that enables enterprises to use data, accelerated computing and software tools to create and deploy custom models that can supercharge their generative AI initiatives.

Generative AI 113

Generative AI AI Modeling AI AI 113

Marktechpost

OCTOBER 20, 2024

Vision-Language-Action Models (VLA) for robotics are trained by combining large language models with vision encoders and then fine-tuning them on various robot datasets; this allows generalization to new instructions, unseen objects, and distribution shifts. If you like our work, you will love our newsletter.

Robotics 113

Robotics Inference Engine Large Language Models ML 113

Marktechpost

OCTOBER 17, 2024

Artificial Intelligence is evolving significantly, and Large Language Models have shown a remarkable capacity to comprehend human-text inputs. Going beyond simple text to analyzing and generating code, LLMs have shown promising results in software development. If you like our work, you will love our newsletter.

Machine Learning 67

Machine Learning Software Development Inference Engine Large Language Models 67

Marktechpost

OCTOBER 19, 2024

Code generation AI models (Code GenAI) are becoming pivotal in developing automated software demonstrating capabilities in writing, debugging, and reasoning about code. These models may inadvertently introduce insecure code, which could be exploited in cyberattacks.

Inference Engine 97

Inference Engine Large Language Models LLM AI Modeling 97

Marktechpost

OCTOBER 16, 2024

Large Language Models (LLMs) have demonstrated remarkable progress in natural language processing tasks, inspiring researchers to explore similar approaches for text-to-image synthesis. At the same time, diffusion models have become the dominant approach in visual generation.

Inference Engine 62

Inference Engine Natural Language Processing Large Language Models ML 62

Marktechpost

OCTOBER 20, 2024

The growing reliance on large language models for coding support poses a significant problem: how best to assess real-world impact on programmer productivity? Check out the Paper. All credit for this research goes to the researchers of this project. If you like our work, you will love our newsletter.

LLM 62

LLM Inference Engine Large Language Models ML 62

Marktechpost

OCTOBER 15, 2024

Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. Don’t Forget to join our 50k+ ML SubReddit.

Inference Engine 90

Inference Engine Large Language Models ML Artificial Intelligence 90

Marktechpost

OCTOBER 21, 2024

While alternative methods like large language model (LLM)-based encoders can handle longer sequences, they fail to provide the same level of alignment as contrastive pre-training encoders do. The growing popularity of diffusion models has been driven by advancements in fast sampling techniques and text-conditioned generation.

Inference Engine 57

Inference Engine Large Language Models LLM ML 57

ODSC - Open Data Science

MARCH 8, 2024

Bench IQ, a Toronto-based startup, has unveiled an AI platform that promises to change how lawyers prepare for court. Source ) According to a report, Apple is hoping to push forward its efforts in generative AI in a bid to catch up with competitor Microsoft. Do AI video generators dream of San Pedro?

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Large Language Models Data Science 52

Unite.AI

JANUARY 17, 2024

Due to their exceptional content creation capabilities, Generative Large Language Models are now at the forefront of the AI revolution, with ongoing efforts to enhance their generative abilities. However, despite rapid advancements, these models require substantial computational power and resources. Let's begin.

Large Language Models 130

Large Language Models Inference Engine LLM Generative AI 130

Marktechpost

OCTOBER 15, 2024

Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. In conclusion, the Embodied Agent Interface offers a thorough framework for evaluating LLM performance in tasks involving embodied AI.

Large Language Models 57

Large Language Models Inference Engine LLM AI 57

Marktechpost

OCTOBER 17, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in In-Context Learning (ICL), which is a technique that teaches them to complete tasks using just a few examples included in the input prompt and no further training. If you like our work, you will love our newsletter.

Large Language Models 109

Large Language Models Inference Engine LLM ML 109

Unite.AI

SEPTEMBER 24, 2024

Artificial Intelligence (AI) has moved from a futuristic idea to a powerful force changing industries worldwide. AI-driven solutions are transforming how businesses operate in sectors like healthcare, finance, manufacturing, and retail. However, scaling AI across an organization takes work.

Inference Engine 162

Inference Engine Large Language Models AI AI 162

Viso.ai

MAY 24, 2024

LAMs also combine language understanding with reasoning and software agents. Although still under research and development, these models can be a transformative force in the Artificial Intelligence (AI) world. Get ready for a journey in Large Action Models, where AI is not just talking, but taking action.

Neural Network 52

Neural Network Robotics Automation Explainability 52