Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have demonstrated impressive capabilities in handling knowledge-intensive tasks through their parametric knowledge stored within model parameters. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 119

Large Language Models LLM Inference Engine ML 119

Marktechpost

OCTOBER 27, 2024

Large Language Models (LLMs) have lately demonstrated potential in expediting scientific discovery by generating research ideas due to their extensive text-processing capabilities. Check out the Paper. All credit for this research goes to the researchers of this project. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 108

Large Language Models LLM Inference Engine Automation 108

Marktechpost

OCTOBER 26, 2024

Large Language Models (LLMs) have shown remarkable potential in solving complex real-world problems, from function calls to embodied planning and code generation. Don’t Forget to join our 55k+ ML SubReddit.

Large Language Models 115

Large Language Models LLM Inference Engine Algorithm 115

Marktechpost

OCTOBER 19, 2024

Recent advancements in large language models (LLMs) have significantly enhanced their ability to handle long contexts, making them highly effective in various tasks, from answering questions to complex reasoning. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 104

Large Language Models Inference Engine ML AI 104

Marktechpost

OCTOBER 17, 2024

One of the biggest hurdles organizations face is implementing Large Language Models (LLMs) to handle intricate workflows effectively. Katanemo has open-sourced Arch-Function , making scalable agentic AI accessible to developers, data scientists, and enterprises. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 111

Large Language Models Inference Engine Automation Data Scientist 111

Marktechpost

OCTOBER 22, 2024

Despite recent advances in multimodal large language models (MLLMs), the development of these models has largely centered around English and Western-centric datasets. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 110

Large Language Models Data Scarcity Inference Engine LLM 110

Marktechpost

OCTOBER 27, 2024

Formal theorem proving has emerged as a critical benchmark for assessing the reasoning capabilities of large language models (LLMs), with significant implications for mathematical automation. Each approach brought specific innovations but remained limited in handling the comprehensive requirements of formal theorem proving.

Large Language Models 102

Large Language Models Metadata Inference Engine Automation 102

Marktechpost

OCTOBER 18, 2024

Recent advancements in Large Language Models (LLMs) have reshaped the Artificial intelligence (AI)landscape, paving the way for the creation of Multimodal Large Language Models (MLLMs). Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 114

Large Language Models Inference Engine Natural Language Processing LLM 114

Marktechpost

OCTOBER 16, 2024

Although there are situations where increasing model size may slightly mitigate the collapse, it does not entirely prevent the problem. The results are particularly concerning given the increasing reliance on synthetic data in large-scale AI systems. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 110

Large Language Models Neural Network Machine Learning Inference Engine 110

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 111

Large Language Models Inference Engine LLM ML 111

Marktechpost

OCTOBER 19, 2024

Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. Tools such as GPT-4 and Llama-3 have demonstrated remarkable language generation abilities, but their capacity for introspection had not been fully explored until this study.

Large Language Models 105

Large Language Models Inference Engine AI AI 105

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized various domains, including code completion, where artificial intelligence predicts and suggests code based on a developer’s previous inputs. Despite the promise of LLMs, many models struggle with balancing speed and accuracy. Don’t Forget to join our 50k+ ML SubReddit.

Large Language Models 116

Large Language Models Inference Engine Python Artificial Intelligence 116

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

Unite.AI

DECEMBER 12, 2024

Imagine this: you have built an AI app with an incredible idea, but it struggles to deliver because running large language models (LLMs) feels like trying to host a concert with a cassette player. This is where inference APIs for open LLMs come in. The potential is there, but the performance?

LLM 162

LLM AI AI OpenAI 162

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 122

LLM Large Language Models Inference Engine AI 122

NVIDIA

APRIL 9, 2024

NVIDIA and Google Cloud have announced a new collaboration to help startups around the world accelerate the creation of generative AI applications and services. Startups in particular are constrained by the high costs associated with AI investments.

AI Developer 145

AI Developer AI Development Generative AI Inference Engine 145

Marktechpost

OCTOBER 26, 2024

However, recent advancements in generative AI have opened up new possibilities for creating an infinite game experience. Researchers from Google and The University of North Carolina at Chapel Hill introduced UNBOUNDED, a generative infinite game designed to go beyond traditional, finite video game boundaries using AI.

Generative AI 118

Generative AI AI Modeling Large Language Models Inference Engine 118

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 59

Large Language Models Inference Engine LLM AI 59

Marktechpost

OCTOBER 25, 2024

Accurate assessment of Large Language Models is best done with complex tasks involving long input sequences. This article explains the latest research that systematically investigates positional biases in large language models. Relative position introduces a bias in LLMs, thus affecting their performance.

Large Language Models 64

Large Language Models Inference Engine Explainability LLM 64

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 119

AI Modeling Large Language Models Inference Engine Natural Language Processing 119

Unite.AI

JULY 18, 2024

AI hardware is growing quickly, with processing units like CPUs, GPUs, TPUs, and NPUs, each designed for specific computing needs. This variety fuels innovation but also brings challenges when deploying AI across different systems. As AI processing units become more varied, finding effective deployment strategies is crucial.

Neural Network 162

Neural Network AI Modeling AI AI 162

Unite.AI

NOVEMBER 25, 2024

As AI engineers, crafting clean, efficient, and maintainable code is critical, especially when building complex systems. For AI and large language model (LLM) engineers , design patterns help build robust, scalable, and maintainable systems that handle complex workflows efficiently. GPU memory ).

Python 147

Python LLM AI Engineer AI 147

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 139

Generative AI AI Modeling AI AI 139

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 124

LLM Inference Engine Large Language Models Machine Learning 124

Marktechpost

OCTOBER 24, 2024

Researchers from Salesforce AI Research have proposed Programmatic VLM Evaluation (PROVE), a new benchmarking paradigm that evaluates VLM responses to open-ended visual queries. If you like our work, you will love our newsletter. Don’t Forget to join our 55k+ ML SubReddit.

AI Research 121

AI Research AI Researcher Inference Engine Large Language Models 121

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 115

LLM Inference Engine Large Language Models AI 115

Marktechpost

OCTOBER 17, 2024

There is a need for flexible and efficient adaptation of large language models (LLMs) to various tasks. Existing approaches, such as mixture-of-experts (MoE) and model arithmetic, struggle with requiring substantial tuning data, inflexible model composition, or strong assumptions about how models should be used.

LLM 115

LLM Algorithm AI Research AI Researcher 115

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 111

Large Language Models LLM Inference Engine AI 111

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 111

Large Language Models LLM AI Developer AI Development 111

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 115

Large Language Models Inference Engine AI AI 115

Marktechpost

OCTOBER 22, 2024

Retrieval-Augmented Generation (RAG) is a growing area of research focused on improving the capabilities of large language models (LLMs) by incorporating external knowledge sources. Combined with its progressive approach, the coarse-to-fine granularity of FunnelRAG reduces time overhead while maintaining retrieval performance.

Large Language Models 115

Large Language Models Inference Engine AI AI 115

Marktechpost

OCTOBER 18, 2024

Traditionally, large language models (LLMs) used for building TTS pipelines convert speech to text using automatic speech recognition (ASR), process it using an LLM, and then convert the output back to speech via TTS. Check out the GitHub and Details. All credit for this research goes to the researchers of this project.

Inference Engine 122

Inference Engine Large Language Models AI AI 122

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 98

Generative AI Inference Engine Large Language Models OpenAI 98

NVIDIA

JUNE 12, 2024

Editor’s note: This post is part of the AI Decoded series , which demystifies AI by making the technology more accessible, and showcases new hardware, software, tools and accelerations for RTX PC users. The era of the AI PC is here, and it’s powered by NVIDIA RTX and GeForce RTX technologies. Tokens are the output of the LLM.

LLM 121

LLM Generative AI AI AI 121

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 119

Machine Learning LLM AI Research AI Researcher 119

Marktechpost

OCTOBER 20, 2024

Large language models (LLMs) have revolutionized the field of artificial intelligence by performing a wide range of tasks across different domains. These models are expected to work seamlessly in multiple languages, solving complex problems while ensuring safety. Check out the Paper.

AI Research 118

AI Research AI Researcher Inference Engine AI 118

Marktechpost

OCTOBER 23, 2024

This allows these models to create very realistic images. Considering the major influence of autoregressive ( AR ) generative models, such as Large Language Models in natural language processing ( NLP ), it’s interesting to explore whether similar approaches can work for images.

Natural Language Processing 113

Natural Language Processing Inference Engine NLP Large Language Models 113